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...ors. 2. Jeff Newmiller: "Change the columns into factors before you give them to the coxph function, e.g. df$treatment <- as.factor(df$treatment)" And I study David Winsemius's instructions.THANKS!!! Code works: library(survival) library(survminer) df<-read.csv("F:/R/data/edgr-orig.csv", header = TRUE, sep = ";") head(df) # "age" means the age groups ID start stop censor sex age stage treatment 1 0 66 0 2 1 3 1 2 0 18 0 1 2 4 2 3 0 43 1 2 3 3 1 4 0 47 1 2 3 NA 2 5 0...

Adjusted survival curves. (Sample code here: https://rpubs.com/daspringate/survival ) Deep gratitude?to Moderator/Admin! At?David Winsemius prompt, more elegant working code:Thanks, Ted :) library(survival) library(survminer) df<-read.csv("F:/R/data/edgr-orig.csv", header = TRUE, sep = ";") df2 <- df df2[,c('treatment', 'age', 'sex', 'stage')] <- lapply(df2[,c('treatment', 'age', 'sex', 'stage')], factor) model <- coxph (Surv(time = start, ???????????????????...