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The correlation is calculated using stats::cor.test.
stats::cor.test
effect_metrics_one_cor( data, col, cross, method = "pearson", labels = TRUE, clean = TRUE, ... )
A volker table containing the requested statistics.
A tibble.
The column holding metric values.
The column holding metric values to correlate.
The output metrics, TRUE or pearson = Pearson's R, spearman = Spearman's rho.
If TRUE (default) extracts labels from the attributes, see codebook.
Prepare data by data_clean.
Placeholder to allow calling the method with unused parameters from effect_metrics.
library(volker) data <- volker::chatgpt effect_metrics_one_cor(data, sd_age, use_private, metric = TRUE)
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