Package: teal.modules.general 0.3.0.9051
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:
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teal.modules.general.pdf |teal.modules.general.html✨
teal.modules.general/json (API)
NEWS
| # 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
general-purposemodulesnestshiny
Last updated 10 days agofrom:643644eb0d. Checks:OK: 7. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 07 2024 |
| R-4.5-win | OK | Oct 07 2024 |
| R-4.5-linux | OK | Oct 07 2024 |
| R-4.4-win | OK | Oct 07 2024 |
| R-4.4-mac | OK | Oct 07 2024 |
| R-4.3-win | OK | Oct 07 2024 |
| R-4.3-mac | OK | Oct 07 2024 |
Exports:add_facet_labelsget_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_t_crosstabletm_variable_browser
Dependencies:abindaskpassbackportsbase64encbootbroombslibcachemcarcarDatacheckmateclicolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDerivdigestdoBydplyrDTemmeansestimabilityevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforcatsformattersFormulafsgdtoolsgenericsggmosaicggplot2ggrepelgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4loggermagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivofficeropensslpbkrtestpillarpkgconfigplotlyplyrproductplotspromisespurrrquantregR.cacheR.methodsS3R.ooR.utilsR6raggrappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackrlangrlistingsrmarkdownrprojrootrtablessassscalesshinyshinybusyshinycssloadersshinyjsshinyTreeshinyvalidateshinyWidgetssourcetoolsSparseMstringistringrstylersurvivalsyssystemfontstealteal.codeteal.datateal.loggerteal.reporterteal.sliceteal.transformteal.widgetsterntextshapingtibbletidyrtidyselecttinytexutf8uuidvctrsviridisLitewithrxfunxml2xtableyamlzip
Getting started with teal.modules.general
Rendered fromteal-modules-general.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2022-04-07
Using association plot
Rendered fromusing-association-plot.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2019-09-06
Using bivariate plot
Rendered fromusing-bivariate-plot.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2019-09-06
Using cross table
Rendered fromusing-cross-table.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2019-09-06
Using data table
Rendered fromusing-data-table.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2022-09-14
Using outliers module
Rendered fromusing-outliers-module.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2021-02-28
Using regression plots
Rendered fromusing-regression-plots.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2019-09-06
Using response plot
Rendered fromusing-response-plot.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2019-09-06
Using scatterplot
Rendered fromusing-scatterplot.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
Started: 2019-09-06
Using scatterplot matrix
Rendered fromusing-scatterplot-matrix.Rmdusingknitr::rmarkdownon Oct 07 2024.Last update: 2024-10-07
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: Cross-table | tm_t_crosstable |
| 'teal' module: Variable browser | tm_variable_browser |
