Wrap tidyHeatmap (ComplexHeatmap) in a patchwork-compliant patch

In order to add tidyHeatmap (ComplexHeatmap) element to a patchwork they can be converted to a compliant representation using the `wrap_heatmap()` function. This allows you to position either grobs, ggplot objects, patchwork objects, or even base graphics (if passed as a formula) in either the full area, the full plotting area (anything between and including the axis label), or the panel area (only the actual area where data is drawn).

wrap_heatmap(
  panel = NULL,
  plot = NULL,
  full = NULL,
  clip = TRUE,
  ignore_tag = FALSE,
  padding = NULL
)

# S4 method for class 'InputHeatmap'
wrap_heatmap(
  panel = NULL,
  plot = NULL,
  full = NULL,
  clip = TRUE,
  ignore_tag = FALSE,
  padding = NULL
)

Source

[Mangiola and Papenfuss., 2020](https://joss.theoj.org/papers/10.21105/joss.02472)

Arguments

panel, plot, full: A grob, ggplot, patchwork, formula, raster, or nativeRaster object to add to the respective area.
clip: Should the grobs be clipped if expanding outside its area
ignore_tag: Should tags be ignored for this patch. This is relevant when using automatic tagging of plots and the content of the patch does not qualify for a tag.
padding: A grid::unit object. It defined the padding distance for the plot. It is helpful when the heatmap is assembled with other ggplots through patchwork.

Value

A wrapped_patch object

References

Mangiola, S. and Papenfuss, A.T., 2020. "tidyHeatmap: an R package for modular heatmap production based on tidy principles." Journal of Open Source Software. doi:10.21105/joss.02472.

Examples



tidyHeatmap::N52 |>
tidyHeatmap::heatmap(
 .row = symbol_ct,
 .column = UBR,
 .value = `read count normalised log`,
) |> 
wrap_heatmap()