cutGroups: split survival data into High and Low groups based on cutoff...

In hmumme/survivalHelp: What the Package Does (One Line, Title Case)

split survival data into High and Low groups based on cutoff value and scores/expression values

Description

split survival data into High and Low groups based on cutoff value and scores/expression values

Usage

cutGroups(os, out)

Arguments

os	tibble with columns: samples, OS values, and Vital.Status
out	output from mCut or mSet. It contains the cutoff threshold and either GSEA scores ("scores") or Gene Expression ("geneExp") values for each sample

Value

the os"group" column with samples split into High and Low groups

Examples

os = dplyr::tibble(sample = letters[1:10], OS = 10:19, Vital.Status = c(rep("Alive",8),rep("Dead",2)))
out = list("cutoff" = 0.44, "scores" = rnorm(10))
os["group"] = cut(os,out)
os

hmumme/survivalHelp documentation built on June 6, 2022, 9:15 p.m.