Package: teal.modules.general 0.6.0.9028

Dawid Kaledkowski

teal.modules.general: General Modules for 'teal' Applications

Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.

Authors:Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Ondrej Slama [ctb], Maciej Nasinski [aut], Konrad Pagacz [aut], Nikolas Burkoff [aut], F. Hoffmann-La Roche AG [cph, fnd]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
teal.modules.general/json (API)

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

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

Pkgdown/docs site:https://insightsengineering.github.io

On CRAN:

Conda:

general-purposemodulesnestshiny

10.29 score 16 stars 195 scripts 481 downloads 18 exports 190 dependencies

Last updated from:72728b16c6. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK465
source / vignettesOK371
linux-release-x86_64OK477
macos-release-arm64OK286
macos-oldrel-arm64OK237
windows-develOK428
windows-releaseOK417
windows-oldrelOK419
wasm-releaseOK224

Exports:add_facet_labelsgeom_mosaictm_a_pcatm_a_regressiontm_data_tabletm_file_viewertm_front_pagetm_g_associationtm_g_bivariatetm_g_distributiontm_g_responsetm_g_scatterplottm_g_scatterplotmatrixtm_missing_datatm_outlierstm_rmarkdowntm_t_crosstabletm_variable_browser

Dependencies:abindaskpassassertthatbackportsbase64encbigDbitopsbootbroombsiconsbslibcachemcarcarDatacardscardxcaToolscheckmateclicolorspacecolourpickercommonmarkconfintrcowplotcpp11crosstalkcurldata.tableDerivdigestdoBydplyrDTemmeansestimabilityevaluatefarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforcatsforecastformattersFormulafracdifffsgdtoolsgenericsggExtraggplot2ggpmiscggppggrepelgluegoftestgridExtragtgtablegtsummaryhighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonlitejuicyjuiceknitrlabelinglaterlatticelazyevallearnrlifecyclelitedownlme4lmtestloggerlubridatemagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmvtnormnestcolornlmenloptrnnetnumDerivofficeropensslotelpatchworkpbkrtestpillarpkgconfigplotlyplyrpolynompromisespurrrquantregR.cacheR.methodsS3R.ooR.utilsR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreactablereactRreformulasrenvrlangrlistingsrmarkdownrprojrootrtablesrtables.officerrvestS7sassscalesselectrshinyshinybusyshinycssloadersshinyjsshinyTreeshinyvalidateshinyWidgetssortablesourcetoolssparklineSparseMsplus2Rstringistringrstylersurvivalsyssystemfontstealteal.codeteal.datateal.loggerteal.reporterteal.sliceteal.transformteal.widgetsterntextshapingtibbletidyrtidyselecttimechangetimeDatetinytexurcautf8uuidV8vctrsviridisLitewithrxfunxml2xtablextsyamlzipzoo

Decorate Module Output
Introduction | Outputs that can be decorated | Decorating ElementaryTable | Decorating ggplot | Decorating grob | Decorating datatables | Decorating patchwork
Rendered fromdecorate-module-output.Rmdusingknitr::rmarkdown

Last update: 2026-05-08
Started: 2025-02-25

Using scatterplot matrix
teal application to use scatter plot matrix with various datasets types | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-scatterplot-matrix.Rmdusingknitr::rmarkdown

Last update: 2026-05-08
Started: 2019-09-06

Getting started with teal.modules.general
Introduction | Main features | Example application | Try it out in Shinylive
Rendered fromteal-modules-general.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2022-04-07

Using association plot
teal application to use association plot with various datasets types | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-association-plot.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2019-09-06

Using bivariate plot
teal application to use bivariate plot with various datasets types | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-bivariate-plot.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2019-09-06

Using cross table
teal application to use cross table with various datasets types | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-cross-table.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2019-09-06

Using data table
teal application to display data table with various datasets types | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-data-table.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2022-09-14

Using outliers module
teal application to analyze and report outliers with various datasets types. | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-outliers-module.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2021-02-28

Using regression plots
teal application to use regression plot with various datasets types | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-regression-plots.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2019-09-06

Using response plot
teal application to use response plot with various datasets types | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-response-plot.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2019-09-06

Using scatterplot
teal application to use scatter plot with various datasets types | 1 - Load libraries | 2 - Create data sets | 3 - Create an app variable | 4 - Run the app | 5 - Try it out in Shinylive
Rendered fromusing-scatterplot.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2019-09-06