Package: volker 3.3.1.9000

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], Sophia Rinne [ctb]

volker_3.3.1.9000.tar.gz
volker_3.3.1.9000.zip(r-4.7)volker_3.3.1.9000.zip(r-4.6)volker_3.3.1.9000.zip(r-4.5)
volker_3.3.1.9000.tgz(r-4.6-any)volker_3.3.1.9000.tgz(r-4.5-any)
volker_3.3.1.9000.tar.gz(r-4.7-any)volker_3.3.1.9000.tar.gz(r-4.6-any)
volker_3.3.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs site:https://strohne.github.io

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

On CRAN:

Conda:

7.32 score 5 stars 200 scripts 204 downloads 86 exports 108 dependencies

Last updated from:b786d20d84. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK365
source / vignettesOK250
linux-release-x86_64OK385
macos-release-arm64OK267
macos-oldrel-arm64OK297
windows-develOK288
windows-releaseOK293
windows-oldrelOK261
wasm-releaseOK197

Exports:%>%add_clustersadd_factorsadd_indexadd_modelagree_tabcluster_plotcluster_tabcodebookdata_cleandata_clean_defaultdata_preparediagnostics_cooksddiagnostics_qqdiagnostics_resid_fitteddiagnostics_scale_locationeffect_countseffect_counts_itemseffect_counts_items_groupedeffect_counts_items_grouped_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_tabmodel_plotmodel_tabmutatepdf_reportplot_countsplot_counts_itemsplot_counts_items_corplot_counts_items_groupedplot_counts_items_grouped_itemsplot_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:abindbackportsbase64encbayestestRbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11datawizardDerivdigestdoBydplyreffectsizeevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2glueGPArotationgtableheplotshighrhtmltoolshtmlwidgetsinsightisobandjquerylibjsonlitekableExtraknitrlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamnormtmodelrnlmenloptrnnetnumDerivparameterspbkrtestperformancepillarpkgconfigpsychpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrglrlangrmarkdownrstudioapiS7sassscalesSparseMstringistringrsurvivalsvglitesystemfontstextshapingtibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunxml2yamlzoo

Introduction

Rendered fromintroduction.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2026-01-10
Started: 2023-09-30