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:

Conda:

7.18 score 5 stars 125 scripts 189 downloads 75 exports 103 dependencies

Last updated 13 hours agofrom:6b4ddb508f. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-winNOTEMar 30 2025
R-4.5-macNOTEMar 30 2025
R-4.5-linuxNOTEMar 30 2025
R-4.4-winNOTEMar 30 2025
R-4.4-macNOTEMar 30 2025
R-4.4-linuxNOTEMar 30 2025
R-4.3-winOKMar 30 2025
R-4.3-macOKMar 30 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 Mar 30 2025.

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