split-methods: Split the heatmap row-wise depending on the biggest branches...
In stemangiola/tidyHeatmap: A Tidy Implementation of Heatmap

split_rows

R Documentation

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

Description

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

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

Usage

split_rows(.data, number_of_groups)

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

split_columns(.data, number_of_groups)

## S4 method for signature '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.

Details

\lifecycle

maturing

It uses 'ComplexHeatmap' as visualisation tool.

\lifecycle

maturing

It uses 'ComplexHeatmap' as visualisation tool.

Value

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

Source

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

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



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)

stemangiola/tidyHeatmap documentation built on Nov. 2, 2024, 12:54 p.m.