Creates a heatmap of the ratios or pvalues from a pairwise comparison between models.
Usage
plot_pairwise_comparisons(
comparison_result,
type = c("mean_scores_ratio", "pval")
)
Arguments
- comparison_result
A data.frame as produced by
get_pairwise_comparisons()
.- type
Character vector of length one that is either "mean_scores_ratio" or "pval". This denotes whether to visualise the ratio or the p-value of the pairwise comparison. Default is "mean_scores_ratio".
Examples
library(ggplot2)
library(magrittr) # pipe operator
scores <- example_quantile %>%
as_forecast_quantile %>%
score()
#> ℹ Some rows containing NA values may be removed. This is fine if not
#> unexpected.
pairwise <- get_pairwise_comparisons(scores, by = "target_type")
plot_pairwise_comparisons(pairwise, type = "mean_scores_ratio") +
facet_wrap(~target_type)