merge_id_position: Merge Data Frames by Common Row Names with Additional Columns

In TransProR: Analysis and Visualization of Multi-Omics Data

Merge Data Frames by Common Row Names with Additional Columns

Description

This function merges a list of data frames based on common row names. It adds an 'id' column to track the row order and a 'point_position' column calculated based on the maximum 'Count' value across all data frames. It filters data frames to include only common rows, sorts rows by the length of the 'Description' in descending order, and then merges them by rows.

Usage

merge_id_position(df_list)

Arguments

df_list

A list of data frames, each with a 'Description' and 'Count' column and set row names.

Value

A single data frame merged from the list, with additional 'id' and 'point_position' columns.

Examples

df1 <- data.frame(Description = c("DataA", "DataB"), Count = c(10, 20), row.names = c("R1", "R2"))
df2 <- data.frame(Description = c("DataC", "DataD"), Count = c(30, 40), row.names = c("R1", "R3"))
df_list <- list(df1, df2)
combined_df_test <- merge_id_position(df_list)

TransProR documentation built on April 4, 2025, 3:16 a.m.