Split the heatmap row-wise depending on the biggest branches in the cladogram.

split_rows() from a `InputHeatmap` object, split the row cladogram.

split_columns() from a `InputHeatmap` object, split the column cladogram.

split_rows(.data, number_of_groups)

# S4 method for InputHeatmap
split_rows(.data, number_of_groups)

split_columns(.data, number_of_groups)

# S4 method for InputHeatmap
split_columns(.data, number_of_groups)

Arguments

.data: A `InputHeatmap`
number_of_groups: An integer. The number of groups to split the cladogram into.

Value

A `InputHeatmap` object that gets evaluated to a `ComplexHeatmap`

Details

It uses `ComplexHeatmap` as visualisation tool.

Examples



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

hm |> split_rows(2)




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

hm |> split_columns(2)