Create plot from permutation_test(). — plot_permutation

Plots results of a permutation test carried out with the permutation_test() function. Now use either correlation_test() or pca_test() and the associated plotting functions.

Usage

plot_permutation_test(permutation_results, violin = FALSE)

Arguments

permutation_results: object of class permutation_results.
violin: Determines whether the variances explained are depicted by distinct violin plots for each PC or by connected lines. the advantage of lines is that they correctly indicate that values for each PC depend on one another within a given permutation. That is, if an earlier PC soaks up a lot of the variation in a data set, then there is less variation left to explain by subsequent PCs. Default value is FALSE.

Value

ggplot object.

Examples

onze_perm <- permutation_test(
  onze_intercepts |> dplyr::select(-speaker),
  pc_n = 5,
  n = 10,
  scale = TRUE,
  cor.method = 'pearson'
 )
plot_permutation_test(onze_perm)