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

Usage

effect_metrics_one_cor(
  data,
  col,
  cross,
  method = "pearson",
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data

A tibble.

col

The column holding metric values.

cross

The column holding metric values to correlate.

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 the requested statistics.

Examples

library(volker)
data <- volker::chatgpt

effect_metrics_one_cor(data, sd_age, use_private, metric = TRUE)
#> 
#> 
#> |Statistic   | value|
#> |:-----------|-----:|
#> |R squared   |  0.03|
#> |n           |   101|
#> |Pearson's r | -0.19|
#> |ci low      | -0.37|
#> |ci high     |  0.01|
#> |df          |    99|
#> |t           | -1.88|
#> |p           | 0.063|
#> |stars       |     .|