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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".

Value

A ggplot object with a heatmap of mean score ratios from pairwise comparisons.

Examples

library(ggplot2)
library(magrittr) # pipe operator
scores <- example_quantile %>%
  as_forecast_quantile %>%
  score()
#>  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)