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.
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 | .|