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Create a heatmap to visualise if there is not enough evidence to reject the null hypothesis that two datasets come from the same underlying distribution

Source: R/compare_data.R
ks_heatmap.Rd

Create a heatmap to visualise if there is not enough evidence to reject the null hypothesis that two datasets come from the same underlying distribution

Usage

ks_heatmap(ks_results)

Arguments

ks_results

A dataframe with columns name1, name2, D, and p-value, obtained using the function ks_compare

Value

A heatmap plot with all paired comparisons

Examples

data <- prepare_data(dplyr::filter(
  carpenter_williams_1995,
  participant == "b"
))
ks_results <- ks_compare(data)
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
#> Warning: p-value will be approximate in the presence of ties
ks_heatmap(ks_results)