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:
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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
- chatgpt - ChatGPT Adoption Dataset CG-GE-APR23
Last updated 16 days agofrom:02a96f773e. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 21 2024 |
R-4.5-win | OK | Oct 21 2024 |
R-4.5-linux | OK | Oct 21 2024 |
R-4.4-win | OK | Oct 21 2024 |
R-4.4-mac | OK | Oct 21 2024 |
R-4.3-win | OK | Oct 21 2024 |
R-4.3-mac | OK | Oct 21 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
Readme and manuals
Help Manual
Help page | Topics |
---|---|
ChatGPT Adoption Dataset CG-GE-APR23 | chatgpt |
Get variable labels from their comment attributes | 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 |
Calculate the mean value of multiple items | idx_add |
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 |