Package: teal 0.15.2.9091

Dawid Kaledkowski

teal: Exploratory Web Apps for Analyzing Clinical Trials Data

A 'shiny' based interactive exploration framework for analyzing clinical trials data. 'teal' currently provides a dynamic filtering facility and different data viewers. 'teal' 'shiny' applications are built using standard 'shiny' modules.

Authors:Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Aleksander Chlebowski [aut], Andre Verissimo [aut], Kartikeya Kirar [aut], Vedha Viyash [aut], Marcin Kosinski [aut], Adrian Waddell [aut], Chendi Liao [rev], Dony Unardi [rev], Nikolas Burkoff [aut], Mahmoud Hallal [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], Tadeusz Lewandowski [aut], F. Hoffmann-La Roche AG [cph, fnd], Maximilian Mordig [ctb]

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teal.pdf |teal.html✨
teal/json (API)
NEWS

# Install 'teal' in R:
install.packages('teal', repos = c('https://pharmaverse.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/insightsengineering/teal/issues

On CRAN:

clinical-trialsnestshinywebapp

12.54 score 184 stars 5 packages 143 scripts 443 downloads 35 exports 111 dependencies

Last updated 5 hours agofrom:c57d6dee63. Checks:OK: 3 NOTE: 4. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winNOTENov 29 2024
R-4.5-linuxNOTENov 29 2024
R-4.4-winOKNov 29 2024
R-4.4-macOKNov 29 2024
R-4.3-winNOTENov 29 2024
R-4.3-macNOTENov 29 2024

Exports:as_tdataas.teal_slicesbuild_app_titleexample_moduleget_code_tdataget_metadatainitlanding_popup_modulemake_teal_transform_servermodulemodulesnew_tdatareport_card_templatereporter_previewer_moduleset_datanamesshow_rcode_modalsrv_tealsrv_teal_with_splashsrv_transform_teal_datatdata2envteal_data_moduleteal_slicesteal_transform_moduleTealReportCardui_tealui_teal_with_splashui_transform_teal_datavalidate_has_datavalidate_has_elementsvalidate_has_variablevalidate_invalidate_inputsvalidate_n_levelsvalidate_no_intersectionvalidate_one_row_per_id

Dependencies:askpassbackportsbase64encbslibcachemcheckmateclicolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverformattersfsgdtoolsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecycleloggermagrittrMASSMatrixmemoisemgcvmimemunsellnlmeofficeropensslpillarpkgconfigplotlypromisespurrrR.cacheR.methodsS3R.ooR.utilsR6raggrappdirsRColorBrewerRcpprlangrlistingsrmarkdownrprojrootrtablesrtables.officersassscalesshinyshinybusyshinycssloadersshinyjsshinyWidgetssourcetoolsstringistringrstylersyssystemfontsteal.codeteal.datateal.loggerteal.reporterteal.sliceteal.widgetstextshapingtibbletidyrtidyselecttinytexutf8uuidvctrsviridisLitewithrxfunxml2xtableyamlzip

Adding Support for Reporting to Custom Modules

NEST CoreDev

Rendered fromadding-support-for-reporting.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-11-08
Started: 2022-06-09

Bootstrap Themes in teal

NEST CoreDev

Rendered frombootstrap-themes-in-teal.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-08-13
Started: 2023-12-08

Creating Custom Modules

NEST CoreDev

Rendered fromcreating-custom-modules.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-11-08
Started: 2022-06-09

Customizing Module Output

NEST CoreDev

Rendered fromdecorate-module-output.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-11-29
Started: 2024-11-29

Data as shiny Module

NEST CoreDev

Rendered fromdata-as-shiny-module.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-11-08
Started: 2023-11-13

Data Transformations as shiny Module

NEST CoreDev

Rendered fromdata-transform-as-shiny-module.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-11-29
Started: 2024-08-13

Filter Panel

NEST CoreDev

Rendered fromfilter-panel.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-02-06
Started: 2023-07-14

Getting Started with teal

NEST CoreDev

Rendered fromgetting-started-with-teal.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-03-08
Started: 2023-12-08

Including Data in teal Applications

NEST CoreDev

Rendered fromincluding-data-in-teal-applications.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-11-08
Started: 2023-12-08

Modifying a teal Application With R Options

NEST CoreDev

Rendered fromteal-options.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-09-23
Started: 2022-06-09

Readme and manuals

Help Manual

Help pageTopics
Build app title with faviconbuild_app_title
An example 'teal' moduleexample_module
Create the server and UI function for the 'shiny' appinit
Landing popup modulelanding_popup_module
Make teal_transform_module's servermake_teal_transform_server
'teal' main modulemodule_teal srv_teal ui_teal
UI and server modules of 'teal'module_teal_with_splash srv_teal_with_splash ui_teal_with_splash
Module to transform 'reactive' 'teal_data'module_transform_data srv_transform_teal_data ui_transform_teal_data
Template function for 'TealReportCard' creation and customizationreport_card_template
Create a 'teal' module for previewing a reportreporter_previewer_module
Show 'R' code modalshow_rcode_modal
Create a 'tdata' objectas_tdata get_code_tdata get_metadata join_keys.tdata new_tdata tdata tdata2env
Data module for 'teal' applicationseval_code eval_code,teal_data_module,character-method eval_code,teal_data_module,expression-method eval_code,teal_data_module,language-method teal_data_module within within.teal_data_module
Create 'teal_module' and 'teal_modules' objectsformat.teal_module format.teal_modules module modules print.teal_module print.teal_modules set_datanames teal_module teal_modules
Data module for 'teal' transformations and output customizationteal_transform_module
'TealReportCard'TealReportCard
Validate that dataset has a minimum number of observationsvalidate_has_data
Validates that vector has length greater than 0validate_has_elements
Validates that dataset contains specific variablevalidate_has_variable
Validates that vector includes all expected valuesvalidate_in
Send input validation messages to outputvalidate_inputs
Validate that variables has expected number of levelsvalidate_n_levels
Validates no intersection between two vectorsvalidate_no_intersection
Validate that dataset has unique rows for key variablesvalidate_one_row_per_id