Creates a heatmap of the ratios or pvalues from a pairwise comparison between models

## Usage

```
plot_pairwise_comparison(
comparison_result,
type = c("mean_scores_ratio", "pval")
)
```

## Arguments

- comparison_result
A data.frame as produced by

`pairwise_comparison()`

- 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)
scores <- score(example_quantile)
#> The following messages were produced when checking inputs:
#> 1. 144 values for `prediction` are NA in the data provided and the corresponding rows were removed. This may indicate a problem if unexpected.
pairwise <- pairwise_comparison(scores, by = "target_type")
plot_pairwise_comparison(pairwise, type = "mean_scores_ratio") +
facet_wrap(~target_type)
```