Package: teal.modules.general 0.3.0
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_0.3.0.tar.gz
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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://insightsengineering.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/insightsengineering/teal.modules.general/issues
general-purposemodulesnestshiny
Last updated 9 months agofrom:c57c2b83ca (on v0.3.0). Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 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.utilsR6raggrappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackrlangrmarkdownrprojrootrtablessassscalesshinyshinybusyshinycssloadersshinyjsshinyTreeshinyvalidateshinyWidgetssourcetoolsSparseMstringistringrstylersurvivalsyssystemfontstealteal.codeteal.datateal.loggerteal.reporterteal.sliceteal.transformteal.widgetsterntextshapingtibbletidyrtidyselecttinytexutf8uuidvctrsviridisLitewithrxfunxml2xtableyamlzip
Getting started with teal.modules.general
Rendered fromteal-modules-general.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
Started: 2022-04-07
Using association plot
Rendered fromusing-association-plot.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-05
Started: 2019-09-06
Using bivariate plot
Rendered fromusing-bivariate-plot.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
Started: 2019-09-06
Using cross table
Rendered fromusing-cross-table.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
Started: 2019-09-06
Using data table
Rendered fromusing-data-table.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
Started: 2022-09-14
Using outliers module
Rendered fromusing-outliers-module.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
Started: 2021-02-28
Using regression plots
Rendered fromusing-regression-plots.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
Started: 2019-09-06
Using response plot
Rendered fromusing-response-plot.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
Started: 2019-09-06
Using scatterplot
Rendered fromusing-scatterplot.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
Started: 2019-09-06
Using scatterplot matrix
Rendered fromusing-scatterplot-matrix.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-03-01
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 |