--- a
+++ b/man/process_heatdata.Rd
@@ -0,0 +1,57 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ProcessHeatdata.R
+\name{process_heatdata}
+\alias{process_heatdata}
+\title{Process Heatmap Data with Various Selection Options}
+\usage{
+process_heatdata(
+  heatdata,
+  selection = 1,
+  custom_names = NULL,
+  num_names_per_group = NULL,
+  prefix_length = 4
+)
+}
+\arguments{
+\item{heatdata}{A data frame containing the heatmap data.}
+
+\item{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.}
+
+\item{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`.}
+
+\item{num_names_per_group}{An integer specifying the number of columns to select per group (used when `selection = 2`).}
+
+\item{prefix_length}{An integer specifying the length of the prefix for grouping columns (used when `selection = 2` or `selection = 3`).
+Default is 4.}
+}
+\value{
+A processed data frame based on the specified selection option.
+}
+\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.
+}
+\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)
+}