volker (version 3.1.0)

tab_counts_items_cor: Compare the values in multiple items by a metric column that will be split into groups

Description

Compare the values in multiple items by a metric column that will be split into groups

Usage

tab_counts_items_cor(
  data,
  cols,
  cross,
  category = NULL,
  split = NULL,
  percent = TRUE,
  values = c("n", "p"),
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

Value

A volker tibble.

Arguments

data

A tibble containing item measures.

cols

Tidyselect item variables (e.g. starts_with...).

cross

A metric column that will be split into groups at the median value.

category

Summarizing multiple items (the cols parameter) by group requires a focus category. By default, for logical column types, only TRUE values are counted. For other column types, the first category is counted. Accepts both character and numeric vectors to override default counting behavior.

split

Not implemented yet.

percent

Proportions are formatted as percent by default. Set to FALSE to get bare proportions.

values

The values to output: n (frequency) or p (percentage) or both (the default).

title

If TRUE (default) shows a plot title derived from the column labels. Disable the title with FALSE or provide a custom title as character value.

labels

If TRUE (default) extracts labels from the attributes, see codebook.

clean

Prepare data by data_clean.

...

Placeholder to allow calling the method with unused parameters from plot_counts.

Examples

library(volker)
data <- volker::chatgpt
tab_counts_items_cor(
  data, starts_with("cg_adoption_"), sd_age,
  category=c("agree", "strongly agree")
)