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135 Commits

Author SHA1 Message Date
Barbara Borges Ribeiro
f66e9d5913 update commit pointer to most recent commit in shiny-test-apps 2017-09-07 21:32:00 -05:00
Winston Chang
f1ff17ea94 Remove shinybootstrap2 note 2017-09-07 21:32:00 -05:00
Winston Chang
397a6bfce4 Update README 2017-09-07 21:32:00 -05:00
Winston Chang
cc25e95cb2 Fix package caching 2017-09-07 21:32:00 -05:00
Winston Chang
72adf0ab57 Update app tests 2017-09-07 21:32:00 -05:00
Winston Chang
c5f04d276a Use updated apps 2017-09-07 21:32:00 -05:00
Winston Chang
29fc5bf720 Use correct version of Phantom on Travis 2017-09-07 21:32:00 -05:00
Winston Chang
d8887c20ca Add DT to suggested packages 2017-09-07 21:32:00 -05:00
Winston Chang
31f13b4846 Update test apps 2017-09-07 21:32:00 -05:00
Winston Chang
6d46a942c9 Use new compareImages option 2017-09-07 21:32:00 -05:00
Winston Chang
43b571fbab Use master branch from shinytest 2017-09-07 21:32:00 -05:00
Winston Chang
30076b7975 Try excluding screenshots from testing 2017-09-07 21:32:00 -05:00
Winston Chang
855525e17b Add shinytest to Suggests 2017-09-07 21:32:00 -05:00
Winston Chang
79480a63ae Update .Rbuildignore 2017-09-07 21:32:00 -05:00
Winston Chang
3782e515e8 Update Travis for submodule 2017-09-07 21:32:00 -05:00
Winston Chang
4a2e1b65cb Add shiny-test-apps submodule 2017-09-07 21:32:00 -05:00
Winston Chang
dc18b20e5a Don't copy httpuv::decodeURIComponent at build time 2017-09-07 21:31:32 -05:00
Barbara Borges Ribeiro
b4c5debbdf Merge pull request #1844 from rstudio/barbara/fix/reactlog
Changed script tags in reactlog from HTTP to HTTPS
2017-09-07 01:43:46 +01:00
Barbara Borges Ribeiro
771d3d52b9 Changed script tags in reactlog from HTTP to HTTPS in order to avoid mixed content blocking by most browsers (thanks @jekriske-lilly) 2017-09-07 01:34:17 +01:00
Joe Cheng
2a53ac093d Merge pull request #1830 from rstudio/wch-compare-version
Add Shiny.compareVersion() function
2017-09-05 11:37:17 -07:00
Winston Chang
4fa2af72cc Avoid port 6697. Closes #1784 2017-08-28 16:40:51 -05:00
Winston Chang
e512d3cd61 Grunt 2017-08-25 14:46:19 -05:00
Winston Chang
16b7ee3985 Add Shiny.compareVersion() function 2017-08-25 14:46:06 -05:00
Winston Chang
4f3d26c31b Add Shiny.version to Javascript (#1826)
* Add Shiny.version to Javascript

* Grunt
2017-08-23 15:52:16 -05:00
Winston Chang
587bf94d69 Merge tag 'v1.0.5'
Shiny 1.0.5 on CRAN
2017-08-23 15:27:56 -05:00
Winston Chang
635ad77e0d Bump version to 1.0.5 2017-08-23 13:11:59 -05:00
Winston Chang
33258da6c3 Bump version to 1.0.5.9000 2017-08-23 13:07:15 -05:00
Joe Cheng
c2b3c3379d Fix #1824: HEAD request on static files causes app to stop (#1825)
* Fix #1824: HEAD request on static files causes app to stop

The problem was that for HEAD requests specifically, we implement
an explicit Content-Length header (normally we let httpuv figure
out the Content-Length based on the content, but for HEAD we don't
return any content but still want to include the Content-Length).

The Content-Length header was only implemented correctly for string
values, not for raw vectors or file-by-path. This change implements
the value correctly for all currently valid httpuv content.

* Update NEWS

* Code review feedback
2017-08-23 13:01:22 -05:00
Winston Chang
e30fac02ed Add safe wrapper for fromJSON 2017-08-21 19:55:48 -05:00
Winston Chang
e74592a654 Escape a few more characters for conditionalPanel expressions 2017-08-21 14:25:20 -05:00
Joe Cheng
ebd47aa73b Merge pull request #1820 from rstudio/wch-fix-conditionalpanel
Escape newline characters in conditionalPanel expression
2017-08-18 20:49:48 -04:00
Winston Chang
e2d19cbaba Grunt 2017-08-18 17:24:06 -05:00
Winston Chang
1f864a846f Escape newline chars in conditionalPanel expr. Fixes #1818 2017-08-18 17:24:06 -05:00
Winston Chang
fc32c2c944 Clarify that choices must be strings 2017-08-18 11:48:41 -05:00
Winston Chang
279e37f1cb Bump version to 1.0.4.9000 2017-08-18 11:47:19 -05:00
Winston Chang
3f9176176e Merge tag 'v1.0.4'
Shiny 1.0.4 on CRAN
2017-08-14 12:01:26 -05:00
Winston Chang
b3201ccafd Add functions to news item 2017-08-10 14:29:06 -05:00
Winston Chang
2a01a620a9 Add NEWS summary 2017-08-10 12:03:22 -05:00
Winston Chang
6f43cf7b82 NEWS cleanup 2017-08-09 18:49:34 -05:00
Winston Chang
1c6250f9c2 Bump version to 1.0.4 2017-08-09 18:49:34 -05:00
Barbara Borges Ribeiro
650075a9ab Fix appendTab for empty tabsetPanels (#1813)
* fix appendTab for empty tabsetPanels; use spread operator to avoid having to resort to apply; upgrade grunt.

* revert back to `Math.max.apply(null, existingTabIds) + 1;` there's no browser compatibility issues there
2017-08-09 18:45:25 -05:00
Winston Chang
668ee6f24a Add references to issues 2017-08-08 11:16:57 -05:00
Alan Dipert
c456ec2c4c drag/drop-able fileInputs (#1782)
* fileInput WIP: Show dropzones when file dragged over window

- Still need to validate dataTransfer contents

* WIP: Basic functionality working

* wip

* Grunt

* WIP state machine

* WIP generalize FSM to data+multimethod

* WIP multimethod

* WIP draghover

* wip multimethod

* WIP, such refactor

* WIP: rm multimethod

* WIP

* WIP resurrect multimethod

* WIP move draghover functions into input object

* WIP colors: use more muted, bootstrap-esque glows

* Grunt

* WIP: use whenAny, more descriptive args in default test/dispatch fns

* WIP more whenAny

* Grunt

* WIP dont use for...of, requires polyfill

* Grunt

* multimethod improvements, documentation. `equal` function.

* multimethod: simplified equal, removed need for forward decl. docs.

* dox

* multimethod improvements, docs

* minor

* IE 10+ drag/drop, first cut

* Grunt

* use functions not arrows for faux instance methods

* Grunt

* fix uploadDropped call

* Grunt

* cleanup drop handler, fix entry to invalid state via doc drop handler

* Grunt

* IE workaround #293932

* Grunt

* yeeeeeeeeeeessss IE WORKSSSSS

* Cleanup; support activeClass/overClass

* everything basically works everywhere \o/

* revert ability to specify classes, hardcode in JS

* MM fixes

* minor fixes

* Grunt

* DnD: Support dragging directly over zones
- Happens when source window occludes browser window

* woo

* Note Safari bug, use draghover for zones

* merge

* Grunt

* news

* include CSS
2017-08-08 11:12:21 -05:00
Joe Cheng
3b0c390a9e Merge pull request #1794 from rstudio/barbara/tabs
Dynamic tabs
2017-08-04 11:31:50 -07:00
Barbara Borges Ribeiro
b02eb11345 do inputId <- session$ns(inputId) in user facing functions for module functionality (rather than overriding the same functions in makeScope) 2017-08-04 18:02:43 +01:00
Barbara Borges Ribeiro
ed3ba303bc Joe's feedback 2017-08-04 17:56:58 +01:00
Barbara Borges Ribeiro
ee5da1410e make hide and remove work well when we want to hide/remove a tab inside a navbarMenu (or the whole menu) and it is selected (before this commit, it wasn't navigating to the first tab like it is supposed to) 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
494627c6e1 make this PR work for modules 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
82ac112dec added select argument to showTab function 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
40cfff33ff for dynamic tabs, send message on session$onFlush (instead of session$onFlushed) 2017-08-04 15:10:08 +01:00
Joe Cheng
c1c5873912 Abandon nearest neighbor tab-showing logic. Just grab the first tab. 2017-08-04 15:10:08 +01:00
Joe Cheng
c090efd562 Fix bug where last tab being removed, didn't update tabset input value 2017-08-04 15:10:08 +01:00
Joe Cheng
91dbb0e77b htmlDependencies are properly loaded with dynamic tabs 2017-08-04 15:10:08 +01:00
Joe Cheng
dde7b144f0 Add select=FALSE argument to insert/append/prependTab 2017-08-04 15:10:08 +01:00
Joe Cheng
f1873a014c Make tab prepend/append just edge cases of insert 2017-08-04 15:10:08 +01:00
Joe Cheng
48b8923b67 Properly escape jQuery selector strings 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
6f9f3fea83 implement navigation after hiding/removing selected tab 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
10f3320165 more JS code refactoring; improved documentation 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
d57aa33b40 insertion fully implemented 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
0e7c78bae3 refactored code and made insertion of navbarMenus possible 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
e6602786ec updated docs 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
31bbb3894c remove extra line 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
8bbf576807 typo: tag -> tab (makes a big difference!) 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
1ecc9b9d0e Fixed documentation problems and JS code logic 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
3adbebc3d9 document similar things together; add prependTab and appendTab 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
a4c086f51b now working for navbarPage and navlistPanel 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
0ecdcec698 clean up JS code (1 line only) 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
ae7f026d46 added NEWS and fixed typo 2017-08-04 15:10:08 +01:00
Barbara Borges Ribeiro
2813e0b706 update examples 2017-08-04 15:09:00 +01:00
Barbara Borges Ribeiro
a409562d00 delete extra brackets 2017-08-04 15:09:00 +01:00
Barbara Borges Ribeiro
b6b6661ea1 implement showTab and removeTab 2017-08-04 15:09:00 +01:00
Barbara Borges Ribeiro
fb7b6f667c implement removeTab 2017-08-04 15:09:00 +01:00
Barbara Borges Ribeiro
b94efe81e4 finish insertTab 2017-08-04 15:09:00 +01:00
Barbara Borges Ribeiro
72a1b3d2a0 add functions to index.r 2017-08-04 15:09:00 +01:00
Barbara Borges Ribeiro
20bff18bd4 changes 2017-08-04 15:09:00 +01:00
Winston Chang
ba5c5ef4fb Move isRunning function to better location 2017-07-27 14:56:01 -05:00
Barbara Borges Ribeiro
aff3ac0bb3 Add onStop function (#1770)
* NEWS item

* added `onStop` arg to `shinyApp()` (and renamed our internal `onEnd` - which is what was calling `on.exit()` already - to `onStop` as well)

* added onStop() function

* add entry for documentation

* make it work for all possible app structures (interactive, saved as app.R, saved as ui.R and server.R)

* fix #1772: make sure `onStart` works in all scenarios

* update NEWS

* improved wording

* more wording

* and more wording

* don't stop execution if a `onStop` callback function results in an error

* remove "(all sessions have been disconnected)" because it's misleading

* add @seealso documentation

* shamefully forgot to Cmd Shift D

* change code place

* Code review feedback

* onStop: use session argument instead of scope
2017-07-27 14:54:55 -05:00
Winston Chang
2c350daf01 Merge pull request #1802 from rstudio/bugfix/rstudio-debugger
work around RStudio debugger issue (closes #1474)
2017-07-27 13:14:01 -05:00
Winston Chang
cb7627c736 Update NEWS and add comment 2017-07-27 13:13:31 -05:00
Kevin Ushey
f731a5cae4 work around RStudio debugger issue (closes #1474) 2017-07-27 10:37:56 -07:00
Winston Chang
07cb7c9305 Add 'setSerializer' function (#1792) 2017-07-18 17:01:06 -05:00
Winston Chang
86e9cc4896 Add preprocessor for fileInputs that strips local path (#1789)
* Add preprocessor for fileInputs that strips local path

* Update NEWS

* Rename snapshotPreprocess to snapshotPreprocessOutput

* Add snapshotPreprocessInput function

* Remove unnecessary NEWS item

* Update NEWS

* Add getSnapshotPreprocessInput

* Add staticdocs entry for snapshotPreprocessInput

* Add private methods to get snapshotPreprocess functions

* Bump version to 1.0.3.9002
2017-07-13 16:07:16 -05:00
Joe Cheng
12c9405257 Merge pull request #1790 from rstudio/wch-warn-level
Don't reduce warn level when running app
2017-07-12 22:41:21 -07:00
Winston Chang
4708b44c59 Don't reduce warn level when running app. Fixes #1680 2017-07-12 19:29:49 -05:00
Winston Chang
4cb428bb92 Add a function to test if an app is running (#1785)
Squashed commit of the following:

commit 8667bed8962069a5cab8691f981e2b7ba9d449c3
Author: Winston Chang <winston@stdout.org>
Date:   Tue Jul 11 14:36:11 2017 -0500

    Edits

commit c4e8549ca5
Author: Konrad Rudolph <konrad.rudolph@gmail.com>
Date:   Fri Jul 7 17:57:33 2017 +0100

    Describe changes

commit 7b05c2e60f
Author: Konrad Rudolph <konrad.rudolph@gmail.com>
Date:   Fri Jul 7 17:54:40 2017 +0100

    Add new function to doc index

commit eb93ebfad8
Author: Konrad Rudolph <konrad.rudolph@gmail.com>
Date:   Fri Jul 7 17:54:30 2017 +0100

    Add documentatio for new function

commit 1a6c8a4d72
Author: Konrad Rudolph <konrad.rudolph@gmail.com>
Date:   Fri Jul 7 17:53:13 2017 +0100

    Add a function to test whether the app is running
2017-07-11 14:36:59 -05:00
Mine Cetinkaya-Rundel
d7391b19bc Convert examples to single file apps (#1685)
* - Convert all example apps to single file app.R file
- Make relevant updates to Readmes to match up with app.R structure
- Add color to plots (RStudio blue)
- In 04_mpg example: Show outliers by default, as opposed to hide, since this is more routine
- In 06_tabsets and 08_html examples: Don't name random data vector "data"
- Add extensive comments to app.R files and use consistent formatting of comments across examples
- In 09_upload example: Use req() to check for NULL entry

* add news entry summarizing changes

* use true RStudio blue, #75AADB

* Conver shinyApp calls at the end to drop argument name in examples 3-11, except for the custom HTML example. Kept them in for examples 1&2 for completeness in first exporuse to function.

* Pull news items that got added before this PR was merged

* Update comment for shinyApp function -- it creates an app object, doesn't run the app
2017-07-11 14:20:01 -05:00
Joe Cheng
db9e56d1ca Merge pull request #1768 from rstudio/wch-fix-with-private-seed
Fix withPrivateSeed
2017-07-11 12:17:02 -07:00
Winston Chang
e527af10f4 New version of httpuv is on CRAN 2017-07-11 13:45:45 -05:00
Joe Cheng
74c7be0a6d Merge pull request #1786 from rstudio/joe/bugfix/fileinput-content-type
Use a more suitable content type for file uploads
2017-07-10 15:39:13 -07:00
Joe Cheng
2d40e7b51a Use a more suitable content type for file uploads
application/x-www-form-urlencoded;charset=UTF-8 is the default, which shinyapps.io
cares about for some reason and tries to parse the data as such. By setting the
content type to the more accurate application/octet-stream, no middleware should
be tempted to futz with the contents.
2017-07-10 15:33:42 -07:00
Winston Chang
ea407fb2ea Don't include xtable comment in renderTable by default 2017-06-27 15:05:31 -05:00
Winston Chang
fca5b0529a Remove reinitalizeSeed
This function is no longer needed because the minimum R vesion supported by Shiny is 3.0.2.
2017-06-27 10:30:50 -05:00
Winston Chang
65fd1dd2d8 Remove branch name for httpuv remote 2017-06-26 22:40:37 -05:00
Winston Chang
0a7ede3818 Add tests for random streams 2017-06-26 21:59:52 -05:00
Winston Chang
24e84f3866 Prevent private random stream from leaking out. Fixes #1763 2017-06-26 21:59:51 -05:00
Winston Chang
c1c8e46c09 Refactor withPrivateSeed 2017-06-26 21:59:51 -05:00
Winston Chang
8591e4f301 Add working app for conditionalPanel example 2017-06-23 10:14:32 -05:00
Alan Dipert
10db7ad89c Support modules in conditionalPanel (#1735) 2017-06-23 10:12:15 -05:00
Joe Cheng
4ca4f442b9 Required R version is 3.0.2 due to sourcetools 2017-06-22 19:42:49 -05:00
Winston Chang
6d5ecbc9c4 Fix indentation 2017-06-22 13:18:05 -05:00
Winston Chang
ea685a5686 Don't send local package path to client when using htmlwidgets (#1756)
* Don't send local package path to client when using htmlwidgets. Fixes #1755

* Add scrubFile option
2017-06-22 13:16:19 -05:00
Winston Chang
376d3b6e91 Merge pull request #1760 from rstudio/wch-snapshot-preprocess
Add snapshotPreprocess function
2017-06-22 13:01:09 -05:00
Winston Chang
df7397af1f Bump version 2017-06-21 14:27:03 -05:00
Winston Chang
9ba9345b04 Add snapshotPreprocess function 2017-06-21 14:27:03 -05:00
Barbara Borges Ribeiro
9fc5758ae0 Triggers a new shiny:outputinvalidated event (#1758)
* trigger a new `shiny:invalidated` event when an output gets invalidated, at the same time that the `recalculating` CSS class is added (fixes #1688)

* add attribution to @andrewsali

* change event name from 'shiny:invalidated' to 'shiny:outputinvalidated'

* add binding and name to the new event 'shiny:outputinvalidated'
2017-06-21 12:28:51 -05:00
Winston Chang
25298a6182 In test mode, send message to client even when no outputs change (#1747)
* In test mode, send message to client even when no outputs change

* Update NEWS.md
2017-06-20 13:50:28 -05:00
Winston Chang
246da1bff6 Grunt 2017-06-16 13:48:38 -05:00
Carl Ganz
8b5d12b958 Add placeholder parameter to updateTextInput (#1742)
* add placeholder parameter

* add js placeholder code

* roxygenize

* grunt

* fix updateCheckBoxInput not to use placeholder

* simply roxygen

* add NEWS

* revert grunt
2017-06-15 22:00:39 -05:00
Alan Dipert
3817370d4e fileInput JS: Allow uploading the same file. (#1719)
* tools README: notes about entr + grunt

* fileInput JS: Allow uploading the same file. Fixes #1508

* Grunt

* Added note to NEWS.

* tools README: add Linux section, fix formatting
2017-06-15 15:09:37 -05:00
Alan Dipert
c29846a9da fileInput: Preserve extension of files uploaded from IE9 (#1717)
* fileInput: IE addendum to #1706

- Attempt to preserve the extension of files uploaded from IE9.

* maybeMoveIEUpload: Fix if spacing
2017-06-15 13:47:21 -05:00
Winston Chang
2158f906a7 Merge pull request #1736 from rstudio/wch-fix-unbind
Fix condition for calling exports.unbindAll()
2017-06-15 13:05:16 -05:00
Winston Chang
008dd280d6 Grunt 2017-06-08 17:03:21 -07:00
Winston Chang
fb99db011c Fix condition for calling exports.unbindAll(). (Correction to #1449) 2017-06-08 17:02:56 -07:00
Joe Cheng
c0fbd9cb3c Merge pull request #1732 from rstudio/barbara/mods
Fixed #1546: make it possible to write into a module's session$userData non-hackily
2017-06-07 22:45:47 -07:00
Barbara Borges Ribeiro
fb79b18002 More descriptive NEWS item and added an explanatory comment to the code 2017-06-07 13:28:51 -07:00
Barbara Borges Ribeiro
3841f22108 Fixed #1546: make it possible (without any hacks) to write arbitrary data into a module's session$userData 2017-06-07 12:11:05 -07:00
Winston Chang
379d523ac5 Add better error messages for errors parsing and evaluating JS code (#1727)
* Add better error messages for errors parsing and evaluating JS code

* Grunt
2017-06-02 14:31:06 -05:00
Winston Chang
07ec7f8c13 Update Rproj for new version of RStudio IDE 2017-06-02 13:31:33 -05:00
Alan Dipert
d0f29cc7a2 fileInput: If possible, retain uploaded file extensions on the server. (#1706) 2017-05-26 11:16:02 -05:00
Joe Cheng
0e23a487f7 Merge pull request #1713 from rstudio/jjallaire-contributing-links
Update links in CONTRIBUTING.md
2017-05-23 14:05:43 -07:00
JJ Allaire
ac10f7c426 Update links in CONTRIBUTING.md
Update the links to contributor agreements to reflect new versions that use my current email rather than rstudio.org based one.

I've made the same change in the rstudio and rmarkdown repos, we should make it in other repos that have a contributor agreement as well.
2017-05-23 16:38:02 -04:00
Joe Cheng
852c00009e Merge pull request #1712 from rstudio/wch-fix-reactiveval
Give each ReactiveVal separate dependents
2017-05-22 11:15:35 -07:00
Winston Chang
b365798e66 Add tests for ReactiveVal independence 2017-05-22 10:35:01 -05:00
Winston Chang
66a6097a49 Give each ReactiveVal separate dependents. Fixes #1710 2017-05-22 10:34:27 -05:00
Winston Chang
0e529d3d92 Fix partial arg match. Closes #1701 2017-05-10 10:08:05 -05:00
Winston Chang
06c75dd656 Bump version to 1.0.3.9000 2017-04-28 09:45:17 -05:00
Winston Chang
69c32d4d90 Bump version to 1.0.3 2017-04-25 15:33:10 -05:00
Winston Chang
36ffebd975 Workaround for NOTE about objects in yet-unreleased version of ggplot2 2017-04-25 15:33:10 -05:00
Winston Chang
deb56539fb Better reactivePoll example. Closes #1678 2017-04-25 10:48:29 -05:00
Winston Chang
af8d099b9f Don't call body(NULL). Fixes #1676 2017-04-24 13:42:22 -05:00
Winston Chang
eed869d321 Make fileInput progress bar change color on error (#1673)
* Make fileInput progress bar change color on error. Fixes #1672

* Grunt

* Update NEWS
2017-04-21 11:33:14 -05:00
Winston Chang
f8f2acf6c3 Bump version to 1.0.2.9000 2017-04-18 16:38:14 -05:00
Winston Chang
7be9f74827 Merge tag 'v1.0.2'
Shiny 1.0.2 on CRAN
2017-04-18 16:36:44 -05:00
Barbara Borges Ribeiro
ed77982330 Merge pull request #1670 from rstudio/joe/prebuilt
pre-built => prebuilt
2017-04-18 19:58:32 +01:00
Joe Cheng
e1b47eca90 pre-built => prebuilt 2017-04-18 11:09:45 -07:00
119 changed files with 4489 additions and 1165 deletions

View File

@@ -1,7 +1,7 @@
^\.Rproj\.user$
^\.git$
^examples$
^shiny\.Rproj$
^.*\.Rproj$
^shiny\.sh$
^shiny\.cmd$
^run\.R$
@@ -18,3 +18,5 @@
^.*\.o$
^appveyor\.yml$
^revdep$
^tests/testthat/apps/\.git$
^travis_phantomjs$

3
.gitmodules vendored Normal file
View File

@@ -0,0 +1,3 @@
[submodule "tests/testthat/apps"]
path = tests/testthat/apps
url = git@github.com:rstudio/shiny-test-apps.git

View File

@@ -1,10 +1,39 @@
dist: trusty
language: r
r:
- oldrel
- release
- devel
sudo: false
cache: packages
cache:
packages: true
# Use newer version of PhantomJS than is installed by default on basic R image.
# Code referenced from:
# https://github.com/travis-ci/travis-ci/issues/3225#issuecomment-255500144
directories:
- "travis_phantomjs"
# Need to replace the git: URL with https: so that Travis can check out the
# submodule.
git:
submodules: false
before_install:
# For updated version of PhantomJS
- "export PHANTOMJS_VERSION=2.1.1"
- "phantomjs --version"
- "export PATH=$PWD/travis_phantomjs/phantomjs-$PHANTOMJS_VERSION-linux-x86_64/bin:$PATH"
- "hash -r"
- "phantomjs --version"
- "if [ $(phantomjs --version) != $PHANTOMJS_VERSION ]; then rm -rf $PWD/travis_phantomjs; mkdir -p $PWD/travis_phantomjs; fi"
- "if [ $(phantomjs --version) != $PHANTOMJS_VERSION ]; then wget https://github.com/Medium/phantomjs/releases/download/v$PHANTOMJS_VERSION/phantomjs-$PHANTOMJS_VERSION-linux-x86_64.tar.bz2 -O $PWD/travis_phantomjs/phantomjs-$PHANTOMJS_VERSION-linux-x86_64.tar.bz2; fi"
- "if [ $(phantomjs --version) != $PHANTOMJS_VERSION ]; then tar -xvf $PWD/travis_phantomjs/phantomjs-$PHANTOMJS_VERSION-linux-x86_64.tar.bz2 -C $PWD/travis_phantomjs; fi"
- "if [ $(phantomjs --version) != $PHANTOMJS_VERSION ]; then hash -r; fi"
- "phantomjs --version"
# For git submodule
- sed -i 's/git@github.com:/https:\/\/github.com\//' .gitmodules
- git submodule update --init --recursive
notifications:
email:

View File

@@ -2,7 +2,7 @@ We welcome contributions to the **shiny** package. To submit a contribution:
1. [Fork](https://github.com/rstudio/shiny/fork) the repository and make your changes.
2. If the change is non-trivial, ensure that you have signed the [individual](http://www.rstudio.com/wp-content/uploads/2014/06/RStudioIndividualContributorAgreement.pdf) or [corporate](http://www.rstudio.com/wp-content/uploads/2014/06/RStudioCorporateContributorAgreement.pdf) contributor agreement as appropriate. You can send the signed copy to jj@rstudio.com. For trivial changes (like typo fixes), a contributor agreement is not needed.
2. Ensure that you have signed the [individual](https://rstudioblog.files.wordpress.com/2017/05/rstudio_individual_contributor_agreement.pdf) or [corporate](https://rstudioblog.files.wordpress.com/2017/05/rstudio_corporate_contributor_agreement.pdf) contributor agreement as appropriate. You can send the signed copy to jj@rstudio.com.
3. Submit a [pull request](https://help.github.com/articles/using-pull-requests).

View File

@@ -1,7 +1,7 @@
Package: shiny
Type: Package
Title: Web Application Framework for R
Version: 1.0.2
Version: 1.0.5.9000
Authors@R: c(
person("Winston", "Chang", role = c("aut", "cre"), email = "winston@rstudio.com"),
person("Joe", "Cheng", role = "aut", email = "joe@rstudio.com"),
@@ -56,22 +56,23 @@ Authors@R: c(
)
Description: Makes it incredibly easy to build interactive web
applications with R. Automatic "reactive" binding between inputs and
outputs and extensive pre-built widgets make it possible to build
outputs and extensive prebuilt widgets make it possible to build
beautiful, responsive, and powerful applications with minimal effort.
License: GPL-3 | file LICENSE
Depends:
R (>= 3.0.0),
R (>= 3.0.2),
methods
Imports:
utils,
httpuv (>= 1.3.3),
httpuv (>= 1.3.5),
mime (>= 0.3),
jsonlite (>= 0.9.16),
xtable,
digest,
htmltools (>= 0.3.5),
R6 (>= 2.0),
sourcetools
sourcetools,
tools
Suggests:
datasets,
Cairo (>= 1.5-5),
@@ -80,10 +81,15 @@ Suggests:
markdown,
rmarkdown,
ggplot2,
magrittr
magrittr,
DT,
shinytest
Remotes:
rstudio/shinytest,
rstudio/DT
URL: http://shiny.rstudio.com
BugReports: https://github.com/rstudio/shiny/issues
Collate:
Collate:
'app.R'
'bookmark-state-local.R'
'stack.R'
@@ -122,6 +128,7 @@ Collate:
'input-text.R'
'input-textarea.R'
'input-utils.R'
'insert-tab.R'
'insert-ui.R'
'jqueryui.R'
'middleware-shiny.R'
@@ -143,6 +150,7 @@ Collate:
'shinyui.R'
'shinywrappers.R'
'showcase.R'
'snapshot.R'
'tar.R'
'test-export.R'
'timer.R'

View File

@@ -40,6 +40,7 @@ export(actionButton)
export(actionLink)
export(addResourcePath)
export(animationOptions)
export(appendTab)
export(as.shiny.appobj)
export(basicPage)
export(bookmarkButton)
@@ -100,6 +101,7 @@ export(h5)
export(h6)
export(headerPanel)
export(helpText)
export(hideTab)
export(hoverOpts)
export(hr)
export(htmlOutput)
@@ -114,6 +116,7 @@ export(includeMarkdown)
export(includeScript)
export(includeText)
export(inputPanel)
export(insertTab)
export(insertUI)
export(installExprFunction)
export(invalidateLater)
@@ -121,6 +124,7 @@ export(is.reactive)
export(is.reactivevalues)
export(is.shiny.appobj)
export(is.singleton)
export(isRunning)
export(isTruthy)
export(isolate)
export(knit_print.html)
@@ -152,6 +156,7 @@ export(onReactiveDomainEnded)
export(onRestore)
export(onRestored)
export(onSessionEnded)
export(onStop)
export(outputOptions)
export(p)
export(pageWithSidebar)
@@ -161,6 +166,7 @@ export(passwordInput)
export(plotOutput)
export(plotPNG)
export(pre)
export(prependTab)
export(printError)
export(printStackTrace)
export(radioButtons)
@@ -180,6 +186,7 @@ export(registerInputHandler)
export(removeInputHandler)
export(removeModal)
export(removeNotification)
export(removeTab)
export(removeUI)
export(renderDataTable)
export(renderImage)
@@ -203,6 +210,7 @@ export(selectizeInput)
export(serverInfo)
export(setBookmarkExclude)
export(setProgress)
export(setSerializer)
export(shinyApp)
export(shinyAppDir)
export(shinyAppFile)
@@ -213,11 +221,14 @@ export(showBookmarkUrlModal)
export(showModal)
export(showNotification)
export(showReactLog)
export(showTab)
export(sidebarLayout)
export(sidebarPanel)
export(singleton)
export(sliderInput)
export(snapshotExclude)
export(snapshotPreprocessInput)
export(snapshotPreprocessOutput)
export(span)
export(splitLayout)
export(stopApp)

114
NEWS.md
View File

@@ -1,3 +1,117 @@
shiny 1.0.5.9000
================
## Full changelog
### Breaking changes
### New features
### Minor new features and improvements
* Changed script tags in reactlog ([inst/www/reactive-graph.html](https://github.com/rstudio/shiny/blob/master/inst/www/reactive-graph.html)) from HTTP to HTTPS in order to avoid mixed content blocking by most browsers. (Thanks, [@jekriske-lilly](https://github.com/jekriske-lilly)! [#1844](https://github.com/rstudio/shiny/pull/1844))
* The version of Shiny is now accessible from Javascript, with `Shiny.version`. There is also a new function for comparing version strings, `Shiny.compareVersion()`. ([#1826](https://github.com/rstudio/shiny/pull/1826), [#1830](https://github.com/rstudio/shiny/pull/1830))
* Addressed [#1784](https://github.com/rstudio/shiny/issues/1784): `runApp()` will avoid port 6697, which is considered unsafe by Chrome.
### Bug fixes
* The internal `URLdecode()` function previously was a copy of `httpuv::decodeURIComponent()`, assigned at build time; now it invokes the httpuv function at run time.
### Library updates
shiny 1.0.5
===========
## Full changelog
### Bug fixes
* Fixed [#1818](https://github.com/rstudio/shiny/issues/1818): `conditionalPanel()` expressions that have a newline character in them caused the application to not work. ([#1820](https://github.com/rstudio/shiny/pull/1820))
* Added a safe wrapper function for internal calls to `jsonlite::fromJSON()`. ([#1822](https://github.com/rstudio/shiny/pull/1822))
* Fixed [#1824](https://github.com/rstudio/shiny/issues/1824): HTTP HEAD requests on static files caused the application to stop. ([#1825](https://github.com/rstudio/shiny/pull/1825))
shiny 1.0.4
===========
There are three headlining features in this release of Shiny. It is now possible to add and remove tabs from a `tabPanel`; there is a new function, `onStop()`, which registers callbacks that execute when an application exits; and `fileInput`s now can have files dragged and dropped on them. In addition to these features, this release has a number of minor features and bug fixes. See the full changelog below for more details.
## Full changelog
### New features
* Implemented [#1668](https://github.com/rstudio/shiny/issues/1668): dynamic tabs: added functions (`insertTab`, `appendTab`, `prependTab`, `removeTab`, `showTab` and `hideTab`) that allow you to do those actions for an existing `tabsetPanel`. ([#1794](https://github.com/rstudio/shiny/pull/1794))
* Implemented [#1213](https://github.com/rstudio/shiny/issues/1213): Added a new function, `onStop()`, which can be used to register callback functions that are invoked when an application exits, or when a user session ends. (Multiple sessions can be connected to a single running Shiny application.) This is useful if you have finalization/clean-up code that should be run after the application exits. ([#1770](https://github.com/rstudio/shiny/pull/1770)
* Implemented [#1155](https://github.com/rstudio/shiny/issues/1155): Files can now be drag-and-dropped on `fileInput` controls. The appearance of `fileInput` controls while files are being dragged can be modified by overriding the `shiny-file-input-active` and `shiny-file-input-over` classes. ([#1782](https://github.com/rstudio/shiny/pull/1782))
### Minor new features and improvements
* Addressed [#1688](https://github.com/rstudio/shiny/issues/1688): trigger a new `shiny:outputinvalidated` event when an output gets invalidated, at the same time that the `recalculating` CSS class is added. ([#1758](https://github.com/rstudio/shiny/pull/1758), thanks [@andrewsali](https://github.com/andrewsali)!)
* Addressed [#1508](https://github.com/rstudio/shiny/issues/1508): `fileInput` now permits the same file to be uploaded multiple times. ([#1719](https://github.com/rstudio/shiny/pull/1719))
* Addressed [#1501](https://github.com/rstudio/shiny/issues/1501): The `fileInput` control now retains uploaded file extensions on the server. This fixes [readxl](https://github.com/tidyverse/readxl)'s `readxl::read_excel` and other functions that must recognize a file's extension in order to work. ([#1706](https://github.com/rstudio/shiny/pull/1706))
* For `conditionalPanel`s, Shiny now gives more informative messages if there are errors evaluating or parsing the JavaScript conditional expression. ([#1727](https://github.com/rstudio/shiny/pull/1727))
* Addressed [#1586](https://github.com/rstudio/shiny/issues/1586): The `conditionalPanel` function now accepts an `ns` argument. The `ns` argument can be used in a [module](https://shiny.rstudio.com/articles/modules.html) UI function to scope the `condition` expression to the module's own input and output IDs. ([#1735](https://github.com/rstudio/shiny/pull/1735))
* With `options(shiny.testmode=TRUE)`, the Shiny process will send a message to the client in response to a changed input, even if no outputs have changed. This helps to streamline testing using the shinytest package. ([#1747](https://github.com/rstudio/shiny/pull/1747))
* Addressed [#1738](https://github.com/rstudio/shiny/issues/1738): The `updateTextInput` and `updateTextAreaInput` functions can now update the placeholder. ([#1742](https://github.com/rstudio/shiny/pull/1742))
* Converted examples to single file apps, and made updates and enhancements to comments in the example app scripts. ([#1685](https://github.com/rstudio/shiny/pull/1685))
* Added new `snapshotPreprocessInput()` and `snapshotPreprocessOutput()` functions, which is used for preprocessing and input and output values before taking a test snapshot. ([#1760](https://github.com/rstudio/shiny/pull/1760), [#1789](https://github.com/rstudio/shiny/pull/1789))
* The HTML generated by `renderTable()` no longer includes comments with the R version, xtable version, and timestamp. ([#1771](https://github.com/rstudio/shiny/pull/1771))
* Added a function `isRunning` to test whether a Shiny app is currently running. ([#1785](https://github.com/rstudio/shiny/pull/1785))
* Added a function `setSerializer`, which allows authors to specify a function for serializing the value of a custom input. ([#1791](https://github.com/rstudio/shiny/pull/1791))
### Bug fixes
* Fixed [#1546](https://github.com/rstudio/shiny/issues/1546): make it possible (without any hacks) to write arbitrary data into a module's `session$userData` (which is exactly the same environment as the parent's `session$userData`). To be clear, it allows something like `session$userData$x <- TRUE`, but not something like `session$userData <- TRUE` (that is not allowed in any context, whether you're in the main app, or in a module) ([#1732](https://github.com/rstudio/shiny/pull/1732)).
* Fixed [#1701](https://github.com/rstudio/shiny/issues/1701): There was a partial argument match in the `generateOptions` function. ([#1702](https://github.com/rstudio/shiny/pull/1702))
* Fixed [#1710](https://github.com/rstudio/shiny/issues/1710): `ReactiveVal` objects did not have separate dependents. ([#1712](https://github.com/rstudio/shiny/pull/1712))
* Fixed [#1438](https://github.com/rstudio/shiny/issues/1438): `unbindAll()` should not be called when inserting content with `insertUI()`. A previous fix ([#1449](https://github.com/rstudio/shiny/pull/1449)) did not work correctly. ([#1736](https://github.com/rstudio/shiny/pull/1736))
* Fixed [#1755](https://github.com/rstudio/shiny/issues/1755): dynamic htmlwidgets sent the path of the package on the server to the client. ([#1756](https://github.com/rstudio/shiny/pull/1756))
* Fixed [#1763](https://github.com/rstudio/shiny/issues/1763): Shiny's private random stream leaked out into the main random stream. ([#1768](https://github.com/rstudio/shiny/pull/1768))
* Fixed [#1680](https://github.com/rstudio/shiny/issues/1680): `options(warn=2)` was not respected when running an app. ([#1790](https://github.com/rstudio/shiny/pull/1790))
* Fixed [#1772](https://github.com/rstudio/shiny/issues/1772): ensure that `runApp()` respects the `shinyApp(onStart = function())` argument. ([#1770](https://github.com/rstudio/shiny/pull/1770))
* Fixed [#1474](https://github.com/rstudio/shiny/issues/1474): A `browser()` call in an observer could cause an error in the RStudio IDE on Windows. ([#1802](https://github.com/rstudio/shiny/pull/1802))
shiny 1.0.3
================
This is a hotfix release of Shiny. With previous versions of Shiny, when running an application on the newly-released version of R, 3.4.0, it would print a message: `Warning in body(fun) : argument is not a function`. This has no effect on the application, but because the message could be alarming to users, we are releasing a new version of Shiny that fixes this issue.
## Full changelog
### Bug fixes
* Fixed [#1672](https://github.com/rstudio/shiny/issues/1672): When an error occurred while uploading a file, the progress bar did not change colors. ([#1673](https://github.com/rstudio/shiny/pull/1673))
* Fixed [#1676](https://github.com/rstudio/shiny/issues/1676): On R 3.4.0, running a Shiny application gave a warning: `Warning in body(fun) : argument is not a function`. ([#1677](https://github.com/rstudio/shiny/pull/1677))
shiny 1.0.2
================

11
R/app.R
View File

@@ -71,7 +71,7 @@
#' }
#' @export
shinyApp <- function(ui=NULL, server=NULL, onStart=NULL, options=list(),
uiPattern="/", enableBookmarking = NULL) {
uiPattern="/", enableBookmarking=NULL) {
if (is.null(server)) {
stop("`server` missing from shinyApp")
}
@@ -212,7 +212,7 @@ shinyAppDir_serverR <- function(appDir, options=list()) {
if (file.exists(file.path.ci(appDir, "global.R")))
sourceUTF8(file.path.ci(appDir, "global.R"))
}
onEnd <- function() {
onStop <- function() {
setwd(oldwd)
monitorHandle()
monitorHandle <<- NULL
@@ -223,7 +223,7 @@ shinyAppDir_serverR <- function(appDir, options=list()) {
httpHandler = joinHandlers(c(uiHandler, wwwDir, fallbackWWWDir)),
serverFuncSource = serverFuncSource,
onStart = onStart,
onEnd = onEnd,
onStop = onStop,
options = options
),
class = "shiny.appobj"
@@ -317,8 +317,9 @@ shinyAppDir_appR <- function(fileName, appDir, options=list())
oldwd <<- getwd()
setwd(appDir)
monitorHandle <<- initAutoReloadMonitor(appDir)
if (!is.null(appObj()$onStart)) appObj()$onStart()
}
onEnd <- function() {
onStop <- function() {
setwd(oldwd)
monitorHandle()
monitorHandle <<- NULL
@@ -329,7 +330,7 @@ shinyAppDir_appR <- function(fileName, appDir, options=list())
httpHandler = joinHandlers(c(dynHttpHandler, wwwDir, fallbackWWWDir)),
serverFuncSource = dynServerFuncSource,
onStart = onStart,
onEnd = onEnd,
onStop = onStop,
options = options
),
class = "shiny.appobj"

View File

@@ -349,7 +349,7 @@ RestoreContext <- R6Class("RestoreContext",
mapply(names(vals), vals, SIMPLIFY = FALSE,
FUN = function(name, value) {
tryCatch(
jsonlite::fromJSON(value),
safeFromJSON(value),
error = function(e) {
stop("Failed to parse URL parameter \"", name, "\"")
}

View File

@@ -285,7 +285,8 @@ pageWithSidebar <- function(headerPanel,
#' example below).
#'
#' @seealso \code{\link{tabPanel}}, \code{\link{tabsetPanel}},
#' \code{\link{updateNavbarPage}}
#' \code{\link{updateNavbarPage}}, \code{\link{insertTab}},
#' \code{\link{showTab}}
#'
#' @examples
#' navbarPage("App Title",
@@ -393,10 +394,15 @@ navbarPage <- function(title,
)
}
#' @param menuName A name that identifies this \code{navbarMenu}. This
#' is needed if you want to insert/remove or show/hide an entire
#' \code{navbarMenu}.
#'
#' @rdname navbarPage
#' @export
navbarMenu <- function(title, ..., icon = NULL) {
navbarMenu <- function(title, ..., menuName = title, icon = NULL) {
structure(list(title = title,
menuName = menuName,
tabs = list(...),
iconClass = iconClass(icon)),
class = "shiny.navbarmenu")
@@ -502,6 +508,8 @@ mainPanel <- function(..., width = 8) {
#'
#' @param condition A JavaScript expression that will be evaluated repeatedly to
#' determine whether the panel should be displayed.
#' @param ns The \code{\link[=NS]{namespace}} object of the current module, if
#' any.
#' @param ... Elements to include in the panel.
#'
#' @note You are not recommended to use special JavaScript characters such as a
@@ -510,32 +518,55 @@ mainPanel <- function(..., width = 8) {
#' \code{input["foo.bar"]} instead of \code{input.foo.bar} to read the input
#' value.
#' @examples
#' sidebarPanel(
#' selectInput(
#' "plotType", "Plot Type",
#' c(Scatter = "scatter",
#' Histogram = "hist")),
#'
#' # Only show this panel if the plot type is a histogram
#' conditionalPanel(
#' condition = "input.plotType == 'hist'",
#' selectInput(
#' "breaks", "Breaks",
#' c("Sturges",
#' "Scott",
#' "Freedman-Diaconis",
#' "[Custom]" = "custom")),
#'
#' # Only show this panel if Custom is selected
#' ## Only run this example in interactive R sessions
#' if (interactive()) {
#' ui <- fluidPage(
#' sidebarPanel(
#' selectInput("plotType", "Plot Type",
#' c(Scatter = "scatter", Histogram = "hist")
#' ),
#' # Only show this panel if the plot type is a histogram
#' conditionalPanel(
#' condition = "input.breaks == 'custom'",
#' sliderInput("breakCount", "Break Count", min=1, max=1000, value=10)
#' condition = "input.plotType == 'hist'",
#' selectInput(
#' "breaks", "Breaks",
#' c("Sturges", "Scott", "Freedman-Diaconis", "[Custom]" = "custom")
#' ),
#' # Only show this panel if Custom is selected
#' conditionalPanel(
#' condition = "input.breaks == 'custom'",
#' sliderInput("breakCount", "Break Count", min = 1, max = 50, value = 10)
#' )
#' )
#' )
#' )
#' ),
#' mainPanel(
#' plotOutput("plot")
#' )
#' )
#'
#' server <- function(input, output) {
#' x <- rnorm(100)
#' y <- rnorm(100)
#'
#' output$plot <- renderPlot({
#' if (input$plotType == "scatter") {
#' plot(x, y)
#' } else {
#' breaks <- input$breaks
#' if (breaks == "custom") {
#' breaks <- input$breakCount
#' }
#'
#' hist(x, breaks = breaks)
#' }
#' })
#' }
#'
#' shinyApp(ui, server)
#' }
#' @export
conditionalPanel <- function(condition, ...) {
div('data-display-if'=condition, ...)
conditionalPanel <- function(condition, ..., ns = NS(NULL)) {
div(`data-display-if`=condition, `data-ns-prefix`=ns(""), ...)
}
#' Create a help text element
@@ -609,7 +640,8 @@ tabPanel <- function(title, ..., value = title, icon = NULL) {
#' Bootstrap 3.
#' @return A tabset that can be passed to \code{\link{mainPanel}}
#'
#' @seealso \code{\link{tabPanel}}, \code{\link{updateTabsetPanel}}
#' @seealso \code{\link{tabPanel}}, \code{\link{updateTabsetPanel}},
#' \code{\link{insertTab}}, \code{\link{showTab}}
#'
#' @examples
#' # Show a tabset that includes a plot, summary, and
@@ -676,7 +708,9 @@ tabsetPanel <- function(...,
#' supported. This is because version 0.11 switched to Bootstrap 3, which
#' doesn't support separators.
#'
#' @seealso \code{\link{tabPanel}}, \code{\link{updateNavlistPanel}}
#' @seealso \code{\link{tabPanel}}, \code{\link{updateNavlistPanel}},
#' \code{\link{insertTab}}, \code{\link{showTab}}
#'
#' @examples
#' fluidPage(
#'
@@ -726,189 +760,158 @@ navlistPanel <- function(...,
fixedRow(columns)
}
# Helpers to build tabsetPanels (& Co.) and their elements
markTabAsSelected <- function(x) {
attr(x, "selected") <- TRUE
x
}
buildTabset <- function(tabs, ulClass, textFilter = NULL,
id = NULL, selected = NULL) {
isTabSelected <- function(x) {
isTRUE(attr(x, "selected", exact = TRUE))
}
# This function proceeds in two phases. First, it scans over all the items
# to find and mark which tab should start selected. Then it actually builds
# the tab nav and tab content lists.
containsSelectedTab <- function(tabs) {
any(vapply(tabs, isTabSelected, logical(1)))
}
# Mark an item as selected
markSelected <- function(x) {
attr(x, "selected") <- TRUE
x
}
findAndMarkSelectedTab <- function(tabs, selected, foundSelected) {
tabs <- lapply(tabs, function(div) {
if (foundSelected || is.character(div)) {
# Strings are not selectable items
# Returns TRUE if an item is selected
isSelected <- function(x) {
isTRUE(attr(x, "selected", exact = TRUE))
}
# Returns TRUE if a list of tab items contains a selected tab, FALSE
# otherwise.
containsSelected <- function(tabs) {
any(vapply(tabs, isSelected, logical(1)))
}
# Take a pass over all tabs, and mark the selected tab.
foundSelectedItem <- FALSE
findAndMarkSelected <- function(tabs, selected) {
lapply(tabs, function(divTag) {
if (foundSelectedItem) {
# If we already found the selected tab, no need to keep looking
} else if (is.character(divTag)) {
# Strings don't represent selectable items
} else if (inherits(divTag, "shiny.navbarmenu")) {
# Navbar menu
divTag$tabs <- findAndMarkSelected(divTag$tabs, selected)
} else if (inherits(div, "shiny.navbarmenu")) {
# Recur for navbarMenus
res <- findAndMarkSelectedTab(div$tabs, selected, foundSelected)
div$tabs <- res$tabs
foundSelected <<- res$foundSelected
} else {
# Base case: regular tab item. If the `selected` argument is
# provided, check for a match in the existing tabs; else,
# mark first available item as selected
if (is.null(selected)) {
foundSelected <<- TRUE
div <- markTabAsSelected(div)
} else {
# Regular tab item
if (is.null(selected)) {
# If selected tab isn't specified, mark first available item
# as selected.
foundSelectedItem <<- TRUE
divTag <- markSelected(divTag)
} else {
# If selected tab is specified, check for a match
tabValue <- divTag$attribs$`data-value` %OR% divTag$attribs$title
if (identical(selected, tabValue)) {
foundSelectedItem <<- TRUE
divTag <- markSelected(divTag)
}
tabValue <- div$attribs$`data-value` %OR% div$attribs$title
if (identical(selected, tabValue)) {
foundSelected <<- TRUE
div <- markTabAsSelected(div)
}
}
}
return(div)
})
return(list(tabs = tabs, foundSelected = foundSelected))
}
return(divTag)
})
}
# Append an optional icon to an aTag
appendIcon <- function(aTag, iconClass) {
if (!is.null(iconClass)) {
# Returns the icon object (or NULL if none), provided either a
# tabPanel, OR the icon class
getIcon <- function(tab = NULL, iconClass = NULL) {
if (!is.null(tab)) iconClass <- tab$attribs$`data-icon-class`
if (!is.null(iconClass)) {
if (grepl("fa-", iconClass, fixed = TRUE)) {
# for font-awesome we specify fixed-width
if (grepl("fa-", iconClass, fixed = TRUE))
iconClass <- paste(iconClass, "fa-fw")
aTag <- tagAppendChild(aTag, icon(name = NULL, class = iconClass))
iconClass <- paste(iconClass, "fa-fw")
}
aTag
icon(name = NULL, class = iconClass)
} else NULL
}
# Text filter for navbarMenu's (plain text) separators
navbarMenuTextFilter <- function(text) {
if (grepl("^\\-+$", text)) tags$li(class = "divider")
else tags$li(class = "dropdown-header", text)
}
# This function is called internally by navbarPage, tabsetPanel
# and navlistPanel
buildTabset <- function(tabs, ulClass, textFilter = NULL, id = NULL,
selected = NULL, foundSelected = FALSE) {
res <- findAndMarkSelectedTab(tabs, selected, foundSelected)
tabs <- res$tabs
foundSelected <- res$foundSelected
# add input class if we have an id
if (!is.null(id)) ulClass <- paste(ulClass, "shiny-tab-input")
if (anyNamed(tabs)) {
nms <- names(tabs)
nms <- nms[nzchar(nms)]
stop("Tabs should all be unnamed arguments, but some are named: ",
paste(nms, collapse = ", "))
}
# Build the tabset
build <- function(tabs, ulClass, textFilter = NULL, id = NULL) {
# add tab input sentinel class if we have an id
if (!is.null(id))
ulClass <- paste(ulClass, "shiny-tab-input")
tabsetId <- p_randomInt(1000, 10000)
tabs <- lapply(seq_len(length(tabs)), buildTabItem,
tabsetId = tabsetId, foundSelected = foundSelected,
tabs = tabs, textFilter = textFilter)
if (anyNamed(tabs)) {
nms <- names(tabs)
nms <- nms[nzchar(nms)]
stop("Tabs should all be unnamed arguments, but some are named: ",
paste(nms, collapse = ", "))
tabNavList <- tags$ul(class = ulClass, id = id,
`data-tabsetid` = tabsetId, lapply(tabs, "[[", 1))
tabContent <- tags$div(class = "tab-content",
`data-tabsetid` = tabsetId, lapply(tabs, "[[", 2))
list(navList = tabNavList, content = tabContent)
}
# Builds tabPanel/navbarMenu items (this function used to be
# declared inside the buildTabset() function and it's been
# refactored for clarity and reusability). Called internally
# by buildTabset.
buildTabItem <- function(index, tabsetId, foundSelected, tabs = NULL,
divTag = NULL, textFilter = NULL) {
divTag <- if (!is.null(divTag)) divTag else tabs[[index]]
if (is.character(divTag) && !is.null(textFilter)) {
# text item: pass it to the textFilter if it exists
liTag <- textFilter(divTag)
divTag <- NULL
} else if (inherits(divTag, "shiny.navbarmenu")) {
# navbarMenu item: build the child tabset
tabset <- buildTabset(divTag$tabs, "dropdown-menu",
navbarMenuTextFilter, foundSelected = foundSelected)
# if this navbarMenu contains a selected item, mark it active
containsSelected <- containsSelectedTab(divTag$tabs)
liTag <- tags$li(
class = paste0("dropdown", if (containsSelected) " active"),
tags$a(href = "#",
class = "dropdown-toggle", `data-toggle` = "dropdown",
`data-value` = divTag$menuName,
divTag$title, tags$b(class = "caret"),
getIcon(iconClass = divTag$iconClass)
),
tabset$navList # inner tabPanels items
)
# list of tab content divs from the child tabset
divTag <- tabset$content$children
} else {
# tabPanel item: create the tab's liTag and divTag
tabId <- paste("tab", tabsetId, index, sep = "-")
liTag <- tags$li(
tags$a(
href = paste("#", tabId, sep = ""),
`data-toggle` = "tab",
`data-value` = divTag$attribs$`data-value`,
divTag$attribs$title,
getIcon(iconClass = divTag$attribs$`data-icon-class`)
)
)
# if this tabPanel is selected item, mark it active
if (isTabSelected(divTag)) {
liTag$attribs$class <- "active"
divTag$attribs$class <- "tab-pane active"
}
tabNavList <- tags$ul(class = ulClass, id = id)
tabContent <- tags$div(class = "tab-content")
tabsetId <- p_randomInt(1000, 10000)
tabId <- 1
buildItem <- function(divTag) {
# check for text; pass it to the textFilter or skip it if there is none
if (is.character(divTag)) {
if (!is.null(textFilter)) {
tabNavList <<- tagAppendChild(tabNavList, textFilter(divTag))
}
} else if (inherits(divTag, "shiny.navbarmenu")) {
# create the a tag
aTag <- tags$a(href="#",
class="dropdown-toggle",
`data-toggle`="dropdown")
# add optional icon
aTag <- appendIcon(aTag, divTag$iconClass)
# add the title and caret
aTag <- tagAppendChild(aTag, divTag$title)
aTag <- tagAppendChild(aTag, tags$b(class="caret"))
# build the dropdown list element
liTag <- tags$li(class = "dropdown", aTag)
# text filter for separators
textFilter <- function(text) {
if (grepl("^\\-+$", text))
tags$li(class="divider")
else
tags$li(class="dropdown-header", text)
}
# build the child tabset
tabset <- build(divTag$tabs, "dropdown-menu", textFilter)
liTag <- tagAppendChild(liTag, tabset$navList)
# If this navbar menu contains a selected item, mark it as active
if (containsSelected(divTag$tabs)) {
liTag$attribs$class <- paste(liTag$attribs$class, "active")
}
tabNavList <<- tagAppendChild(tabNavList, liTag)
# don't add a standard tab content div, rather add the list of tab
# content divs that are contained within the tabset
tabContent <<- tagAppendChildren(tabContent,
list = tabset$content$children)
} else {
# Standard navbar item
# compute id and assign it to the div
thisId <- paste("tab", tabsetId, tabId, sep="-")
divTag$attribs$id <- thisId
tabId <<- tabId + 1
tabValue <- divTag$attribs$`data-value`
# create the a tag
aTag <- tags$a(href=paste("#", thisId, sep=""),
`data-toggle` = "tab",
`data-value` = tabValue)
# append optional icon
aTag <- appendIcon(aTag, divTag$attribs$`data-icon-class`)
# add the title
aTag <- tagAppendChild(aTag, divTag$attribs$title)
# create the li tag
liTag <- tags$li(aTag)
# If selected, set appropriate classes on li tag and div tag.
if (isSelected(divTag)) {
liTag$attribs$class <- "active"
divTag$attribs$class <- "tab-pane active"
}
divTag$attribs$title <- NULL
# append the elements to our lists
tabNavList <<- tagAppendChild(tabNavList, liTag)
tabContent <<- tagAppendChild(tabContent, divTag)
}
}
lapply(tabs, buildItem)
list(navList = tabNavList, content = tabContent)
divTag$attribs$id <- tabId
divTag$attribs$title <- NULL
}
# Finally, actually invoke the functions to do the processing.
tabs <- findAndMarkSelected(tabs, selected)
build(tabs, ulClass, textFilter, id)
return(list(liTag = liTag, divTag = divTag))
}

View File

@@ -20,6 +20,18 @@
# form upload, i.e. traditional HTTP POST-based file upload) doesn't work with
# the websockets package's HTTP server at the moment.
# @description Returns a file's extension, with a leading dot, if one can be
# found. A valid extension contains only alphanumeric characters. If there is
# no extension, or if it contains non-alphanumeric characters, an empty
# string is returned.
# @param x character vector giving file paths.
# @return The extension of \code{x}, with a leading dot, if one was found.
# Otherwise, an empty character vector.
maybeGetExtension <- function(x) {
ext <- tools::file_ext(x)
ifelse(ext == "", ext, paste0(".", ext))
}
FileUploadOperation <- R6Class(
'FileUploadOperation',
portable = FALSE,
@@ -52,8 +64,9 @@ FileUploadOperation <- R6Class(
.currentFileInfo <<- file
.pendingFileInfos <<- tail(.pendingFileInfos, -1)
filename <- file.path(.dir, as.character(length(.files$name)))
row <- data.frame(name=file$name, size=file$size, type=file$type,
fileBasename <- basename(.currentFileInfo$name)
filename <- file.path(.dir, paste0(as.character(length(.files$name)), maybeGetExtension(fileBasename)))
row <- data.frame(name=fileBasename, size=file$size, type=file$type,
datapath=filename, stringsAsFactors=FALSE)
if (length(.files$name) == 0)

View File

@@ -5,7 +5,7 @@
# R's lazy-loading package scheme causes the private seed to be cached in the
# package itself, making our PRNG completely deterministic. This line resets
# the private seed during load.
withPrivateSeed(reinitializeSeed())
withPrivateSeed(set.seed(NULL))
}
.onAttach <- function(libname, pkgname) {

View File

@@ -6,13 +6,18 @@
#' URL.
#'
#' @param dependency A single HTML dependency object, created using
#' \code{\link[htmltools]{htmlDependency}}. If the \code{src} value is named, then
#' \code{href} and/or \code{file} names must be present.
#' \code{\link[htmltools]{htmlDependency}}. If the \code{src} value is named,
#' then \code{href} and/or \code{file} names must be present.
#' @param scrubFile If TRUE (the default), remove \code{src$file} for the
#' dependency. This prevents the local file path from being sent to the client
#' when dynamic web dependencies are used. If FALSE, don't remove
#' \code{src$file}. Setting it to FALSE should be needed only in very unusual
#' cases.
#'
#' @return A single HTML dependency object that has an \code{href}-named element
#' in its \code{src}.
#' @export
createWebDependency <- function(dependency) {
createWebDependency <- function(dependency, scrubFile = TRUE) {
if (is.null(dependency))
return(NULL)
@@ -25,6 +30,10 @@ createWebDependency <- function(dependency) {
dependency$src$href <- prefix
}
# Don't leak local file path to client
if (scrubFile)
dependency$src$file <- NULL
return(dependency)
}

View File

@@ -8,7 +8,8 @@
#' @param choices List of values to show checkboxes for. If elements of the list
#' are named then that name rather than the value is displayed to the user. If
#' this argument is provided, then \code{choiceNames} and \code{choiceValues}
#' must not be provided, and vice-versa.
#' must not be provided, and vice-versa. The values should be strings; other
#' types (such as logicals and numbers) will be coerced to strings.
#' @param selected The values that should be initially selected, if any.
#' @param inline If \code{TRUE}, render the choices inline (i.e. horizontally)
#' @param choiceNames,choiceValues List of names and values, respectively,

View File

@@ -3,30 +3,30 @@
#' Create a set of radio buttons used to select an item from a list.
#'
#' If you need to represent a "None selected" state, it's possible to default
#' the radio buttons to have no options selected by using
#' \code{selected = character(0)}. However, this is not recommended, as it gives
#' the user no way to return to that state once they've made a selection.
#' Instead, consider having the first of your choices be \code{c("None selected"
#' = "")}.
#' the radio buttons to have no options selected by using \code{selected =
#' character(0)}. However, this is not recommended, as it gives the user no way
#' to return to that state once they've made a selection. Instead, consider
#' having the first of your choices be \code{c("None selected" = "")}.
#'
#' @inheritParams textInput
#' @param choices List of values to select from (if elements of the list are
#' named then that name rather than the value is displayed to the user). If
#' this argument is provided, then \code{choiceNames} and \code{choiceValues}
#' must not be provided, and vice-versa.
#' @param selected The initially selected value (if not specified then
#' defaults to the first value)
#' must not be provided, and vice-versa. The values should be strings; other
#' types (such as logicals and numbers) will be coerced to strings.
#' @param selected The initially selected value (if not specified then defaults
#' to the first value)
#' @param inline If \code{TRUE}, render the choices inline (i.e. horizontally)
#' @return A set of radio buttons that can be added to a UI definition.
#' @param choiceNames,choiceValues List of names and values, respectively,
#' that are displayed to the user in the app and correspond to the each
#' choice (for this reason, \code{choiceNames} and \code{choiceValues}
#' must have the same length). If either of these arguments is
#' provided, then the other \emph{must} be provided and \code{choices}
#' \emph{must not} be provided. The advantage of using both of these over
#' a named list for \code{choices} is that \code{choiceNames} allows any
#' type of UI object to be passed through (tag objects, icons, HTML code,
#' ...), instead of just simple text. See Examples.
#' @param choiceNames,choiceValues List of names and values, respectively, that
#' are displayed to the user in the app and correspond to the each choice (for
#' this reason, \code{choiceNames} and \code{choiceValues} must have the same
#' length). If either of these arguments is provided, then the other
#' \emph{must} be provided and \code{choices} \emph{must not} be provided. The
#' advantage of using both of these over a named list for \code{choices} is
#' that \code{choiceNames} allows any type of UI object to be passed through
#' (tag objects, icons, HTML code, ...), instead of just simple text. See
#' Examples.
#'
#' @family input elements
#' @seealso \code{\link{updateRadioButtons}}

View File

@@ -73,10 +73,10 @@ generateOptions <- function(inputId, selected, inline, type = 'checkbox',
# checkbox-inline.
if (inline) {
tags$label(class = paste0(type, "-inline"), inputTag,
tags$span(pd$html, pd$dep))
tags$span(pd$html, pd$deps))
} else {
tags$div(class = type, tags$label(inputTag,
tags$span(pd$html, pd$dep)))
tags$span(pd$html, pd$deps)))
}
},
SIMPLIFY = FALSE, USE.NAMES = FALSE

325
R/insert-tab.R Normal file
View File

@@ -0,0 +1,325 @@
#' Dynamically insert/remove a tabPanel
#'
#' Dynamically insert or remove a \code{\link{tabPanel}} (or a
#' \code{\link{navbarMenu}}) from an existing \code{\link{tabsetPanel}},
#' \code{\link{navlistPanel}} or \code{\link{navbarPage}}.
#'
#' When you want to insert a new tab before or after an existing tab, you
#' should use \code{insertTab}. When you want to prepend a tab (i.e. add a
#' tab to the beginning of the \code{tabsetPanel}), use \code{prependTab}.
#' When you want to append a tab (i.e. add a tab to the end of the
#' \code{tabsetPanel}), use \code{appendTab}.
#'
#' For \code{navbarPage}, you can insert/remove conventional
#' \code{tabPanel}s (whether at the top level or nested inside a
#' \code{navbarMenu}), as well as an entire \code{\link{navbarMenu}}.
#' For the latter case, \code{target} should be the \code{menuName} that
#' you gave your \code{navbarMenu} when you first created it (by default,
#' this is equal to the value of the \code{title} argument).
#'
#' @param inputId The \code{id} of the \code{tabsetPanel} (or
#' \code{navlistPanel} or \code{navbarPage}) into which \code{tab} will
#' be inserted/removed.
#'
#' @param tab The item to be added (must be created with \code{tabPanel},
#' or with \code{navbarMenu}).
#'
#' @param target If inserting: the \code{value} of an existing
#' \code{tabPanel}, next to which \code{tab} will be added.
#' If removing: the \code{value} of the \code{tabPanel} that
#' you want to remove. See Details if you want to insert next to/remove
#' an entire \code{navbarMenu} instead.
#'
#' @param position Should \code{tab} be added before or after the
#' \code{target} tab?
#'
#' @param select Should \code{tab} be selected upon being inserted?
#'
#' @param session The shiny session within which to call this function.
#'
#' @seealso \code{\link{showTab}}
#'
#' @examples
#' ## Only run this example in interactive R sessions
#' if (interactive()) {
#'
#' # example app for inserting/removing a tab
#' ui <- fluidPage(
#' sidebarLayout(
#' sidebarPanel(
#' actionButton("add", "Add 'Dynamic' tab"),
#' actionButton("remove", "Remove 'Foo' tab")
#' ),
#' mainPanel(
#' tabsetPanel(id = "tabs",
#' tabPanel("Hello", "This is the hello tab"),
#' tabPanel("Foo", "This is the foo tab"),
#' tabPanel("Bar", "This is the bar tab")
#' )
#' )
#' )
#' )
#' server <- function(input, output, session) {
#' observeEvent(input$add, {
#' insertTab(inputId = "tabs",
#' tabPanel("Dynamic", "This a dynamically-added tab"),
#' target = "Bar"
#' )
#' })
#' observeEvent(input$remove, {
#' removeTab(inputId = "tabs", target = "Foo")
#' })
#' }
#'
#' shinyApp(ui, server)
#'
#'
#' # example app for prepending/appending a navbarMenu
#' ui <- navbarPage("Navbar page", id = "tabs",
#' tabPanel("Home",
#' actionButton("prepend", "Prepend a navbarMenu"),
#' actionButton("append", "Append a navbarMenu")
#' )
#' )
#' server <- function(input, output, session) {
#' observeEvent(input$prepend, {
#' id <- paste0("Dropdown", input$prepend, "p")
#' prependTab(inputId = "tabs",
#' navbarMenu(id,
#' tabPanel("Drop1", paste("Drop1 page from", id)),
#' tabPanel("Drop2", paste("Drop2 page from", id)),
#' "------",
#' "Header",
#' tabPanel("Drop3", paste("Drop3 page from", id))
#' )
#' )
#' })
#' observeEvent(input$append, {
#' id <- paste0("Dropdown", input$append, "a")
#' appendTab(inputId = "tabs",
#' navbarMenu(id,
#' tabPanel("Drop1", paste("Drop1 page from", id)),
#' tabPanel("Drop2", paste("Drop2 page from", id)),
#' "------",
#' "Header",
#' tabPanel("Drop3", paste("Drop3 page from", id))
#' )
#' )
#' })
#' }
#'
#' shinyApp(ui, server)
#'
#' }
#' @export
insertTab <- function(inputId, tab, target,
position = c("before", "after"), select = FALSE,
session = getDefaultReactiveDomain()) {
force(target)
force(select)
position <- match.arg(position)
inputId <- session$ns(inputId)
# Barbara -- August 2017
# Note: until now, the number of tabs in a tabsetPanel (or navbarPage
# or navlistPanel) was always fixed. So, an easy way to give an id to
# a tab was simply incrementing a counter. (Just like it was easy to
# give a random 4-digit number to identify the tabsetPanel). Since we
# can only know this in the client side, we'll just pass `id` and
# `tsid` (TabSetID) as dummy values that will be fixed in the JS code.
item <- buildTabItem("id", "tsid", TRUE, divTag = tab,
textFilter = if (is.character(tab)) navbarMenuTextFilter else NULL)
callback <- function() {
session$sendInsertTab(
inputId = inputId,
liTag = processDeps(item$liTag, session),
divTag = processDeps(item$divTag, session),
menuName = NULL,
target = target,
position = position,
select = select)
}
session$onFlush(callback, once = TRUE)
}
#' @param menuName This argument should only be used when you want to
#' prepend (or append) \code{tab} to the beginning (or end) of an
#' existing \code{\link{navbarMenu}} (which must itself be part of
#' an existing \code{\link{navbarPage}}). In this case, this argument
#' should be the \code{menuName} that you gave your \code{navbarMenu}
#' when you first created it (by default, this is equal to the value
#' of the \code{title} argument). Note that you still need to set the
#' \code{inputId} argument to whatever the \code{id} of the parent
#' \code{navbarPage} is. If \code{menuName} is left as \code{NULL},
#' \code{tab} will be prepended (or appended) to whatever
#' \code{inputId} is.
#'
#' @rdname insertTab
#' @export
prependTab <- function(inputId, tab, select = FALSE, menuName = NULL,
session = getDefaultReactiveDomain()) {
force(select)
force(menuName)
inputId <- session$ns(inputId)
item <- buildTabItem("id", "tsid", TRUE, divTag = tab,
textFilter = if (is.character(tab)) navbarMenuTextFilter else NULL)
callback <- function() {
session$sendInsertTab(
inputId = inputId,
liTag = processDeps(item$liTag, session),
divTag = processDeps(item$divTag, session),
menuName = menuName,
target = NULL,
position = "after",
select = select)
}
session$onFlush(callback, once = TRUE)
}
#' @rdname insertTab
#' @export
appendTab <- function(inputId, tab, select = FALSE, menuName = NULL,
session = getDefaultReactiveDomain()) {
force(select)
force(menuName)
inputId <- session$ns(inputId)
item <- buildTabItem("id", "tsid", TRUE, divTag = tab,
textFilter = if (is.character(tab)) navbarMenuTextFilter else NULL)
callback <- function() {
session$sendInsertTab(
inputId = inputId,
liTag = processDeps(item$liTag, session),
divTag = processDeps(item$divTag, session),
menuName = menuName,
target = NULL,
position = "before",
select = select)
}
session$onFlush(callback, once = TRUE)
}
#' @rdname insertTab
#' @export
removeTab <- function(inputId, target,
session = getDefaultReactiveDomain()) {
force(target)
inputId <- session$ns(inputId)
callback <- function() {
session$sendRemoveTab(
inputId = inputId,
target = target)
}
session$onFlush(callback, once = TRUE)
}
#' Dynamically hide/show a tabPanel
#'
#' Dynamically hide or show a \code{\link{tabPanel}} (or a
#' \code{\link{navbarMenu}})from an existing \code{\link{tabsetPanel}},
#' \code{\link{navlistPanel}} or \code{\link{navbarPage}}.
#'
#' For \code{navbarPage}, you can hide/show conventional
#' \code{tabPanel}s (whether at the top level or nested inside a
#' \code{navbarMenu}), as well as an entire \code{\link{navbarMenu}}.
#' For the latter case, \code{target} should be the \code{menuName} that
#' you gave your \code{navbarMenu} when you first created it (by default,
#' this is equal to the value of the \code{title} argument).
#'
#' @param inputId The \code{id} of the \code{tabsetPanel} (or
#' \code{navlistPanel} or \code{navbarPage}) in which to find
#' \code{target}.
#'
#' @param target The \code{value} of the \code{tabPanel} to be
#' hidden/shown. See Details if you want to hide/show an entire
#' \code{navbarMenu} instead.
#'
#' @param select Should \code{target} be selected upon being shown?
#'
#' @param session The shiny session within which to call this function.
#'
#' @seealso \code{\link{insertTab}}
#'
#' @examples
#' ## Only run this example in interactive R sessions
#' if (interactive()) {
#'
#' ui <- navbarPage("Navbar page", id = "tabs",
#' tabPanel("Home",
#' actionButton("hideTab", "Hide 'Foo' tab"),
#' actionButton("showTab", "Show 'Foo' tab"),
#' actionButton("hideMenu", "Hide 'More' navbarMenu"),
#' actionButton("showMenu", "Show 'More' navbarMenu")
#' ),
#' tabPanel("Foo", "This is the foo tab"),
#' tabPanel("Bar", "This is the bar tab"),
#' navbarMenu("More",
#' tabPanel("Table", "Table page"),
#' tabPanel("About", "About page"),
#' "------",
#' "Even more!",
#' tabPanel("Email", "Email page")
#' )
#' )
#'
#' server <- function(input, output, session) {
#' observeEvent(input$hideTab, {
#' hideTab(inputId = "tabs", target = "Foo")
#' })
#'
#' observeEvent(input$showTab, {
#' showTab(inputId = "tabs", target = "Foo")
#' })
#'
#' observeEvent(input$hideMenu, {
#' hideTab(inputId = "tabs", target = "More")
#' })
#'
#' observeEvent(input$showMenu, {
#' showTab(inputId = "tabs", target = "More")
#' })
#' }
#'
#' shinyApp(ui, server)
#' }
#'
#' @export
showTab <- function(inputId, target, select = FALSE,
session = getDefaultReactiveDomain()) {
force(target)
if (select) updateTabsetPanel(session, inputId, selected = target)
inputId <- session$ns(inputId)
callback <- function() {
session$sendChangeTabVisibility(
inputId = inputId,
target = target,
type = "show"
)
}
session$onFlush(callback, once = TRUE)
}
#' @rdname showTab
#' @export
hideTab <- function(inputId, target,
session = getDefaultReactiveDomain()) {
force(target)
inputId <- session$ns(inputId)
callback <- function() {
session$sendChangeTabVisibility(
inputId = inputId,
target = target,
type = "hide"
)
}
session$onFlush(callback, once = TRUE)
}

View File

@@ -360,7 +360,9 @@ HandlerManager <- R6Class("HandlerManager",
response <- filter(req, response)
if (head_request) {
headers$`Content-Length` <- nchar(response$content, type = "bytes")
headers$`Content-Length` <- getResponseContentLength(response, deleteOwnedContent = TRUE)
return(list(
status = response$status,
body = "",
@@ -383,6 +385,35 @@ HandlerManager <- R6Class("HandlerManager",
)
)
# Safely get the Content-Length of a Rook response, or NULL if the length cannot
# be determined for whatever reason (probably malformed response$content).
# If deleteOwnedContent is TRUE, then the function should delete response
# content that is of the form list(file=..., owned=TRUE).
getResponseContentLength <- function(response, deleteOwnedContent) {
force(deleteOwnedContent)
result <- if (is.character(response$content) && length(response$content) == 1) {
nchar(response$content, type = "bytes")
} else if (is.raw(response$content)) {
length(response$content)
} else if (is.list(response$content) && !is.null(response$content$file)) {
if (deleteOwnedContent && isTRUE(response$content$owned)) {
on.exit(unlink(response$content$file, recursive = FALSE, force = FALSE), add = TRUE)
}
file.info(response$content$file)$size
} else {
warning("HEAD request for unexpected content class ", class(response$content)[[1]])
NULL
}
if (is.na(result)) {
# Mostly for missing file case
return(NULL)
} else {
return(result)
}
}
#
# ## Next steps
#

View File

@@ -26,6 +26,11 @@ createSessionProxy <- function(parentSession, ...) {
#' @export
`$<-.session_proxy` <- function(x, name, value) {
# this line allows users to write into session$userData
# (e.g. it allows something like `session$userData$x <- TRUE`,
# but not `session$userData <- TRUE`) from within a module
# without any hacks (see PR #1732)
if (identical(x[[name]], value)) return(x)
stop("Attempted to assign value on session proxy.")
}

View File

@@ -47,12 +47,13 @@ ReactiveVal <- R6Class(
value = NULL,
label = NULL,
frozen = FALSE,
dependents = Dependents$new()
dependents = NULL
),
public = list(
initialize = function(value, label = NULL) {
private$value <- value
private$label <- label
private$dependents <- Dependents$new()
.graphValueChange(private$label, value)
},
get = function() {
@@ -1541,9 +1542,22 @@ coerceToFunc <- function(x) {
#' @seealso \code{\link{reactiveFileReader}}
#'
#' @examples
#' # Assume the existence of readTimestamp and readValue functions
#' function(input, output, session) {
#' data <- reactivePoll(1000, session, readTimestamp, readValue)
#'
#' data <- reactivePoll(1000, session,
#' # This function returns the time that log_file was last modified
#' checkFunc = function() {
#' if (file.exists(log_file))
#' file.info(log_file)$mtime[1]
#' else
#' ""
#' },
#' # This function returns the content of log_file
#' valueFunc = function() {
#' read.csv(log_file)
#' }
#' )
#'
#' output$dataTable <- renderTable({
#' data()
#' })

View File

@@ -470,11 +470,13 @@ find_panel_info <- function(b) {
# This is for ggplot2>2.2.1, after an API was introduced for extracting
# information about the plot object.
find_panel_info_api <- function(b) {
# Workaround for check NOTE, until ggplot2 >2.2.1 is released
colon_colon <- `::`
# Given a built ggplot object, return x and y domains (data space coords) for
# each panel.
layout <- ggplot2::summarise_layout(b)
coord <- ggplot2::summarise_coord(b)
layers <- ggplot2::summarise_layers(b)
layout <- colon_colon("ggplot2", "summarise_layout")(b)
coord <- colon_colon("ggplot2", "summarise_coord")(b)
layers <- colon_colon("ggplot2", "summarise_layers")(b)
# Given x and y scale objects and a coord object, return a list that has
# the bases of log transformations for x and y, or NULL if it's not a

View File

@@ -176,7 +176,12 @@ renderTable <- function(expr, striped = FALSE, hover = FALSE,
else ""
}, " ",
"class = '", htmlEscape(classNames, TRUE), "' ",
"style = 'width:", validateCssUnit(width), ";'"))
"style = 'width:", validateCssUnit(width), ";'"),
comment = {
if ("comment" %in% names(dots)) dots$comment
else FALSE
}
)
print_args <- c(print_args, non_xtable_args)
print_args <- print_args[unique(names(print_args))]

View File

@@ -1,3 +1,22 @@
#' Add a function for serializing an input before bookmarking application state
#'
#' @param inputId Name of the input value.
#' @param fun A function that takes the input value and returns a modified
#' value. The returned value will be used for the test snapshot.
#' @param session A Shiny session object.
#'
#' @keywords internal
#' @export
setSerializer <- function(inputId, fun, session = getDefaultReactiveDomain()) {
if (is.null(session)) {
stop("setSerializer() needs a session object.")
}
input_impl <- .subset2(session$input, "impl")
input_impl$setMeta(inputId, "shiny.serializer", fun)
}
# For most types of values, simply return the value unchanged.
serializerDefault <- function(value, stateDir) {
value
@@ -58,12 +77,12 @@ serializeReactiveValues <- function(values, exclude, stateDir = NULL) {
# Get the serializer function for this input value. If none specified, use
# the default.
serializer <- impl$getMeta(name, "shiny.serializer")
if (is.null(serializer))
serializer <- serializerDefault
serializer_fun <- impl$getMeta(name, "shiny.serializer")
if (is.null(serializer_fun))
serializer_fun <- serializerDefault
# Apply serializer function.
serializer(val, stateDir)
serializer_fun(val, stateDir)
})
# Filter out any values that were marked as unserializable.

View File

@@ -148,7 +148,7 @@ registerInputHandler("shiny.number", function(val, ...){
registerInputHandler("shiny.password", function(val, shinysession, name) {
# Mark passwords as not serializable
.subset2(shinysession$input, "impl")$setMeta(name, "shiny.serializer", serializerUnserializable)
setSerializer(name, serializerUnserializable)
val
})
@@ -214,7 +214,9 @@ registerInputHandler("shiny.file", function(val, shinysession, name) {
# Need to mark this input value with the correct serializer. When a file is
# uploaded the usual way (instead of being restored), this occurs in
# session$`@uploadEnd`.
.subset2(shinysession$input, "impl")$setMeta(name, "shiny.serializer", serializerFileInput)
setSerializer(name, serializerFileInput)
snapshotPreprocessInput(name, snapshotPreprocessorFileInput)
val
})

View File

@@ -155,7 +155,7 @@ decodeMessage <- function(data) {
# Treat message as UTF-8
charData <- rawToChar(data)
Encoding(charData) <- 'UTF-8'
return(jsonlite::fromJSON(charData, simplifyVector=FALSE))
return(safeFromJSON(charData, simplifyVector=FALSE))
}
i <- 5
@@ -226,7 +226,7 @@ createAppHandlers <- function(httpHandlers, serverFuncSource) {
message("RECV ", rawToChar(msg))
}
if (identical(charToRaw("\003\xe9"), msg))
if (isEmptyMessage(msg))
return()
msg <- decodeMessage(msg)
@@ -370,9 +370,9 @@ argsForServerFunc <- function(serverFunc, session) {
}
getEffectiveBody <- function(func) {
# Note: NULL values are OK. isS4(NULL) returns FALSE, body(NULL)
# returns NULL.
if (isS4(func) && class(func) == "functionWithTrace")
if (is.null(func))
NULL
else if (isS4(func) && class(func) == "functionWithTrace")
body(func@original)
else
body(func)
@@ -465,6 +465,17 @@ serviceApp <- function() {
# Global flag that's TRUE whenever we're inside of the scope of a call to runApp
.globals$running <- FALSE
#' Check whether a Shiny application is running
#'
#' This function tests whether a Shiny application is currently running.
#'
#' @return \code{TRUE} if a Shiny application is currently running. Otherwise,
#' \code{FALSE}.
#' @export
isRunning <- function() {
.globals$running
}
#' Run Shiny Application
#'
#' Runs a Shiny application. This function normally does not return; interrupt R
@@ -577,7 +588,11 @@ runApp <- function(appDir=getwd(),
# Make warnings print immediately
# Set pool.scheduler to support pool package
ops <- options(warn = 1, pool.scheduler = scheduleTask)
ops <- options(
# Raise warn level to 1, but don't lower it
warn = max(1, getOption("warn", default = 1)),
pool.scheduler = scheduleTask
)
on.exit(options(ops), add = TRUE)
appParts <- as.shiny.appobj(appDir)
@@ -716,7 +731,8 @@ runApp <- function(appDir=getwd(),
port <- p_randomInt(3000, 8000)
# Reject ports in this range that are considered unsafe by Chrome
# http://superuser.com/questions/188058/which-ports-are-considered-unsafe-on-chrome
if (!port %in% c(3659, 4045, 6000, 6665:6669)) {
# https://github.com/rstudio/shiny/issues/1784
if (!port %in% c(3659, 4045, 6000, 6665:6669, 6697)) {
break
}
}
@@ -732,15 +748,22 @@ runApp <- function(appDir=getwd(),
}
}
# Invoke user-defined onStop callbacks, before the application's internal
# onStop callbacks.
on.exit({
.globals$onStopCallbacks$invoke()
.globals$onStopCallbacks <- Callbacks$new()
}, add = TRUE)
# Extract appOptions (which is a list) and store them as shinyOptions, for
# this app. (This is the only place we have to store settings that are
# accessible both the UI and server portion of the app.)
unconsumeAppOptions(appParts$appOptions)
# Set up the onEnd before we call onStart, so that it gets called even if an
# Set up the onStop before we call onStart, so that it gets called even if an
# error happens in onStart.
if (!is.null(appParts$onEnd))
on.exit(appParts$onEnd(), add = TRUE)
if (!is.null(appParts$onStop))
on.exit(appParts$onStop(), add = TRUE)
if (!is.null(appParts$onStart))
appParts$onStart()
@@ -1022,3 +1045,9 @@ browserViewer <- function(browser = getOption("browser")) {
inShinyServer <- function() {
nzchar(Sys.getenv('SHINY_PORT'))
}
# This check was moved out of the main function body because of an issue with
# the RStudio debugger. (#1474)
isEmptyMessage <- function(msg) {
identical(charToRaw("\003\xe9"), msg)
}

206
R/shiny.R
View File

@@ -5,7 +5,7 @@ NULL
#'
#' Shiny makes it incredibly easy to build interactive web applications with R.
#' Automatic "reactive" binding between inputs and outputs and extensive
#' pre-built widgets make it possible to build beautiful, responsive, and
#' prebuilt widgets make it possible to build beautiful, responsive, and
#' powerful applications with minimal effort.
#'
#' The Shiny tutorial at \url{http://shiny.rstudio.com/tutorial/} explains
@@ -142,6 +142,15 @@ toJSON <- function(x, ..., dataframe = "columns", null = "null", na = "null",
keep_vec_names = keep_vec_names, json_verbatim = TRUE, ...)
}
# If the input to jsonlite::fromJSON is not valid JSON, it will try to fetch a
# URL or read a file from disk. We don't want to allow that.
safeFromJSON <- function(txt, ...) {
if (!jsonlite::validate(txt)) {
stop("Argument 'txt' is not a valid JSON string.")
}
jsonlite::fromJSON(txt, ...)
}
# Call the workerId func with no args to get the worker id, and with an arg to
# set it.
#
@@ -639,6 +648,15 @@ ShinySession <- R6Class(
values$input <- allInputs[items]
}
# Apply preprocessor functions for inputs that have them.
values$input <- lapply(
setNames(names(values$input), names(values$input)),
function(name) {
preprocess <- private$getSnapshotPreprocessInput(name)
preprocess(values$input[[name]])
}
)
values$input <- sortByName(values$input)
}
@@ -658,6 +676,15 @@ ShinySession <- R6Class(
}, logical(1))
values$output <- values$output[!exclude_idx]
# Apply snapshotPreprocess functions for outputs that have them.
values$output <- lapply(
setNames(names(values$output), names(values$output)),
function(name) {
preprocess <- private$getSnapshotPreprocessOutput(name)
preprocess(values$output[[name]])
}
)
values$output <- sortByName(values$output)
}
@@ -712,6 +739,20 @@ ShinySession <- R6Class(
}
}
)
},
# Get the snapshotPreprocessOutput function for an output name. If no preprocess
# function has been set, return the identity function.
getSnapshotPreprocessOutput = function(name) {
fun <- attr(private$.outputs[[name]], "snapshotPreprocess", exact = TRUE)
fun %OR% identity
},
# Get the snapshotPreprocessInput function for an input name. If no preprocess
# function has been set, return the identity function.
getSnapshotPreprocessInput = function(name) {
fun <- private$.input$getMeta(name, "shiny.snapshot.preprocess")
fun %OR% identity
}
),
public = list(
@@ -773,7 +814,7 @@ ShinySession <- R6Class(
if (!is.null(websocket$request$HTTP_SHINY_SERVER_CREDENTIALS)) {
try({
creds <- jsonlite::fromJSON(websocket$request$HTTP_SHINY_SERVER_CREDENTIALS)
creds <- safeFromJSON(websocket$request$HTTP_SHINY_SERVER_CREDENTIALS)
self$user <- creds$user
self$groups <- creds$groups
}, silent=FALSE)
@@ -1192,6 +1233,13 @@ ShinySession <- R6Class(
})
if (!hasPendingUpdates()) {
# Normally, if there are no updates, simply return without sending
# anything to the client. But if we are in test mode, we still want to
# send a message with blank `values`, so that the client knows that
# any changed inputs have been received by the server and processed.
if (isTRUE(private$testMode)) {
private$sendMessage( values = list() )
}
return(invisible())
}
@@ -1453,6 +1501,37 @@ ShinySession <- R6Class(
)
)
},
sendInsertTab = function(inputId, liTag, divTag, menuName,
target, position, select) {
private$sendMessage(
`shiny-insert-tab` = list(
inputId = inputId,
liTag = liTag,
divTag = divTag,
menuName = menuName,
target = target,
position = position,
select = select
)
)
},
sendRemoveTab = function(inputId, target) {
private$sendMessage(
`shiny-remove-tab` = list(
inputId = inputId,
target = target
)
)
},
sendChangeTabVisibility = function(inputId, target, type) {
private$sendMessage(
`shiny-change-tab-visibility` = list(
inputId = inputId,
target = target,
type = type
)
)
},
updateQueryString = function(queryString, mode) {
private$sendMessage(updateQueryString = list(
queryString = queryString, mode = mode))
@@ -1491,7 +1570,8 @@ ShinySession <- R6Class(
fileData <- private$fileUploadContext$getUploadOperation(jobId)$finish()
private$.input$set(inputId, fileData)
private$.input$setMeta(inputId, "shiny.serializer", serializerFileInput)
setSerializer(inputId, serializerFileInput)
snapshotPreprocessInput(inputId, snapshotPreprocessorFileInput)
invisible()
},
@@ -1534,9 +1614,30 @@ ShinySession <- R6Class(
}
}
# @description Only applicable to files uploaded via IE. When possible,
# adds the appropriate extension to temporary files created by
# \code{mime::parse_multipart}.
# @param multipart A named list as returned by
# \code{mime::parse_multipart}
# @return A named list with datapath updated to point to the new location
# of the file, if an extension was added.
maybeMoveIEUpload <- function(multipart) {
if (is.null(multipart)) return(NULL)
lapply(multipart, function(input) {
oldPath <- input$datapath
newPath <- paste0(oldPath, maybeGetExtension(input$name))
if (oldPath != newPath) {
file.rename(oldPath, newPath)
input$datapath <- newPath
}
input
})
}
if (matches[2] == 'uploadie' && identical(req$REQUEST_METHOD, "POST")) {
id <- URLdecode(matches[3])
res <- mime::parse_multipart(req)
res <- maybeMoveIEUpload(mime::parse_multipart(req))
private$.input$set(id, res[[id]])
return(httpResponse(200, 'text/plain', 'OK'))
}
@@ -1861,17 +1962,6 @@ outputOptions <- function(x, name, ...) {
.subset2(x, 'impl')$outputOptions(name, ...)
}
#' Mark an output to be excluded from test snapshots
#'
#' @param x A reactive which will be assigned to an output.
#'
#' @export
snapshotExclude <- function(x) {
markOutputAttrs(x, snapshotExclude = TRUE)
}
#' Add callbacks for Shiny session events
#'
#' These functions are for registering callbacks on Shiny session events.
@@ -1903,6 +1993,9 @@ onFlushed <- function(fun, once = TRUE, session = getDefaultReactiveDomain()) {
}
#' @rdname onFlush
#'
#' @seealso \code{\link{onStop}()} for registering callbacks that will be
#' invoked when the application exits, or when a session ends.
#' @export
onSessionEnded <- function(fun, session = getDefaultReactiveDomain()) {
session$onSessionEnded(fun)
@@ -1927,3 +2020,86 @@ flushAllSessions <- function() {
NULL
})
}
.globals$onStopCallbacks <- Callbacks$new()
#' Run code after an application or session ends
#'
#' This function registers callback functions that are invoked when the
#' application exits (when \code{\link{runApp}} exits), or after each user
#' session ends (when a client disconnects).
#'
#' @param fun A function that will be called after the app has finished running.
#' @param session A scope for when the callback will run. If \code{onStop} is
#' called from within the server function, this will default to the current
#' session, and the callback will be invoked when the current session ends. If
#' \code{onStop} is called outside a server function, then the callback will
#' be invoked with the application exits.
#'
#'
#' @seealso \code{\link{onSessionEnded}()} for the same functionality, but at
#' the session level only.
#'
#' @return A function which, if invoked, will cancel the callback.
#' @examples
#' ## Only run this example in interactive R sessions
#' if (interactive()) {
#' # Open this application in multiple browsers, then close the browsers.
#' shinyApp(
#' ui = basicPage("onStop demo"),
#'
#' server = function(input, output, session) {
#' onStop(function() cat("Session stopped\n"))
#' },
#'
#' onStart = function() {
#' cat("Doing application setup\n")
#'
#' onStop(function() {
#' cat("Doing application cleanup\n")
#' })
#' }
#' )
#' }
#' # In the example above, onStop() is called inside of onStart(). This is
#' # the pattern that should be used when creating a shinyApp() object from
#' # a function, or at the console. If instead you are writing an app.R which
#' # will be invoked with runApp(), you can do it that way, or put the onStop()
#' # before the shinyApp() call, as shown below.
#'
#' \dontrun{
#' # ==== app.R ====
#' cat("Doing application setup\n")
#' onStop(function() {
#' cat("Doing application cleanup\n")
#' })
#'
#' shinyApp(
#' ui = basicPage("onStop demo"),
#'
#' server = function(input, output, session) {
#' onStop(function() cat("Session stopped\n"))
#' }
#' )
#' # ==== end app.R ====
#'
#'
#' # Similarly, if you have a global.R, you can call onStop() from there.
#' # ==== global.R ====
#' cat("Doing application setup\n")
#' onStop(function() {
#' cat("Doing application cleanup\n")
#' })
#' # ==== end global.R ====
#' }
#' @export
onStop <- function(fun, session = getDefaultReactiveDomain()) {
if (is.null(getDefaultReactiveDomain())) {
return(.globals$onStopCallbacks$register(fun))
} else {
# Note: In the future if we allow scoping the onStop() callback to modules
# and allow modules to be stopped, then session_proxy objects will need
# its own implementation of $onSessionEnded.
return(session$onSessionEnded(fun))
}
}

View File

@@ -93,9 +93,13 @@ as.tags.shiny.render.function <- function(x, ..., inline = FALSE) {
#'
#' @inheritParams markRenderFunction
#' @param snapshotExclude If TRUE, exclude the output from test snapshots.
#' @param snapshotPreprocess A function for preprocessing the value before
#' taking a test snapshot.
#'
#' @keywords internal
markOutputAttrs <- function(renderFunc, snapshotExclude = NULL) {
markOutputAttrs <- function(renderFunc, snapshotExclude = NULL,
snapshotPreprocess = NULL)
{
# Add the outputAttrs attribute if necessary
if (is.null(attr(renderFunc, "outputAttrs", TRUE))) {
attr(renderFunc, "outputAttrs") <- list()
@@ -105,6 +109,10 @@ markOutputAttrs <- function(renderFunc, snapshotExclude = NULL) {
attr(renderFunc, "outputAttrs")$snapshotExclude <- snapshotExclude
}
if (!is.null(snapshotPreprocess)) {
attr(renderFunc, "outputAttrs")$snapshotPreprocess <- snapshotPreprocess
}
renderFunc
}
@@ -533,7 +541,18 @@ renderDataTable <- function(expr, options = NULL, searchDelay = 500,
)
}
markRenderFunction(dataTableOutput, renderFunc, outputArgs = outputArgs)
renderFunc <- markRenderFunction(dataTableOutput, renderFunc, outputArgs = outputArgs)
renderFunc <- snapshotPreprocessOutput(renderFunc, function(value) {
# Remove the action field so that it's not saved in test snapshots. It
# contains a value that changes every time an app is run, and shouldn't be
# stored for test snapshots. It will be something like:
# "session/e0d14d3fe97f672f9655a127f2a1e079/dataobj/table?w=&nonce=7f5d6d54e22450a3"
value$action <- NULL
value
})
renderFunc
}
# a data frame containing the DataTables 1.9 and 1.10 names

44
R/snapshot.R Normal file
View File

@@ -0,0 +1,44 @@
#' Mark an output to be excluded from test snapshots
#'
#' @param x A reactive which will be assigned to an output.
#'
#' @export
snapshotExclude <- function(x) {
markOutputAttrs(x, snapshotExclude = TRUE)
}
#' Add a function for preprocessing an output before taking a test snapshot
#'
#' @param x A reactive which will be assigned to an output.
#' @param fun A function that takes the output value as an input and returns a
#' modified value. The returned value will be used for the test snapshot.
#'
#' @export
snapshotPreprocessOutput <- function(x, fun) {
markOutputAttrs(x, snapshotPreprocess = fun)
}
#' Add a function for preprocessing an input before taking a test snapshot
#'
#' @param inputId Name of the input value.
#' @param fun A function that takes the input value and returns a modified
#' value. The returned value will be used for the test snapshot.
#' @param session A Shiny session object.
#'
#' @export
snapshotPreprocessInput <- function(inputId, fun, session = getDefaultReactiveDomain()) {
if (is.null(session)) {
stop("snapshotPreprocessInput() needs a session object.")
}
input_impl <- .subset2(session$input, "impl")
input_impl$setMeta(inputId, "shiny.snapshot.preprocess", fun)
}
# Strip out file path from fileInput value
snapshotPreprocessorFileInput <- function(value) {
value$datapath <- basename(value$datapath)
value
}

View File

@@ -2,6 +2,7 @@
#'
#' @template update-input
#' @param value The value to set for the input object.
#' @param placeholder The placeholder to set for the input object.
#'
#' @seealso \code{\link{textInput}}
#'
@@ -34,15 +35,15 @@
#' shinyApp(ui, server)
#' }
#' @export
updateTextInput <- function(session, inputId, label = NULL, value = NULL) {
message <- dropNulls(list(label=label, value=value))
updateTextInput <- function(session, inputId, label = NULL, value = NULL, placeholder = NULL) {
message <- dropNulls(list(label=label, value=value, placeholder=placeholder))
session$sendInputMessage(inputId, message)
}
#' Change the value of a textarea input on the client
#'
#' @template update-input
#' @param value The value to set for the input object.
#' @inheritParams updateTextInput
#'
#' @seealso \code{\link{textAreaInput}}
#'
@@ -106,7 +107,10 @@ updateTextAreaInput <- updateTextInput
#' shinyApp(ui, server)
#' }
#' @export
updateCheckboxInput <- updateTextInput
updateCheckboxInput <- function(session, inputId, label = NULL, value = NULL) {
message <- dropNulls(list(label=label, value=value))
session$sendInputMessage(inputId, message)
}
#' Change the label or icon of an action button on the client
@@ -651,7 +655,7 @@ updateSelectizeInput <- function(session, inputId, label = NULL, choices = NULL,
selectizeJSON <- function(data, req) {
query <- parseQueryString(req$QUERY_STRING)
# extract the query variables, conjunction (and/or), search string, maximum options
var <- c(jsonlite::fromJSON(query$field))
var <- c(safeFromJSON(query$field))
cjn <- if (query$conju == 'and') all else any
# all keywords in lower-case, for case-insensitive matching
key <- unique(strsplit(tolower(query$query), '\\s+')[[1]])

View File

@@ -43,53 +43,43 @@ repeatable <- function(rngfunc, seed = stats::runif(1, 0, .Machine$integer.max))
}
}
# Temporarily set x in env to value, evaluate expr, and
# then restore x to its original state
withTemporary <- function(env, x, value, expr, unset = FALSE) {
if (exists(x, envir = env, inherits = FALSE)) {
oldValue <- get(x, envir = env, inherits = FALSE)
on.exit(
assign(x, oldValue, envir = env, inherits = FALSE),
add = TRUE)
} else {
on.exit(
rm(list = x, envir = env, inherits = FALSE),
add = TRUE
)
}
if (!missing(value) && !isTRUE(unset))
assign(x, value, envir = env, inherits = FALSE)
else {
if (exists(x, envir = env, inherits = FALSE))
rm(list = x, envir = env, inherits = FALSE)
}
force(expr)
}
.globals$ownSeed <- NULL
# Evaluate an expression using Shiny's own private stream of
# randomness (not affected by set.seed).
withPrivateSeed <- function(expr) {
withTemporary(.GlobalEnv, ".Random.seed",
.globals$ownSeed, unset=is.null(.globals$ownSeed), {
tryCatch({
expr
}, finally = {
.globals$ownSeed <- getExists('.Random.seed', 'numeric', globalenv())
})
}
)
}
# Save the old seed if present.
if (exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE)) {
hasOrigSeed <- TRUE
origSeed <- .GlobalEnv$.Random.seed
} else {
hasOrigSeed <- FALSE
}
# a homemade version of set.seed(NULL) for backward compatibility with R 2.15.x
reinitializeSeed <- if (getRversion() >= '3.0.0') {
function() set.seed(NULL)
} else function() {
if (exists('.Random.seed', globalenv()))
rm(list = '.Random.seed', pos = globalenv())
stats::runif(1) # generate any random numbers so R can reinitialize the seed
# Swap in the private seed.
if (is.null(.globals$ownSeed)) {
if (hasOrigSeed) {
# Move old seed out of the way if present.
rm(.Random.seed, envir = .GlobalEnv, inherits = FALSE)
}
} else {
.GlobalEnv$.Random.seed <- .globals$ownSeed
}
# On exit, save the modified private seed, and put the old seed back.
on.exit({
.globals$ownSeed <- .GlobalEnv$.Random.seed
if (hasOrigSeed) {
.GlobalEnv$.Random.seed <- origSeed
} else {
rm(.Random.seed, envir = .GlobalEnv, inherits = FALSE)
}
# Need to call this to make sure that the value of .Random.seed gets put
# into R's internal RNG state. (Issue #1763)
httpuv::getRNGState()
})
expr
}
# Version of runif that runs with private seed
@@ -225,7 +215,7 @@ sortByName <- function(x) {
# R >=3.2.0, this wrapper is not necessary.
list2env2 <- function(x, ...) {
# Ensure that zero-length lists have a name attribute
if (length(x) == 0)
if (length(x) == 0)
attr(x, "names") <- character(0)
list2env(x, ...)
@@ -672,6 +662,9 @@ Callbacks <- R6Class(
.callbacks <<- Map$new()
},
register = function(callback) {
if (!is.function(callback)) {
stop("callback must be a function")
}
id <- as.character(.nextId)
.nextId <<- .nextId - 1L
.callbacks$set(id, callback)
@@ -1539,7 +1532,10 @@ writeUTF8 <- function(text, ...) {
writeLines(text, ..., useBytes = TRUE)
}
URLdecode <- decodeURIComponent
URLdecode <- function(value) {
decodeURIComponent(value)
}
URLencode <- function(value, reserved = FALSE) {
value <- enc2utf8(value)
if (reserved) encodeURIComponent(value) else encodeURI(value)

View File

@@ -16,7 +16,7 @@ For an introduction and examples, visit the [Shiny Dev Center](http://shiny.rstu
* Works in any R environment (Console R, Rgui for Windows or Mac, ESS, StatET, RStudio, etc.).
* Attractive default UI theme based on [Bootstrap](http://getbootstrap.com/).
* A highly customizable slider widget with built-in support for animation.
* Pre-built output widgets for displaying plots, tables, and printed output of R objects.
* Prebuilt output widgets for displaying plots, tables, and printed output of R objects.
* Fast bidirectional communication between the web browser and R using the [httpuv](https://github.com/rstudio/httpuv) package.
* Uses a [reactive](http://en.wikipedia.org/wiki/Reactive_programming) programming model that eliminates messy event handling code, so you can focus on the code that really matters.
* Develop and redistribute your own Shiny widgets that other developers can easily drop into their own applications (coming soon!).
@@ -43,22 +43,19 @@ To learn more we highly recommend you check out the [Shiny Tutorial](http://shin
We hope you enjoy using Shiny. If you have general questions about using Shiny, please use the Shiny [mailing list](https://groups.google.com/forum/#!forum/shiny-discuss). For bug reports, please use the [issue tracker](https://github.com/rstudio/shiny/issues).
## Bootstrap 3 migration
Shiny versions 0.10.2.2 and below used the Bootstrap 2 web framework. After 0.10.2.2, Shiny switched to Bootstrap 3. For most users, the upgrade should be seamless. However, if you have have customized your HTML-generating code to use features specific to Bootstrap 2, you may need to update your code to work with Bootstrap 3.
If you do not wish to update your code at this time, you can use the [shinybootstrap2](https://github.com/rstudio/shinybootstrap2) package for backward compatibility.
If you prefer to install an older version of Shiny, you can do it using the devtools package:
```R
devtools::install_version("shiny", version = "0.10.2.2")
```
## Development notes
The Javascript code in Shiny is minified using tools that run on Node.js. See the tools/ directory for more information.
A set of application-level tests reside in the [shiny-test-apps](https://github.com/rstudio/shiny-test-apps) repository, which is set up as a git submodule of this repository. To use the full-application tests, simply update the submodule:
```
git submodule update --init
```
This will clone the shiny-test-apps repository into the directory tests/testthat/apps. When you run tests for shiny, it will also test the applications.
## Guidelines for contributing
We welcome contributions to the **shiny** package. Please see our [CONTRIBUTING.md](CONTRIBUTING.md) file for detailed guidelines of how to contribute.

View File

@@ -1,4 +1,3 @@
This small Shiny application demonstrates Shiny's automatic UI updates. Move
the *Number of bins* slider and notice how the `renderPlot` expression is
automatically re-evaluated when its dependant, `input$bins`, changes,
causing a histogram with a new number of bins to be rendered.
This small Shiny application demonstrates Shiny's automatic UI updates.
Move the *Number of bins* slider and notice how the `renderPlot` expression is automatically re-evaluated when its dependant, `input$bins`, changes, causing a histogram with a new number of bins to be rendered.

View File

@@ -0,0 +1,59 @@
library(shiny)
# Define UI for app that draws a histogram ----
ui <- fluidPage(
# App title ----
titlePanel("Hello Shiny!"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Slider for the number of bins ----
sliderInput(inputId = "bins",
label = "Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Histogram ----
plotOutput(outputId = "distPlot")
)
)
)
# Define server logic required to draw a histogram ----
server <- function(input, output) {
# Histogram of the Old Faithful Geyser Data ----
# with requested number of bins
# This expression that generates a histogram is wrapped in a call
# to renderPlot to indicate that:
#
# 1. It is "reactive" and therefore should be automatically
# re-executed when inputs (input$bins) change
# 2. Its output type is a plot
output$distPlot <- renderPlot({
x <- faithful$waiting
bins <- seq(min(x), max(x), length.out = input$bins + 1)
hist(x, breaks = bins, col = "#75AADB", border = "white",
xlab = "Waiting time to next eruption (in mins)",
main = "Histogram of waiting times")
})
}
# Create Shiny app ----
shinyApp(ui = ui, server = server)

View File

@@ -1,21 +0,0 @@
library(shiny)
# Define server logic required to draw a histogram
function(input, output) {
# Expression that generates a histogram. The expression is
# wrapped in a call to renderPlot to indicate that:
#
# 1) It is "reactive" and therefore should be automatically
# re-executed when inputs change
# 2) Its output type is a plot
output$distPlot <- renderPlot({
x <- faithful[, 2] # Old Faithful Geyser data
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
}

View File

@@ -1,24 +0,0 @@
library(shiny)
# Define UI for application that draws a histogram
fluidPage(
# Application title
titlePanel("Hello Shiny!"),
# Sidebar with a slider input for the number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
)
)

View File

@@ -1 +1 @@
This example demonstrates output of raw text from R using the `renderPrint` function in `server.R` and the `verbatimTextOutput` function in `ui.R`. In this case, a textual summary of the data is shown using R's built-in `summary` function.
This example demonstrates output of raw text from R using the `renderPrint` function in `server` and the `verbatimTextOutput` function in `ui`. In this case, a textual summary of the data is shown using R's built-in `summary` function.

View File

@@ -0,0 +1,64 @@
library(shiny)
# Define UI for dataset viewer app ----
ui <- fluidPage(
# App title ----
titlePanel("Shiny Text"),
# Sidebar layout with a input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Selector for choosing dataset ----
selectInput(inputId = "dataset",
label = "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Input: Numeric entry for number of obs to view ----
numericInput(inputId = "obs",
label = "Number of observations to view:",
value = 10)
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Verbatim text for data summary ----
verbatimTextOutput("summary"),
# Output: HTML table with requested number of observations ----
tableOutput("view")
)
)
)
# Define server logic to summarize and view selected dataset ----
server <- function(input, output) {
# Return the requested dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Generate a summary of the dataset ----
output$summary <- renderPrint({
dataset <- datasetInput()
summary(dataset)
})
# Show the first "n" observations ----
output$view <- renderTable({
head(datasetInput(), n = input$obs)
})
}
# Create Shiny app ----
shinyApp(ui = ui, server = server)

View File

@@ -1,26 +0,0 @@
library(shiny)
library(datasets)
# Define server logic required to summarize and view the selected
# dataset
function(input, output) {
# Return the requested dataset
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Generate a summary of the dataset
output$summary <- renderPrint({
dataset <- datasetInput()
summary(dataset)
})
# Show the first "n" observations
output$view <- renderTable({
head(datasetInput(), n = input$obs)
})
}

View File

@@ -1,27 +0,0 @@
library(shiny)
# Define UI for dataset viewer application
fluidPage(
# Application title
titlePanel("Shiny Text"),
# Sidebar with controls to select a dataset and specify the
# number of observations to view
sidebarLayout(
sidebarPanel(
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
numericInput("obs", "Number of observations to view:", 10)
),
# Show a summary of the dataset and an HTML table with the
# requested number of observations
mainPanel(
verbatimTextOutput("summary"),
tableOutput("view")
)
)
)

View File

@@ -1,5 +1,5 @@
This example demonstrates a core feature of Shiny: **reactivity**. In `server.R`, a reactive called `datasetInput` is declared.
This example demonstrates a core feature of Shiny: **reactivity**. In the `server` function, a reactive called `datasetInput` is declared.
Notice that the reactive expression depends on the input expression `input$dataset`, and that it's used by both the output expression `output$summary` and `output$view`. Try changing the dataset (using *Choose a dataset*) while looking at the reactive and then at the outputs; you will see first the reactive and then its dependencies flash.
Notice that the reactive expression depends on the input expression `input$dataset`, and that it's used by two output expressions: `output$summary` and `output$view`. Try changing the dataset (using *Choose a dataset*) while looking at the reactive and then at the outputs; you will see first the reactive and then its dependencies flash.
Notice also that the reactive expression doesn't just update whenever anything changes--only the inputs it depends on will trigger an update. Change the "Caption" field and notice how only the `output$caption` expression is re-evaluated; the reactive and its dependents are left alone.

View File

@@ -0,0 +1,102 @@
library(shiny)
# Define UI for dataset viewer app ----
ui <- fluidPage(
# App title ----
titlePanel("Reactivity"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Text for providing a caption ----
# Note: Changes made to the caption in the textInput control
# are updated in the output area immediately as you type
textInput(inputId = "caption",
label = "Caption:",
value = "Data Summary"),
# Input: Selector for choosing dataset ----
selectInput(inputId = "dataset",
label = "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Input: Numeric entry for number of obs to view ----
numericInput(inputId = "obs",
label = "Number of observations to view:",
value = 10)
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Formatted text for caption ----
h3(textOutput("caption", container = span)),
# Output: Verbatim text for data summary ----
verbatimTextOutput("summary"),
# Output: HTML table with requested number of observations ----
tableOutput("view")
)
)
)
# Define server logic to summarize and view selected dataset ----
server <- function(input, output) {
# Return the requested dataset ----
# By declaring datasetInput as a reactive expression we ensure
# that:
#
# 1. It is only called when the inputs it depends on changes
# 2. The computation and result are shared by all the callers,
# i.e. it only executes a single time
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Create caption ----
# The output$caption is computed based on a reactive expression
# that returns input$caption. When the user changes the
# "caption" field:
#
# 1. This function is automatically called to recompute the output
# 2. New caption is pushed back to the browser for re-display
#
# Note that because the data-oriented reactive expressions
# below don't depend on input$caption, those expressions are
# NOT called when input$caption changes
output$caption <- renderText({
input$caption
})
# Generate a summary of the dataset ----
# The output$summary depends on the datasetInput reactive
# expression, so will be re-executed whenever datasetInput is
# invalidated, i.e. whenever the input$dataset changes
output$summary <- renderPrint({
dataset <- datasetInput()
summary(dataset)
})
# Show the first "n" observations ----
# The output$view depends on both the databaseInput reactive
# expression and input$obs, so it will be re-executed whenever
# input$dataset or input$obs is changed
output$view <- renderTable({
head(datasetInput(), n = input$obs)
})
}
# Create Shiny app ----
shinyApp(ui, server)

View File

@@ -1,53 +0,0 @@
library(shiny)
library(datasets)
# Define server logic required to summarize and view the selected
# dataset
function(input, output) {
# By declaring datasetInput as a reactive expression we ensure
# that:
#
# 1) It is only called when the inputs it depends on changes
# 2) The computation and result are shared by all the callers
# (it only executes a single time)
#
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# The output$caption is computed based on a reactive expression
# that returns input$caption. When the user changes the
# "caption" field:
#
# 1) This function is automatically called to recompute the
# output
# 2) The new caption is pushed back to the browser for
# re-display
#
# Note that because the data-oriented reactive expressions
# below don't depend on input$caption, those expressions are
# NOT called when input$caption changes.
output$caption <- renderText({
input$caption
})
# The output$summary depends on the datasetInput reactive
# expression, so will be re-executed whenever datasetInput is
# invalidated
# (i.e. whenever the input$dataset changes)
output$summary <- renderPrint({
dataset <- datasetInput()
summary(dataset)
})
# The output$view depends on both the databaseInput reactive
# expression and input$obs, so will be re-executed whenever
# input$dataset or input$obs is changed.
output$view <- renderTable({
head(datasetInput(), n = input$obs)
})
}

View File

@@ -1,34 +0,0 @@
library(shiny)
# Define UI for dataset viewer application
fluidPage(
# Application title
titlePanel("Reactivity"),
# Sidebar with controls to provide a caption, select a dataset,
# and specify the number of observations to view. Note that
# changes made to the caption in the textInput control are
# updated in the output area immediately as you type
sidebarLayout(
sidebarPanel(
textInput("caption", "Caption:", "Data Summary"),
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
numericInput("obs", "Number of observations to view:", 10)
),
# Show the caption, a summary of the dataset and an HTML
# table with the requested number of observations
mainPanel(
h3(textOutput("caption", container = span)),
verbatimTextOutput("summary"),
tableOutput("view")
)
)
)

View File

@@ -1,4 +1,4 @@
This example demonstrates the following concepts:
* **Global variables**: The `mpgData` variable is declared outside the `shinyServer` function. This makes it available anywhere inside `shinyServer`. The code in `server.R` outside `shinyServer` is only run once when the app starts up, so it can't contain user input.
* **Reactive expressions**: `formulaText` is a reactive expression. Note how it re-evaluates when the Variable field is changed, but not when the Show Outliers box is ticked.
- **Global variables**: The `mpgData` variable is declared outside of the `ui` and `server` function definitions. This makes it available anywhere inside `app.R`. The code in `app.R` outside of `ui` and `server` function definitions is only run once when the app starts up, so it can't contain user input.
- **Reactive expressions**: `formulaText` is a reactive expression. Note how it re-evaluates when the Variable field is changed, but not when the Show Outliers box is unchecked.

View File

@@ -0,0 +1,75 @@
library(shiny)
library(datasets)
# Data pre-processing ----
# Tweak the "am" variable to have nicer factor labels -- since this
# doesn't rely on any user inputs, we can do this once at startup
# and then use the value throughout the lifetime of the app
mpgData <- mtcars
mpgData$am <- factor(mpgData$am, labels = c("Automatic", "Manual"))
# Define UI for miles per gallon app ----
ui <- fluidPage(
# App title ----
titlePanel("Miles Per Gallon"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Selector for variable to plot against mpg ----
selectInput("variable", "Variable:",
c("Cylinders" = "cyl",
"Transmission" = "am",
"Gears" = "gear")),
# Input: Checkbox for whether outliers should be included ----
checkboxInput("outliers", "Show outliers", TRUE)
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Formatted text for caption ----
h3(textOutput("caption")),
# Output: Plot of the requested variable against mpg ----
plotOutput("mpgPlot")
)
)
)
# Define server logic to plot various variables against mpg ----
server <- function(input, output) {
# Compute the formula text ----
# This is in a reactive expression since it is shared by the
# output$caption and output$mpgPlot functions
formulaText <- reactive({
paste("mpg ~", input$variable)
})
# Return the formula text for printing as a caption ----
output$caption <- renderText({
formulaText()
})
# Generate a plot of the requested variable against mpg ----
# and only exclude outliers if requested
output$mpgPlot <- renderPlot({
boxplot(as.formula(formulaText()),
data = mpgData,
outline = input$outliers,
col = "#75AADB", pch = 19)
})
}
# Create Shiny app ----
shinyApp(ui, server)

View File

@@ -1,34 +0,0 @@
library(shiny)
library(datasets)
# We tweak the "am" field to have nicer factor labels. Since
# this doesn't rely on any user inputs we can do this once at
# startup and then use the value throughout the lifetime of the
# application
mpgData <- mtcars
mpgData$am <- factor(mpgData$am, labels = c("Automatic", "Manual"))
# Define server logic required to plot various variables against
# mpg
function(input, output) {
# Compute the formula text in a reactive expression since it is
# shared by the output$caption and output$mpgPlot functions
formulaText <- reactive({
paste("mpg ~", input$variable)
})
# Return the formula text for printing as a caption
output$caption <- renderText({
formulaText()
})
# Generate a plot of the requested variable against mpg and
# only include outliers if requested
output$mpgPlot <- renderPlot({
boxplot(as.formula(formulaText()),
data = mpgData,
outline = input$outliers)
})
}

View File

@@ -1,29 +0,0 @@
library(shiny)
# Define UI for miles per gallon application
fluidPage(
# Application title
titlePanel("Miles Per Gallon"),
# Sidebar with controls to select the variable to plot against
# mpg and to specify whether outliers should be included
sidebarLayout(
sidebarPanel(
selectInput("variable", "Variable:",
c("Cylinders" = "cyl",
"Transmission" = "am",
"Gears" = "gear")),
checkboxInput("outliers", "Show outliers", FALSE)
),
# Show the caption and plot of the requested variable against
# mpg
mainPanel(
h3(textOutput("caption")),
plotOutput("mpgPlot")
)
)
)

View File

@@ -0,0 +1,86 @@
library(shiny)
# Define UI for slider demo app ----
ui <- fluidPage(
# App title ----
titlePanel("Sliders"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar to demonstrate various slider options ----
sidebarPanel(
# Input: Simple integer interval ----
sliderInput("integer", "Integer:",
min = 0, max = 1000,
value = 500),
# Input: Decimal interval with step value ----
sliderInput("decimal", "Decimal:",
min = 0, max = 1,
value = 0.5, step = 0.1),
# Input: Specification of range within an interval ----
sliderInput("range", "Range:",
min = 1, max = 1000,
value = c(200,500)),
# Input: Custom currency format for with basic animation ----
sliderInput("format", "Custom Format:",
min = 0, max = 10000,
value = 0, step = 2500,
pre = "$", sep = ",",
animate = TRUE),
# Input: Animation with custom interval (in ms) ----
# to control speed, plus looping
sliderInput("animation", "Looping Animation:",
min = 1, max = 2000,
value = 1, step = 10,
animate =
animationOptions(interval = 300, loop = TRUE))
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Table summarizing the values entered ----
tableOutput("values")
)
)
)
# Define server logic for slider examples ----
server <- function(input, output) {
# Reactive expression to create data frame of all input values ----
sliderValues <- reactive({
data.frame(
Name = c("Integer",
"Decimal",
"Range",
"Custom Format",
"Animation"),
Value = as.character(c(input$integer,
input$decimal,
paste(input$range, collapse = " "),
input$format,
input$animation)),
stringsAsFactors = FALSE)
})
# Show the values in an HTML table ----
output$values <- renderTable({
sliderValues()
})
}
# Create Shiny app ----
shinyApp(ui, server)

View File

@@ -1,29 +0,0 @@
library(shiny)
# Define server logic for slider examples
function(input, output) {
# Reactive expression to compose a data frame containing all of
# the values
sliderValues <- reactive({
# Compose data frame
data.frame(
Name = c("Integer",
"Decimal",
"Range",
"Custom Format",
"Animation"),
Value = as.character(c(input$integer,
input$decimal,
paste(input$range, collapse=' '),
input$format,
input$animation)),
stringsAsFactors=FALSE)
})
# Show the values using an HTML table
output$values <- renderTable({
sliderValues()
})
}

View File

@@ -1,43 +0,0 @@
library(shiny)
# Define UI for slider demo application
fluidPage(
# Application title
titlePanel("Sliders"),
# Sidebar with sliders that demonstrate various available
# options
sidebarLayout(
sidebarPanel(
# Simple integer interval
sliderInput("integer", "Integer:",
min=0, max=1000, value=500),
# Decimal interval with step value
sliderInput("decimal", "Decimal:",
min = 0, max = 1, value = 0.5, step= 0.1),
# Specification of range within an interval
sliderInput("range", "Range:",
min = 1, max = 1000, value = c(200,500)),
# Provide a custom currency format for value display,
# with basic animation
sliderInput("format", "Custom Format:",
min = 0, max = 10000, value = 0, step = 2500,
pre = "$", sep = ",", animate=TRUE),
# Animation with custom interval (in ms) to control speed,
# plus looping
sliderInput("animation", "Looping Animation:", 1, 2000, 1,
step = 10, animate =
animationOptions(interval=300, loop=TRUE))
),
# Show a table summarizing the values entered
mainPanel(
tableOutput("values")
)
)
)

View File

@@ -2,7 +2,7 @@ This example demonstrates the `tabsetPanel` and `tabPanel` widgets.
Notice that outputs that are not visible are not re-evaluated until they become visible. Try this:
1. Scroll to the bottom of `server.R`
1. Scroll to the bottom of the `server` function. You might need to use the *show with app* option so you can easily view the code and interact with the app at the same time.
2. Change the number of observations, and observe that only `output$plot` is evaluated.
3. Click the Summary tab, and observe that `output$summary` is evaluated.
4. Change the number of observations again, and observe that now only `output$summary` is evaluated.

View File

@@ -0,0 +1,92 @@
library(shiny)
# Define UI for random distribution app ----
ui <- fluidPage(
# App title ----
titlePanel("Tabsets"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Select the random distribution type ----
radioButtons("dist", "Distribution type:",
c("Normal" = "norm",
"Uniform" = "unif",
"Log-normal" = "lnorm",
"Exponential" = "exp")),
# br() element to introduce extra vertical spacing ----
br(),
# Input: Slider for the number of observations to generate ----
sliderInput("n",
"Number of observations:",
value = 500,
min = 1,
max = 1000)
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Tabset w/ plot, summary, and table ----
tabsetPanel(type = "tabs",
tabPanel("Plot", plotOutput("plot")),
tabPanel("Summary", verbatimTextOutput("summary")),
tabPanel("Table", tableOutput("table"))
)
)
)
)
# Define server logic for random distribution app ----
server <- function(input, output) {
# Reactive expression to generate the requested distribution ----
# This is called whenever the inputs change. The output functions
# defined below then use the value computed from this expression
d <- reactive({
dist <- switch(input$dist,
norm = rnorm,
unif = runif,
lnorm = rlnorm,
exp = rexp,
rnorm)
dist(input$n)
})
# Generate a plot of the data ----
# Also uses the inputs to build the plot label. Note that the
# dependencies on the inputs and the data reactive expression are
# both tracked, and all expressions are called in the sequence
# implied by the dependency graph.
output$plot <- renderPlot({
dist <- input$dist
n <- input$n
hist(d(),
main = paste("r", dist, "(", n, ")", sep = ""),
col = "#75AADB", border = "white")
})
# Generate a summary of the data ----
output$summary <- renderPrint({
summary(d())
})
# Generate an HTML table view of the data ----
output$table <- renderTable({
d()
})
}
# Create Shiny app ----
shinyApp(ui, server)

View File

@@ -1,44 +0,0 @@
library(shiny)
# Define server logic for random distribution application
function(input, output) {
# Reactive expression to generate the requested distribution.
# This is called whenever the inputs change. The output
# functions defined below then all use the value computed from
# this expression
data <- reactive({
dist <- switch(input$dist,
norm = rnorm,
unif = runif,
lnorm = rlnorm,
exp = rexp,
rnorm)
dist(input$n)
})
# Generate a plot of the data. Also uses the inputs to build
# the plot label. Note that the dependencies on both the inputs
# and the data reactive expression are both tracked, and
# all expressions are called in the sequence implied by the
# dependency graph
output$plot <- renderPlot({
dist <- input$dist
n <- input$n
hist(data(),
main=paste('r', dist, '(', n, ')', sep=''))
})
# Generate a summary of the data
output$summary <- renderPrint({
summary(data())
})
# Generate an HTML table view of the data
output$table <- renderTable({
data.frame(x=data())
})
}

View File

@@ -1,38 +0,0 @@
library(shiny)
# Define UI for random distribution application
fluidPage(
# Application title
titlePanel("Tabsets"),
# Sidebar with controls to select the random distribution type
# and number of observations to generate. Note the use of the
# br() element to introduce extra vertical spacing
sidebarLayout(
sidebarPanel(
radioButtons("dist", "Distribution type:",
c("Normal" = "norm",
"Uniform" = "unif",
"Log-normal" = "lnorm",
"Exponential" = "exp")),
br(),
sliderInput("n",
"Number of observations:",
value = 500,
min = 1,
max = 1000)
),
# Show a tabset that includes a plot, summary, and table view
# of the generated distribution
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Plot", plotOutput("plot")),
tabPanel("Summary", verbatimTextOutput("summary")),
tabPanel("Table", tableOutput("table"))
)
)
)
)

View File

@@ -0,0 +1,82 @@
library(shiny)
# Define UI for dataset viewer app ----
ui <- fluidPage(
# App title ----
titlePanel("More Widgets"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Select a dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Input: Specify the number of observations to view ----
numericInput("obs", "Number of observations to view:", 10),
# Include clarifying text ----
helpText("Note: while the data view will show only the specified",
"number of observations, the summary will still be based",
"on the full dataset."),
# Input: actionButton() to defer the rendering of output ----
# until the user explicitly clicks the button (rather than
# doing it immediately when inputs change). This is useful if
# the computations required to render output are inordinately
# time-consuming.
actionButton("update", "Update View")
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Header + summary of distribution ----
h4("Summary"),
verbatimTextOutput("summary"),
# Output: Header + table of distribution ----
h4("Observations"),
tableOutput("view")
)
)
)
# Define server logic to summarize and view selected dataset ----
server <- function(input, output) {
# Return the requested dataset ----
# Note that we use eventReactive() here, which depends on
# input$update (the action button), so that the output is only
# updated when the user clicks the button
datasetInput <- eventReactive(input$update, {
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
}, ignoreNULL = FALSE)
# Generate a summary of the dataset ----
output$summary <- renderPrint({
dataset <- datasetInput()
summary(dataset)
})
# Show the first "n" observations ----
# The use of isolate() is necessary because we don't want the table
# to update whenever input$obs changes (only when the user clicks
# the action button)
output$view <- renderTable({
head(datasetInput(), n = isolate(input$obs))
})
}
# Create Shiny app ----
shinyApp(ui, server)

View File

@@ -1,32 +0,0 @@
library(shiny)
library(datasets)
# Define server logic required to summarize and view the
# selected dataset
function(input, output) {
# Return the requested dataset. Note that we use `eventReactive()`
# here, which takes a dependency on input$update (the action
# button), so that the output is only updated when the user
# clicks the button.
datasetInput <- eventReactive(input$update, {
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
}, ignoreNULL = FALSE)
# Generate a summary of the dataset
output$summary <- renderPrint({
dataset <- datasetInput()
summary(dataset)
})
# Show the first "n" observations. The use of `isolate()` here
# is necessary because we don't want the table to update
# whenever input$obs changes (only when the user clicks the
# action button).
output$view <- renderTable({
head(datasetInput(), n = isolate(input$obs))
})
}

View File

@@ -1,43 +0,0 @@
library(shiny)
# Define UI for dataset viewer application
fluidPage(
# Application title.
titlePanel("More Widgets"),
# Sidebar with controls to select a dataset and specify the
# number of observations to view. The helpText function is
# also used to include clarifying text. Most notably, the
# inclusion of an actionButton defers the rendering of output
# until the user explicitly clicks the button (rather than
# doing it immediately when inputs change). This is useful if
# the computations required to render output are inordinately
# time-consuming.
sidebarLayout(
sidebarPanel(
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
numericInput("obs", "Number of observations to view:", 10),
helpText("Note: while the data view will show only the specified",
"number of observations, the summary will still be based",
"on the full dataset."),
actionButton("update", "Update View")
),
# Show a summary of the dataset and an HTML table with the
# requested number of observations. Note the use of the h4
# function to provide an additional header above each output
# section.
mainPanel(
h4("Summary"),
verbatimTextOutput("summary"),
h4("Observations"),
tableOutput("view")
)
)
)

View File

@@ -1,4 +1 @@
Normally we use the built-in functions, such as `textInput()`, to generate
the HTML UI in the R script `ui.R`. Actually **shiny** also works with a
custom HTML page `www/index.html`. See [the
tutorial](http://rstudio.github.io/shiny/tutorial/#html-ui) for more details.
Normally we use the built-in functions, such as `textInput()`, to generate the HTML UI in the R script `ui.R`. Actually **shiny** also works with a custom HTML page `www/index.html`. See [the tutorial](http://shiny.rstudio.com/tutorial/) for more details.

View File

@@ -0,0 +1,47 @@
library(shiny)
# Define server logic for random distribution app ----
server <- function(input, output) {
# Reactive expression to generate the requested distribution ----
# This is called whenever the inputs change. The output functions
# defined below then use the value computed from this expression
d <- reactive({
dist <- switch(input$dist,
norm = rnorm,
unif = runif,
lnorm = rlnorm,
exp = rexp,
rnorm)
dist(input$n)
})
# Generate a plot of the data ----
# Also uses the inputs to build the plot label. Note that the
# dependencies on the inputs and the data reactive expression are
# both tracked, and all expressions are called in the sequence
# implied by the dependency graph.
output$plot <- renderPlot({
dist <- input$dist
n <- input$n
hist(d(),
main = paste("r", dist, "(", n, ")", sep = ""),
col = "#75AADB", border = "white")
})
# Generate a summary of the data ----
output$summary <- renderPrint({
summary(d())
})
# Generate an HTML table view of the head of the data ----
output$table <- renderTable({
head(data.frame(x = d()))
})
}
# Create Shiny app ----
shinyApp(ui = htmlTemplate("www/index.html"), server)

View File

@@ -1,42 +0,0 @@
library(shiny)
# Define server logic for random distribution application
function(input, output) {
# Reactive expression to generate the requested distribution. This is
# called whenever the inputs change. The output expressions defined
# below then all used the value computed from this expression
data <- reactive({
dist <- switch(input$dist,
norm = rnorm,
unif = runif,
lnorm = rlnorm,
exp = rexp,
rnorm)
dist(input$n)
})
# Generate a plot of the data. Also uses the inputs to build the
# plot label. Note that the dependencies on both the inputs and
# the data reactive expression are both tracked, and all expressions
# are called in the sequence implied by the dependency graph
output$plot <- renderPlot({
dist <- input$dist
n <- input$n
hist(data(),
main=paste('r', dist, '(', n, ')', sep=''))
})
# Generate a summary of the data
output$summary <- renderPrint({
summary(data())
})
# Generate an HTML table view of the data
output$table <- renderTable({
data.frame(x=data())
})
}

View File

@@ -3,13 +3,13 @@
<head>
<script src="shared/jquery.js" type="text/javascript"></script>
<script src="shared/shiny.js" type="text/javascript"></script>
<link rel="stylesheet" type="text/css" href="shared/shiny.css"/>
<link rel="stylesheet" type="text/css" href="shared/shiny.css"/>
</head>
<body>
<h1>HTML UI</h1>
<p>
<label>Distribution type:</label><br />
<select name="dist">
@@ -17,22 +17,25 @@
<option value="unif">Uniform</option>
<option value="lnorm">Log-normal</option>
<option value="exp">Exponential</option>
</select>
</select>
</p>
<p>
<label>Number of observations:</label><br />
<label>Number of observations:</label><br />
<input type="number" name="n" value="500" min="1" max="1000" />
</p>
<pre id="summary" class="shiny-text-output"></pre>
<div id="plot" class="shiny-plot-output"
style="width: 100%; height: 400px"></div>
<h3>Summary of data:</h3>
<pre id="summary" class="shiny-text-output"></pre>
<h3>Plot of data:</h3>
<div id="plot" class="shiny-plot-output"
style="width: 100%; height: 300px"></div>
<h3>Head of data:</h3>
<div id="table" class="shiny-html-output"></div>
</body>
</html>
</html>

View File

@@ -1,4 +1,3 @@
We can add a file upload input in the UI using the function `fileInput()`,
e.g. `fileInput('foo')`. In `server.R`, we can access the uploaded files via
`input$foo`. See [the
tutorial](http://rstudio.github.io/shiny/tutorial/#uploads) for more details.
e.g. `fileInput('foo')`. In the `server` function, we can access the
uploaded files via `input$foo`.

View File

@@ -0,0 +1,92 @@
library(shiny)
# Define UI for data upload app ----
ui <- fluidPage(
# App title ----
titlePanel("Uploading Files"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Select a file ----
fileInput("file1", "Choose CSV File",
multiple = TRUE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv")),
# Horizontal line ----
tags$hr(),
# Input: Checkbox if file has header ----
checkboxInput("header", "Header", TRUE),
# Input: Select separator ----
radioButtons("sep", "Separator",
choices = c(Comma = ",",
Semicolon = ";",
Tab = "\t"),
selected = ","),
# Input: Select quotes ----
radioButtons("quote", "Quote",
choices = c(None = "",
"Double Quote" = '"',
"Single Quote" = "'"),
selected = '"'),
# Horizontal line ----
tags$hr(),
# Input: Select number of rows to display ----
radioButtons("disp", "Display",
choices = c(Head = "head",
All = "all"),
selected = "head")
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Data file ----
tableOutput("contents")
)
)
)
# Define server logic to read selected file ----
server <- function(input, output) {
output$contents <- renderTable({
# input$file1 will be NULL initially. After the user selects
# and uploads a file, head of that data file by default,
# or all rows if selected, will be shown.
req(input$file1)
df <- read.csv(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
if(input$disp == "head") {
return(head(df))
}
else {
return(df)
}
})
}
# Create Shiny app ----
shinyApp(ui, server)

View File

@@ -1,20 +0,0 @@
library(shiny)
function(input, output) {
output$contents <- renderTable({
# input$file1 will be NULL initially. After the user selects
# and uploads a file, it will be a data frame with 'name',
# 'size', 'type', and 'datapath' columns. The 'datapath'
# column will contain the local filenames where the data can
# be found.
inFile <- input$file1
if (is.null(inFile))
return(NULL)
read.csv(inFile$datapath, header=input$header, sep=input$sep,
quote=input$quote)
})
}

View File

@@ -1,28 +0,0 @@
library(shiny)
fluidPage(
titlePanel("Uploading Files"),
sidebarLayout(
sidebarPanel(
fileInput('file1', 'Choose CSV File',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
tags$hr(),
checkboxInput('header', 'Header', TRUE),
radioButtons('sep', 'Separator',
c(Comma=',',
Semicolon=';',
Tab='\t'),
','),
radioButtons('quote', 'Quote',
c(None='',
'Double Quote'='"',
'Single Quote'="'"),
'"')
),
mainPanel(
tableOutput('contents')
)
)
)

View File

@@ -1,4 +1,2 @@
We can add a download button to the UI using `downloadButton()`, and write
the content of the file in `downloadHandler()` in `server.R`. See [the
tutorial](http://rstudio.github.io/shiny/tutorial/#downloads) for more
details.
the content of the file in `downloadHandler()` in the `server` function.

View File

@@ -0,0 +1,63 @@
library(shiny)
# Define UI for data download app ----
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
# Define server logic to display and download selected file ----
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
# Create Shiny app ----
shinyApp(ui, server)

View File

@@ -1,21 +0,0 @@
function(input, output) {
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
output$table <- renderTable({
datasetInput()
})
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, '.csv', sep='')
},
content = function(file) {
write.csv(datasetInput(), file)
}
)
}

View File

@@ -1,13 +0,0 @@
fluidPage(
titlePanel('Downloading Data'),
sidebarLayout(
sidebarPanel(
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
downloadButton('downloadData', 'Download')
),
mainPanel(
tableOutput('table')
)
)
)

View File

@@ -0,0 +1,21 @@
library(shiny)
# Define UI for displaying current time ----
ui <- fluidPage(
h2(textOutput("currentTime"))
)
# Define server logic to show current time, update every second ----
server <- function(input, output, session) {
output$currentTime <- renderText({
invalidateLater(1000, session)
paste("The current time is", Sys.time())
})
}
# Create Shiny app ----
shinyApp(ui, server)

View File

@@ -1,6 +0,0 @@
function(input, output, session) {
output$currentTime <- renderText({
invalidateLater(1000, session)
paste("The current time is", Sys.time())
})
}

View File

@@ -1,3 +0,0 @@
fluidPage(
textOutput("currentTime")
)

View File

@@ -57,6 +57,8 @@ sd_section("UI Inputs",
"updateSelectInput",
"updateSliderInput",
"updateTabsetPanel",
"insertTab",
"showTab",
"updateTextInput",
"updateTextAreaInput",
"updateQueryString",
@@ -154,7 +156,8 @@ sd_section("Running",
"runGadget",
"runUrl",
"stopApp",
"viewer"
"viewer",
"isRunning"
)
)
sd_section("Bookmarking state",
@@ -193,12 +196,16 @@ sd_section("Utility functions",
"parseQueryString",
"plotPNG",
"exportTestValues",
"setSerializer",
"snapshotExclude",
"snapshotPreprocessInput",
"snapshotPreprocessOutput",
"markOutputAttrs",
"repeatable",
"shinyDeprecated",
"serverInfo",
"shiny-options"
"shiny-options",
"onStop"
)
)
sd_section("Plot interaction",

View File

@@ -1,8 +1,8 @@
<!DOCTYPE html>
<html>
<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.10.1/jquery.min.js"></script>
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<link href='http://fonts.googleapis.com/css?family=Source+Sans+Pro:200,400,600' rel='stylesheet' type='text/css'>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.10.1/jquery.min.js"></script>
<script src="https://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<link href='https://fonts.googleapis.com/css?family=Source+Sans+Pro:200,400,600' rel='stylesheet' type='text/css'>
<style type="text/css">
html, body {
font-family: 'Source Sans Pro', sans-serif;

View File

@@ -373,3 +373,11 @@ pre.shiny-text-output.noplaceholder:empty {
text-decoration: underline;
font-weight: bold;
}
.shiny-file-input-active {
box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, .6);
}
.shiny-file-input-over {
box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(76, 174, 76, .6);
}

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File diff suppressed because one or more lines are too long

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View File

@@ -15,7 +15,8 @@ checkboxGroupInput(inputId, label, choices = NULL, selected = NULL,
\item{choices}{List of values to show checkboxes for. If elements of the list
are named then that name rather than the value is displayed to the user. If
this argument is provided, then \code{choiceNames} and \code{choiceValues}
must not be provided, and vice-versa.}
must not be provided, and vice-versa. The values should be strings; other
types (such as logicals and numbers) will be coerced to strings.}
\item{selected}{The values that should be initially selected, if any.}

View File

@@ -4,13 +4,16 @@
\alias{conditionalPanel}
\title{Conditional Panel}
\usage{
conditionalPanel(condition, ...)
conditionalPanel(condition, ..., ns = NS(NULL))
}
\arguments{
\item{condition}{A JavaScript expression that will be evaluated repeatedly to
determine whether the panel should be displayed.}
\item{...}{Elements to include in the panel.}
\item{ns}{The \code{\link[=NS]{namespace}} object of the current module, if
any.}
}
\description{
Creates a panel that is visible or not, depending on the value of a
@@ -32,27 +35,50 @@ You are not recommended to use special JavaScript characters such as a
value.
}
\examples{
sidebarPanel(
selectInput(
"plotType", "Plot Type",
c(Scatter = "scatter",
Histogram = "hist")),
# Only show this panel if the plot type is a histogram
conditionalPanel(
condition = "input.plotType == 'hist'",
selectInput(
"breaks", "Breaks",
c("Sturges",
"Scott",
"Freedman-Diaconis",
"[Custom]" = "custom")),
# Only show this panel if Custom is selected
## Only run this example in interactive R sessions
if (interactive()) {
ui <- fluidPage(
sidebarPanel(
selectInput("plotType", "Plot Type",
c(Scatter = "scatter", Histogram = "hist")
),
# Only show this panel if the plot type is a histogram
conditionalPanel(
condition = "input.breaks == 'custom'",
sliderInput("breakCount", "Break Count", min=1, max=1000, value=10)
condition = "input.plotType == 'hist'",
selectInput(
"breaks", "Breaks",
c("Sturges", "Scott", "Freedman-Diaconis", "[Custom]" = "custom")
),
# Only show this panel if Custom is selected
conditionalPanel(
condition = "input.breaks == 'custom'",
sliderInput("breakCount", "Break Count", min = 1, max = 50, value = 10)
)
)
)
)
),
mainPanel(
plotOutput("plot")
)
)
server <- function(input, output) {
x <- rnorm(100)
y <- rnorm(100)
output$plot <- renderPlot({
if (input$plotType == "scatter") {
plot(x, y)
} else {
breaks <- input$breaks
if (breaks == "custom") {
breaks <- input$breakCount
}
hist(x, breaks = breaks)
}
})
}
shinyApp(ui, server)
}
}

View File

@@ -4,12 +4,18 @@
\alias{createWebDependency}
\title{Create a web dependency}
\usage{
createWebDependency(dependency)
createWebDependency(dependency, scrubFile = TRUE)
}
\arguments{
\item{dependency}{A single HTML dependency object, created using
\code{\link[htmltools]{htmlDependency}}. If the \code{src} value is named, then
\code{href} and/or \code{file} names must be present.}
\code{\link[htmltools]{htmlDependency}}. If the \code{src} value is named,
then \code{href} and/or \code{file} names must be present.}
\item{scrubFile}{If TRUE (the default), remove \code{src$file} for the
dependency. This prevents the local file path from being sent to the client
when dynamic web dependencies are used. If FALSE, don't remove
\code{src$file}. Setting it to FALSE should be needed only in very unusual
cases.}
}
\value{
A single HTML dependency object that has an \code{href}-named element

148
man/insertTab.Rd Normal file
View File

@@ -0,0 +1,148 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/insert-tab.R
\name{insertTab}
\alias{insertTab}
\alias{prependTab}
\alias{appendTab}
\alias{removeTab}
\title{Dynamically insert/remove a tabPanel}
\usage{
insertTab(inputId, tab, target, position = c("before", "after"),
select = FALSE, session = getDefaultReactiveDomain())
prependTab(inputId, tab, select = FALSE, menuName = NULL,
session = getDefaultReactiveDomain())
appendTab(inputId, tab, select = FALSE, menuName = NULL,
session = getDefaultReactiveDomain())
removeTab(inputId, target, session = getDefaultReactiveDomain())
}
\arguments{
\item{inputId}{The \code{id} of the \code{tabsetPanel} (or
\code{navlistPanel} or \code{navbarPage}) into which \code{tab} will
be inserted/removed.}
\item{tab}{The item to be added (must be created with \code{tabPanel},
or with \code{navbarMenu}).}
\item{target}{If inserting: the \code{value} of an existing
\code{tabPanel}, next to which \code{tab} will be added.
If removing: the \code{value} of the \code{tabPanel} that
you want to remove. See Details if you want to insert next to/remove
an entire \code{navbarMenu} instead.}
\item{position}{Should \code{tab} be added before or after the
\code{target} tab?}
\item{select}{Should \code{tab} be selected upon being inserted?}
\item{session}{The shiny session within which to call this function.}
\item{menuName}{This argument should only be used when you want to
prepend (or append) \code{tab} to the beginning (or end) of an
existing \code{\link{navbarMenu}} (which must itself be part of
an existing \code{\link{navbarPage}}). In this case, this argument
should be the \code{menuName} that you gave your \code{navbarMenu}
when you first created it (by default, this is equal to the value
of the \code{title} argument). Note that you still need to set the
\code{inputId} argument to whatever the \code{id} of the parent
\code{navbarPage} is. If \code{menuName} is left as \code{NULL},
\code{tab} will be prepended (or appended) to whatever
\code{inputId} is.}
}
\description{
Dynamically insert or remove a \code{\link{tabPanel}} (or a
\code{\link{navbarMenu}}) from an existing \code{\link{tabsetPanel}},
\code{\link{navlistPanel}} or \code{\link{navbarPage}}.
}
\details{
When you want to insert a new tab before or after an existing tab, you
should use \code{insertTab}. When you want to prepend a tab (i.e. add a
tab to the beginning of the \code{tabsetPanel}), use \code{prependTab}.
When you want to append a tab (i.e. add a tab to the end of the
\code{tabsetPanel}), use \code{appendTab}.
For \code{navbarPage}, you can insert/remove conventional
\code{tabPanel}s (whether at the top level or nested inside a
\code{navbarMenu}), as well as an entire \code{\link{navbarMenu}}.
For the latter case, \code{target} should be the \code{menuName} that
you gave your \code{navbarMenu} when you first created it (by default,
this is equal to the value of the \code{title} argument).
}
\examples{
## Only run this example in interactive R sessions
if (interactive()) {
# example app for inserting/removing a tab
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
actionButton("add", "Add 'Dynamic' tab"),
actionButton("remove", "Remove 'Foo' tab")
),
mainPanel(
tabsetPanel(id = "tabs",
tabPanel("Hello", "This is the hello tab"),
tabPanel("Foo", "This is the foo tab"),
tabPanel("Bar", "This is the bar tab")
)
)
)
)
server <- function(input, output, session) {
observeEvent(input$add, {
insertTab(inputId = "tabs",
tabPanel("Dynamic", "This a dynamically-added tab"),
target = "Bar"
)
})
observeEvent(input$remove, {
removeTab(inputId = "tabs", target = "Foo")
})
}
shinyApp(ui, server)
# example app for prepending/appending a navbarMenu
ui <- navbarPage("Navbar page", id = "tabs",
tabPanel("Home",
actionButton("prepend", "Prepend a navbarMenu"),
actionButton("append", "Append a navbarMenu")
)
)
server <- function(input, output, session) {
observeEvent(input$prepend, {
id <- paste0("Dropdown", input$prepend, "p")
prependTab(inputId = "tabs",
navbarMenu(id,
tabPanel("Drop1", paste("Drop1 page from", id)),
tabPanel("Drop2", paste("Drop2 page from", id)),
"------",
"Header",
tabPanel("Drop3", paste("Drop3 page from", id))
)
)
})
observeEvent(input$append, {
id <- paste0("Dropdown", input$append, "a")
appendTab(inputId = "tabs",
navbarMenu(id,
tabPanel("Drop1", paste("Drop1 page from", id)),
tabPanel("Drop2", paste("Drop2 page from", id)),
"------",
"Header",
tabPanel("Drop3", paste("Drop3 page from", id))
)
)
})
}
shinyApp(ui, server)
}
}
\seealso{
\code{\link{showTab}}
}

15
man/isRunning.Rd Normal file
View File

@@ -0,0 +1,15 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/server.R
\name{isRunning}
\alias{isRunning}
\title{Check whether a Shiny application is running}
\usage{
isRunning()
}
\value{
\code{TRUE} if a Shiny application is currently running. Otherwise,
\code{FALSE}.
}
\description{
This function tests whether a Shiny application is currently running.
}

View File

@@ -4,13 +4,17 @@
\alias{markOutputAttrs}
\title{Mark a render function with attributes that will be used by the output}
\usage{
markOutputAttrs(renderFunc, snapshotExclude = NULL)
markOutputAttrs(renderFunc, snapshotExclude = NULL,
snapshotPreprocess = NULL)
}
\arguments{
\item{renderFunc}{A function that is suitable for assigning to a Shiny output
slot.}
\item{snapshotExclude}{If TRUE, exclude the output from test snapshots.}
\item{snapshotPreprocess}{A function for preprocessing the value before
taking a test snapshot.}
}
\description{
Mark a render function with attributes that will be used by the output

View File

@@ -10,7 +10,7 @@ navbarPage(title, ..., id = NULL, selected = NULL,
footer = NULL, inverse = FALSE, collapsible = FALSE, collapsable,
fluid = TRUE, responsive = NULL, theme = NULL, windowTitle = title)
navbarMenu(title, ..., icon = NULL)
navbarMenu(title, ..., menuName = title, icon = NULL)
}
\arguments{
\item{title}{The title to display in the navbar}
@@ -65,6 +65,10 @@ www directory). For example, to use the theme located at
\item{windowTitle}{The title that should be displayed by the browser window.
Useful if \code{title} is not a string.}
\item{menuName}{A name that identifies this \code{navbarMenu}. This
is needed if you want to insert/remove or show/hide an entire
\code{navbarMenu}.}
\item{icon}{Optional icon to appear on a \code{navbarMenu} tab.}
}
\value{
@@ -98,5 +102,6 @@ navbarPage("App Title",
}
\seealso{
\code{\link{tabPanel}}, \code{\link{tabsetPanel}},
\code{\link{updateNavbarPage}}
\code{\link{updateNavbarPage}}, \code{\link{insertTab}},
\code{\link{showTab}}
}

View File

@@ -53,5 +53,6 @@ fluidPage(
)
}
\seealso{
\code{\link{tabPanel}}, \code{\link{updateNavlistPanel}}
\code{\link{tabPanel}}, \code{\link{updateNavlistPanel}},
\code{\link{insertTab}}, \code{\link{showTab}}
}

View File

@@ -34,3 +34,7 @@ These functions should be called within the application's server function.
All of these functions return a function which can be called with no
arguments to cancel the registration.
}
\seealso{
\code{\link{onStop}()} for registering callbacks that will be
invoked when the application exits, or when a session ends.
}

81
man/onStop.Rd Normal file
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@@ -0,0 +1,81 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/shiny.R
\name{onStop}
\alias{onStop}
\title{Run code after an application or session ends}
\usage{
onStop(fun, session = getDefaultReactiveDomain())
}
\arguments{
\item{fun}{A function that will be called after the app has finished running.}
\item{session}{A scope for when the callback will run. If \code{onStop} is
called from within the server function, this will default to the current
session, and the callback will be invoked when the current session ends. If
\code{onStop} is called outside a server function, then the callback will
be invoked with the application exits.}
}
\value{
A function which, if invoked, will cancel the callback.
}
\description{
This function registers callback functions that are invoked when the
application exits (when \code{\link{runApp}} exits), or after each user
session ends (when a client disconnects).
}
\examples{
## Only run this example in interactive R sessions
if (interactive()) {
# Open this application in multiple browsers, then close the browsers.
shinyApp(
ui = basicPage("onStop demo"),
server = function(input, output, session) {
onStop(function() cat("Session stopped\\n"))
},
onStart = function() {
cat("Doing application setup\\n")
onStop(function() {
cat("Doing application cleanup\\n")
})
}
)
}
# In the example above, onStop() is called inside of onStart(). This is
# the pattern that should be used when creating a shinyApp() object from
# a function, or at the console. If instead you are writing an app.R which
# will be invoked with runApp(), you can do it that way, or put the onStop()
# before the shinyApp() call, as shown below.
\dontrun{
# ==== app.R ====
cat("Doing application setup\\n")
onStop(function() {
cat("Doing application cleanup\\n")
})
shinyApp(
ui = basicPage("onStop demo"),
server = function(input, output, session) {
onStop(function() cat("Session stopped\\n"))
}
)
# ==== end app.R ====
# Similarly, if you have a global.R, you can call onStop() from there.
# ==== global.R ====
cat("Doing application setup\\n")
onStop(function() {
cat("Doing application cleanup\\n")
})
# ==== end global.R ====
}
}
\seealso{
\code{\link{onSessionEnded}()} for the same functionality, but at
the session level only.
}

View File

@@ -15,25 +15,26 @@ radioButtons(inputId, label, choices = NULL, selected = NULL,
\item{choices}{List of values to select from (if elements of the list are
named then that name rather than the value is displayed to the user). If
this argument is provided, then \code{choiceNames} and \code{choiceValues}
must not be provided, and vice-versa.}
must not be provided, and vice-versa. The values should be strings; other
types (such as logicals and numbers) will be coerced to strings.}
\item{selected}{The initially selected value (if not specified then
defaults to the first value)}
\item{selected}{The initially selected value (if not specified then defaults
to the first value)}
\item{inline}{If \code{TRUE}, render the choices inline (i.e. horizontally)}
\item{width}{The width of the input, e.g. \code{'400px'}, or \code{'100\%'};
see \code{\link{validateCssUnit}}.}
\item{choiceNames, choiceValues}{List of names and values, respectively,
that are displayed to the user in the app and correspond to the each
choice (for this reason, \code{choiceNames} and \code{choiceValues}
must have the same length). If either of these arguments is
provided, then the other \emph{must} be provided and \code{choices}
\emph{must not} be provided. The advantage of using both of these over
a named list for \code{choices} is that \code{choiceNames} allows any
type of UI object to be passed through (tag objects, icons, HTML code,
...), instead of just simple text. See Examples.}
\item{choiceNames, choiceValues}{List of names and values, respectively, that
are displayed to the user in the app and correspond to the each choice (for
this reason, \code{choiceNames} and \code{choiceValues} must have the same
length). If either of these arguments is provided, then the other
\emph{must} be provided and \code{choices} \emph{must not} be provided. The
advantage of using both of these over a named list for \code{choices} is
that \code{choiceNames} allows any type of UI object to be passed through
(tag objects, icons, HTML code, ...), instead of just simple text. See
Examples.}
}
\value{
A set of radio buttons that can be added to a UI definition.
@@ -43,11 +44,10 @@ Create a set of radio buttons used to select an item from a list.
}
\details{
If you need to represent a "None selected" state, it's possible to default
the radio buttons to have no options selected by using
\code{selected = character(0)}. However, this is not recommended, as it gives
the user no way to return to that state once they've made a selection.
Instead, consider having the first of your choices be \code{c("None selected"
= "")}.
the radio buttons to have no options selected by using \code{selected =
character(0)}. However, this is not recommended, as it gives the user no way
to return to that state once they've made a selection. Instead, consider
having the first of your choices be \code{c("None selected" = "")}.
}
\examples{
## Only run examples in interactive R sessions

View File

@@ -57,9 +57,22 @@ will be executed in a reactive context; therefore, they may read reactive
values and reactive expressions.
}
\examples{
# Assume the existence of readTimestamp and readValue functions
function(input, output, session) {
data <- reactivePoll(1000, session, readTimestamp, readValue)
data <- reactivePoll(1000, session,
# This function returns the time that log_file was last modified
checkFunc = function() {
if (file.exists(log_file))
file.info(log_file)$mtime[1]
else
""
},
# This function returns the content of log_file
valueFunc = function() {
read.csv(log_file)
}
)
output$dataTable <- renderTable({
data()
})

20
man/setSerializer.Rd Normal file
View File

@@ -0,0 +1,20 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/serializers.R
\name{setSerializer}
\alias{setSerializer}
\title{Add a function for serializing an input before bookmarking application state}
\usage{
setSerializer(inputId, fun, session = getDefaultReactiveDomain())
}
\arguments{
\item{inputId}{Name of the input value.}
\item{fun}{A function that takes the input value and returns a modified
value. The returned value will be used for the test snapshot.}
\item{session}{A Shiny session object.}
}
\description{
Add a function for serializing an input before bookmarking application state
}
\keyword{internal}

View File

@@ -8,7 +8,7 @@
\description{
Shiny makes it incredibly easy to build interactive web applications with R.
Automatic "reactive" binding between inputs and outputs and extensive
pre-built widgets make it possible to build beautiful, responsive, and
prebuilt widgets make it possible to build beautiful, responsive, and
powerful applications with minimal effort.
}
\details{

85
man/showTab.Rd Normal file
View File

@@ -0,0 +1,85 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/insert-tab.R
\name{showTab}
\alias{showTab}
\alias{hideTab}
\title{Dynamically hide/show a tabPanel}
\usage{
showTab(inputId, target, select = FALSE,
session = getDefaultReactiveDomain())
hideTab(inputId, target, session = getDefaultReactiveDomain())
}
\arguments{
\item{inputId}{The \code{id} of the \code{tabsetPanel} (or
\code{navlistPanel} or \code{navbarPage}) in which to find
\code{target}.}
\item{target}{The \code{value} of the \code{tabPanel} to be
hidden/shown. See Details if you want to hide/show an entire
\code{navbarMenu} instead.}
\item{select}{Should \code{target} be selected upon being shown?}
\item{session}{The shiny session within which to call this function.}
}
\description{
Dynamically hide or show a \code{\link{tabPanel}} (or a
\code{\link{navbarMenu}})from an existing \code{\link{tabsetPanel}},
\code{\link{navlistPanel}} or \code{\link{navbarPage}}.
}
\details{
For \code{navbarPage}, you can hide/show conventional
\code{tabPanel}s (whether at the top level or nested inside a
\code{navbarMenu}), as well as an entire \code{\link{navbarMenu}}.
For the latter case, \code{target} should be the \code{menuName} that
you gave your \code{navbarMenu} when you first created it (by default,
this is equal to the value of the \code{title} argument).
}
\examples{
## Only run this example in interactive R sessions
if (interactive()) {
ui <- navbarPage("Navbar page", id = "tabs",
tabPanel("Home",
actionButton("hideTab", "Hide 'Foo' tab"),
actionButton("showTab", "Show 'Foo' tab"),
actionButton("hideMenu", "Hide 'More' navbarMenu"),
actionButton("showMenu", "Show 'More' navbarMenu")
),
tabPanel("Foo", "This is the foo tab"),
tabPanel("Bar", "This is the bar tab"),
navbarMenu("More",
tabPanel("Table", "Table page"),
tabPanel("About", "About page"),
"------",
"Even more!",
tabPanel("Email", "Email page")
)
)
server <- function(input, output, session) {
observeEvent(input$hideTab, {
hideTab(inputId = "tabs", target = "Foo")
})
observeEvent(input$showTab, {
showTab(inputId = "tabs", target = "Foo")
})
observeEvent(input$hideMenu, {
hideTab(inputId = "tabs", target = "More")
})
observeEvent(input$showMenu, {
showTab(inputId = "tabs", target = "More")
})
}
shinyApp(ui, server)
}
}
\seealso{
\code{\link{insertTab}}
}

View File

@@ -1,5 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/shiny.R
% Please edit documentation in R/snapshot.R
\name{snapshotExclude}
\alias{snapshotExclude}
\title{Mark an output to be excluded from test snapshots}

View File

@@ -0,0 +1,19 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/snapshot.R
\name{snapshotPreprocessInput}
\alias{snapshotPreprocessInput}
\title{Add a function for preprocessing an input before taking a test snapshot}
\usage{
snapshotPreprocessInput(inputId, fun, session = getDefaultReactiveDomain())
}
\arguments{
\item{inputId}{Name of the input value.}
\item{fun}{A function that takes the input value and returns a modified
value. The returned value will be used for the test snapshot.}
\item{session}{A Shiny session object.}
}
\description{
Add a function for preprocessing an input before taking a test snapshot
}

View File

@@ -0,0 +1,17 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/snapshot.R
\name{snapshotPreprocessOutput}
\alias{snapshotPreprocessOutput}
\title{Add a function for preprocessing an output before taking a test snapshot}
\usage{
snapshotPreprocessOutput(x, fun)
}
\arguments{
\item{x}{A reactive which will be assigned to an output.}
\item{fun}{A function that takes the output value as an input and returns a
modified value. The returned value will be used for the test snapshot.}
}
\description{
Add a function for preprocessing an output before taking a test snapshot
}

View File

@@ -44,5 +44,6 @@ mainPanel(
)
}
\seealso{
\code{\link{tabPanel}}, \code{\link{updateTabsetPanel}}
\code{\link{tabPanel}}, \code{\link{updateTabsetPanel}},
\code{\link{insertTab}}, \code{\link{showTab}}
}

View File

@@ -19,7 +19,8 @@ updateCheckboxGroupInput(session, inputId, label = NULL, choices = NULL,
\item{choices}{List of values to show checkboxes for. If elements of the list
are named then that name rather than the value is displayed to the user. If
this argument is provided, then \code{choiceNames} and \code{choiceValues}
must not be provided, and vice-versa.}
must not be provided, and vice-versa. The values should be strings; other
types (such as logicals and numbers) will be coerced to strings.}
\item{selected}{The values that should be initially selected, if any.}

View File

@@ -19,32 +19,33 @@ updateRadioButtons(session, inputId, label = NULL, choices = NULL,
\item{choices}{List of values to select from (if elements of the list are
named then that name rather than the value is displayed to the user). If
this argument is provided, then \code{choiceNames} and \code{choiceValues}
must not be provided, and vice-versa.}
must not be provided, and vice-versa. The values should be strings; other
types (such as logicals and numbers) will be coerced to strings.}
\item{selected}{The initially selected value (if not specified then
defaults to the first value)}
\item{selected}{The initially selected value (if not specified then defaults
to the first value)}
\item{inline}{If \code{TRUE}, render the choices inline (i.e. horizontally)}
\item{choiceNames}{List of names and values, respectively,
that are displayed to the user in the app and correspond to the each
choice (for this reason, \code{choiceNames} and \code{choiceValues}
must have the same length). If either of these arguments is
provided, then the other \emph{must} be provided and \code{choices}
\emph{must not} be provided. The advantage of using both of these over
a named list for \code{choices} is that \code{choiceNames} allows any
type of UI object to be passed through (tag objects, icons, HTML code,
...), instead of just simple text. See Examples.}
\item{choiceNames}{List of names and values, respectively, that
are displayed to the user in the app and correspond to the each choice (for
this reason, \code{choiceNames} and \code{choiceValues} must have the same
length). If either of these arguments is provided, then the other
\emph{must} be provided and \code{choices} \emph{must not} be provided. The
advantage of using both of these over a named list for \code{choices} is
that \code{choiceNames} allows any type of UI object to be passed through
(tag objects, icons, HTML code, ...), instead of just simple text. See
Examples.}
\item{choiceValues}{List of names and values, respectively,
that are displayed to the user in the app and correspond to the each
choice (for this reason, \code{choiceNames} and \code{choiceValues}
must have the same length). If either of these arguments is
provided, then the other \emph{must} be provided and \code{choices}
\emph{must not} be provided. The advantage of using both of these over
a named list for \code{choices} is that \code{choiceNames} allows any
type of UI object to be passed through (tag objects, icons, HTML code,
...), instead of just simple text. See Examples.}
\item{choiceValues}{List of names and values, respectively, that
are displayed to the user in the app and correspond to the each choice (for
this reason, \code{choiceNames} and \code{choiceValues} must have the same
length). If either of these arguments is provided, then the other
\emph{must} be provided and \code{choices} \emph{must not} be provided. The
advantage of using both of these over a named list for \code{choices} is
that \code{choiceNames} allows any type of UI object to be passed through
(tag objects, icons, HTML code, ...), instead of just simple text. See
Examples.}
}
\description{
Change the value of a radio input on the client

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