Package: volker 2.1.0.9000

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_2.1.0.9000.tar.gz
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volker_2.1.0.9000.tgz(r-4.4-any)volker_2.1.0.9000.tgz(r-4.3-any)
volker_2.1.0.9000.tar.gz(r-4.5-noble)volker_2.1.0.9000.tar.gz(r-4.4-noble)
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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'))

Peer review:

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

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

On CRAN:

7.17 score 3 stars 169 scripts 201 downloads 66 exports 97 dependencies

Last updated 1 months agofrom:02a96f773e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:%>%codebookdata_cleandata_clean_soscidata_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_withfilterhtml_reportidx_addlabs_applylabs_clearlabs_restorelabs_storemutatepdf_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:abindbackportsbase64encbayestestRbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11datawizardDerivdigestdoBydplyreffectsizeevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2glueGPArotationgtablehighrhtmltoolsinsightisobandjquerylibjsonlitekableExtraknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamnormtmodelrmunsellnlmenloptrnnetnumDerivparameterspbkrtestperformancepillarpkgconfigpsychpurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreprrlangrmarkdownrstudioapisassscalesskimrSparseMstringistringrsurvivalsvglitesystemfontstibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxml2yaml

Introduction

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2024-10-15
Started: 2023-09-30