Package: volker 3.0.0.9000

volker: High-Level Functions for Tabulating, Charting and Reporting Survey Data

Craft polished tables and plots in Markdown reports. Simply choose whether to treat your data as counts or metrics, and the package will automatically generate well-designed default tables and plots for you. Boiled down to the basics, with labeling features and simple interactive reports. All functions are 'tidyverse' compatible.

Authors:Jakob Jünger [aut, cre, cph], Henrieke Kotthoff [aut, ctb], Chantal Gärtner [ctb]

volker_3.0.0.9000.tar.gz
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volker.pdf |volker.html✨
volker/json (API)
NEWS

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

Bug tracker:https://github.com/strohne/volker/issues

Pkgdown site:https://strohne.github.io

Datasets:
  • chatgpt - ChatGPT Adoption Dataset CG-GE-APR23

On CRAN:

7.10 score 4 stars 125 scripts 271 downloads 75 exports 103 dependencies

Last updated 2 days agofrom:1735101f82. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 16 2025
R-4.5-winOKFeb 16 2025
R-4.5-macOKFeb 16 2025
R-4.5-linuxOKFeb 16 2025
R-4.4-winOKFeb 16 2025
R-4.4-macOKFeb 16 2025
R-4.3-winOKFeb 16 2025
R-4.3-macOKFeb 16 2025

Exports:%>%add_clustersadd_factorsadd_indexcluster_plotcluster_tabcodebookdata_cleandata_clean_defaultdata_prepareeffect_countseffect_counts_itemseffect_counts_oneeffect_counts_one_groupedeffect_metricseffect_metrics_itemseffect_metrics_items_coreffect_metrics_items_cor_itemseffect_metrics_items_groupedeffect_metrics_oneeffect_metrics_one_coreffect_metrics_one_groupedends_withfactor_plotfactor_tabfilterhtml_reportidx_addlabs_applylabs_clearlabs_restorelabs_storemodel_metrics_plotmodel_metrics_tabmutatepdf_reportplot_countsplot_counts_itemsplot_counts_items_corplot_counts_items_groupedplot_counts_oneplot_counts_one_corplot_counts_one_groupedplot_metricsplot_metrics_itemsplot_metrics_items_corplot_metrics_items_cor_itemsplot_metrics_items_groupedplot_metrics_oneplot_metrics_one_corplot_metrics_one_groupedreport_countsreport_metricsselectskim_metricsstarts_withtab_countstab_counts_itemstab_counts_items_cortab_counts_items_groupedtab_counts_onetab_counts_one_cortab_counts_one_groupedtab_metricstab_metrics_itemstab_metrics_items_cortab_metrics_items_cor_itemstab_metrics_items_groupedtab_metrics_onetab_metrics_one_cortab_metrics_one_groupedtheme_settheme_vlkrtibbletribble

Dependencies:abindbackportsbase64encbayestestRbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11datawizardDerivdigestdoBydplyreffectsizeevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2glueGPArotationgtableheplotshighrhtmltoolshtmlwidgetsinsightisobandjquerylibjsonlitekableExtraknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamnormtmodelrmunsellnlmenloptrnnetnumDerivparameterspbkrtestperformancepillarpkgconfigpsychpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasreprrglrlangrmarkdownrstudioapisassscalesskimrSparseMstringistringrsurvivalsvglitesystemfontstibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxml2yaml

Introduction

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Feb 16 2025.

Last update: 2025-02-16
Started: 2023-09-30