plot_contrast_heatmap {mistyR} | R Documentation

## Plot heatmap of local contrast between two views

### Description

The heatmap shows the interactions that are present and have importance above a `cutoff` value in the `to.view` but but not in the `from.view`.

### Usage

    plot_contrast_heatmap(
      misty.results,
      from.view,
      to.view,
      cutoff = 1,
      trim = -Inf,
      trim.measure = c("gain.R2", "multi.R2", "intra.R2", "gain.RMSE", "multi.RMSE",
        "intra.RMSE")
    )

### Arguments

`misty.results` | a results list generated by `collect_results()`.
`from.view, to.view` | abbreviated name of the view.
`cutoff` | importance threshold. Importances below this value will be colored white in the heatmap and considered as not relevant.
`trim` | display targets with performance value above (if R2 or gain) or below (otherwise) this value only.
`trim.measure` | the measure used for trimming.

### Value

The `misty.results` list (invisibly).

### See Also

`collect_results()` to generate a results list from raw results.

Other plotting functions: `plot_contrast_results()`, `plot_improvement_stats()`, `plot_interaction_communities()`, `plot_interaction_heatmap()`, `plot_view_contributions()`

### Examples

    all.samples <- list.dirs("results", recursive = FALSE)

    misty.results <- collect_results(all.samples)

    misty.results %>%
      plot_contrast_heatmap("intra", "para.10")

    misty.results %>%
      plot_contrast_heatmap("intra", "para.10", cutoff = 0.5)

[Package mistyR version 1.2.1 Index]