calc_fold_change_df: Calculate fold change

In tkostas/komics: Tools to analyze omics data

Description

Reads a data frame, identifies the columns containing group mean values, and calculates the log2 fold difference. Output is saved in a new column of the same data frame labeled as <e2><80><9c>log2_fold_change_AB<e2><80><9d>. If means are not calculated, used calc_means_df function first.

Usage

calc_fold_change_df(x, mean_A, mean_B, colname = "log2_fold_difference")

Arguments

x	Data frame containing input values.
mean_A	Character string describing the column name of the mean for the group A. Partial matching is acceptable.
mean_B	Character string describing the column name of the mean for the group B. Partial matching is acceptable.
colname	Single character vector, with the label of the column with the calculated values. Default value is "log2_fold_difference".

Examples

proc_data <- calc_fold_change_df(data, "TIC_Pat", "TIC_Ctr")

tkostas/komics documentation built on May 24, 2019, 7:31 a.m.