Introduction | Outputs that can be decorated | Decorating ElementaryTable | Decorating ggplot | Decorating grob | Decorating datatables | Decorating trellis
Package: teal.modules.general 0.6.0
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:
teal.modules.general_0.6.0.tar.gz
teal.modules.general_0.6.0.zip(r-4.7)teal.modules.general_0.6.0.zip(r-4.6)teal.modules.general_0.6.0.zip(r-4.5)
teal.modules.general_0.6.0.tgz(r-4.6-any)teal.modules.general_0.6.0.tgz(r-4.5-any)
teal.modules.general_0.6.0.tar.gz(r-4.7-any)teal.modules.general_0.6.0.tar.gz(r-4.6-any)
teal.modules.general_0.6.0.tgz(r-4.6-emscripten)
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://insightsengineering.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
general-purposemodulesnestshiny
Last updated from:3976fc5c8d (on v0.6.0). Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 218 | ||
| source / vignettes | OK | 304 | ||
| linux-release-x86_64 | OK | 224 | ||
| macos-release-arm64 | OK | 134 | ||
| macos-oldrel-arm64 | OK | 131 | ||
| windows-devel | OK | 153 | ||
| windows-release | OK | 137 | ||
| windows-oldrel | OK | 154 | ||
| wasm-release | OK | 167 |
Exports:add_facet_labelsgeom_mosaicget_scatterplotmatrix_statstm_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.tableDerivdigestdoBydplyrDTemmeansestimabilityevaluatefarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforcatsforecastformattersFormulafracdifffsgdtoolsgenericsggExtraggplot2ggpmiscggppggrepelgluegoftestgridExtragtgtablegtsummaryhighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonlitejuicyjuiceknitrlabelinglaterlatticelazyevallearnrlifecyclelitedownlme4lmtestloggerlubridatemagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmvtnormnestcolornlmenloptrnnetnumDerivofficeropensslotelpbkrtestpillarpkgconfigplotlyplyrpolynompromisespurrrquantregR.cacheR.methodsS3R.ooR.utilsR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreactablereactRreformulasrenvrlangrlistingsrmarkdownrprojrootrtablesrtables.officerrvestS7sassscalesselectrshinyshinybusyshinycssloadersshinyjsshinyTreeshinyvalidateshinyWidgetssortablesourcetoolssparklineSparseMsplus2Rstringistringrstylersurvivalsyssystemfontstealteal.codeteal.datateal.loggerteal.reporterteal.sliceteal.transformteal.widgetsterntextshapingtibbletidyrtidyselecttimechangetimeDatetinytexurcautf8uuidV8vctrsviridisLitewithrxfunxml2xtablextsyamlzipzoo
Decorate Module Output
Last update: 2025-02-25
Started: 2025-02-25
Getting started with teal.modules.general
Introduction | Main features | Example application | Try it out in Shinylive
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
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
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
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
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
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
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
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
Last update: 2025-02-03
Started: 2019-09-06
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
Last update: 2025-02-03
Started: 2019-09-06
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Add labels for facets to a 'ggplot2' object | add_facet_labels |
| Get stats for x-y pairs in scatterplot matrix | get_scatterplotmatrix_stats |
| 'teal' module: Principal component analysis | tm_a_pca |
| 'teal' module: Scatterplot and regression analysis | tm_a_regression |
| 'teal' module: Data table viewer | tm_data_table |
| 'teal' module: File viewer | tm_file_viewer |
| 'teal' module: Front page | tm_front_page |
| 'teal' module: Stack plots of variables and show association with reference variable | tm_g_association |
| 'teal' module: Univariate and bivariate visualizations | tm_g_bivariate |
| 'teal' module: Distribution analysis | tm_g_distribution |
| 'teal' module: Response plot | tm_g_response |
| 'teal' module: Scatterplot | tm_g_scatterplot |
| 'teal' module: Scatterplot matrix | tm_g_scatterplotmatrix |
| 'teal' module: Missing data analysis | tm_missing_data |
| 'teal' module: Outliers analysis | tm_outliers |
| 'teal' module: R Markdown render | tm_rmarkdown |
| 'teal' module: Cross-table | tm_t_crosstable |
| 'teal' module: Variable browser | tm_variable_browser |
