High-Level Functions for Tabulating, Charting and Reporting Survey Data


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Documentation for package ‘volker’ version 3.0.0

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