TransProR (version 1.0.2)

process_heatdata: Process Heatmap Data with Various Selection Options

Description

This function processes heatmap data (`heatdata`) based on a given selection option. It allows customization of column names, selection of specific columns per group, or averaging columns based on a common prefix.

Usage

process_heatdata(
  heatdata,
  selection = 1,
  custom_names = NULL,
  num_names_per_group = NULL,
  prefix_length = 4
)

Value

A processed data frame based on the specified selection option.

Arguments

heatdata

A data frame containing the heatmap data.

selection

An integer specifying the processing method: - 1: Use custom names for columns. - 2: Select a given number of columns per group based on a prefix. - 3: Calculate the average of columns per group based on a prefix.

custom_names

A character vector of custom names for columns (used when `selection = 1`). The length of this vector must match the number of columns in `heatdata`.

num_names_per_group

An integer specifying the number of columns to select per group (used when `selection = 2`).

prefix_length

An integer specifying the length of the prefix for grouping columns (used when `selection = 2` or `selection = 3`). Default is 4.

Examples

# Example heatmap data frame
heatdata <- data.frame(
  groupA_1 = c(1, 2, 3),
  groupA_2 = c(4, 5, 6),
  groupB_1 = c(7, 8, 9),
  groupB_2 = c(10, 11, 12)
)

# Selection 1: Use custom names for columns
custom_names <- c("Sample1", "Sample2", "Sample3", "Sample4")
processed_data1 <- process_heatdata(heatdata, selection = 1, custom_names = custom_names)

# Selection 2: Select a given number of columns per group based on a prefix
processed_data2 <- process_heatdata(heatdata, selection = 2, num_names_per_group = 1)

# Selection 3: Calculate the average of columns per group based on a prefix
processed_data3 <- process_heatdata(heatdata, selection = 3, prefix_length = 6)