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
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volker_3.3.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
volker/json (API)

# 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:

7.32 score 5 stars 200 scripts 415 downloads 86 exports 107 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	388
source / vignettes	OK	317
linux-release-x86_64	OK	376
macos-release-arm64	OK	303
macos-oldrel-arm64	OK	362
windows-devel	OK	318
windows-release	OK	287
windows-oldrel	OK	297
wasm-release	OK	218

Exports:%>%add_clusters add_factors add_index add_model agree_tab cluster_plot cluster_tab codebook data_clean data_clean_default data_prepare diagnostics_cooksd diagnostics_qq diagnostics_resid_fitted diagnostics_scale_location effect_counts effect_counts_items effect_counts_items_grouped effect_counts_items_grouped_items effect_counts_one effect_counts_one_grouped effect_metrics effect_metrics_items effect_metrics_items_cor effect_metrics_items_cor_items effect_metrics_items_grouped effect_metrics_one effect_metrics_one_cor effect_metrics_one_grouped ends_with factor_plot factor_tab filter html_report idx_add labs_apply labs_clear labs_restore labs_store model_metrics_plot model_metrics_tab model_plot model_tab mutate pdf_report plot_counts plot_counts_items plot_counts_items_cor plot_counts_items_grouped plot_counts_items_grouped_items plot_counts_one plot_counts_one_cor plot_counts_one_grouped plot_metrics plot_metrics_items plot_metrics_items_cor plot_metrics_items_cor_items plot_metrics_items_grouped plot_metrics_one plot_metrics_one_cor plot_metrics_one_grouped report_counts report_metrics select skim_metrics starts_with tab_counts tab_counts_items tab_counts_items_cor tab_counts_items_grouped tab_counts_one tab_counts_one_cor tab_counts_one_grouped tab_metrics tab_metrics_items tab_metrics_items_cor tab_metrics_items_cor_items tab_metrics_items_grouped tab_metrics_one tab_metrics_one_cor tab_metrics_one_grouped theme_set theme_vlkr tibble tribble

Dependencies:abind backports base64enc bayestestR boot broom bslib cachem car carData cli colorspace cowplot cpp11 datawizard Deriv digest doBy dplyr effectsize evaluate farver fastmap fontawesome forecast Formula fracdiff fs generics ggplot2 glue GPArotation gtable heplots highr htmltools htmlwidgets insight isoband jquerylib jsonlite kableExtra knitr labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv mime minqa mnormt modelr nlme nloptr nnet numDeriv parameters pbkrtest performance pillar pkgconfig psych purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rgl rlang rmarkdown rstudioapi S7 sass scales SparseM stringi stringr survival svglite systemfonts textshaping tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridisLite withr xfun xml2 yaml zoo

Introduction

Rendered fromintroduction.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add cluster number to a data frame	add_clusters
Add PCA columns along with summary statistics (KMO and Bartlett test) to a data frame	add_factors
Calculate the mean value of multiple items	add_index
ChatGPT Adoption Dataset CG-GE-APR23	chatgpt
Get variable and value labels from a data set	codebook
Output effect sizes and test statistics for count data	effect_counts
Output effect sizes and test statistics for metric data	effect_metrics
Volker style HTML document format	html_report
Set column and value labels	labs_apply
Remove all comments from the selected columns	labs_clear
Restore labels from the codebook store in the codebook attribute.	labs_restore
Get the current codebook and store it in the codebook attribute.	labs_store
Volker style PDF document format	pdf_report
Output a frequency plot	plot_counts
Output a plot with distribution parameters such as the mean values	plot_metrics
Create table and plot for categorical variables	report_counts
Create table and plot for metric variables	report_metrics
Output a frequency table	tab_counts
Output a table with distribution parameters	tab_metrics
Define a default theme for volker plots	theme_vlkr