effect_metrics_items_cor {volker}R Documentation

Output correlation coefficients for items

Description

The correlation is calculated using stats::cor.test.

Usage

effect_metrics_items_cor(
  data,
  cols,
  cross,
  negative = FALSE,
  method = "pearson",
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data

A tibble containing item measures.

cols

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

cross

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

negative

If FALSE (default), negative values are recoded as missing values.

method

The output metrics, TRUE or pearson = Pearson's R, spearman = Spearman's rho.

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 effect_metrics.

Value

A volker table containing correlations.

Examples

library(volker)
data <- volker::chatgpt

effect_metrics_items_cor(data, starts_with("cg_adoption_adv"), starts_with("use_"))



[Package volker version 2.0.1 Index]