# source("https://bioconductor.org/biocLite.R")
# biocLite("RTCGA.clinical")
# get the data
library(RTCGA.clinical)
LUAD <- LUAD.clinical[,c("patient.new_tumor_events.new_tumor_event.days_to_new_tumor_event_after_initial_treatment",
"patient.days_to_death",
"patient.days_to_last_followup",
"patient.gender")]
# clean colnames
colnames(LUAD) <- c("new_tumor_event", "days_to_death", "days_to_last_followup", "gender")
# create new variables
LUAD$event <- ifelse(!is.na(LUAD$new_tumor_event), "new_tumor",
ifelse(!is.na(LUAD$days_to_death), "death",
"alive"))
LUAD$time <- pmin(as.numeric(LUAD$new_tumor_event),
as.numeric(LUAD$days_to_death),
as.numeric(LUAD$days_to_last_followup), na.rm = TRUE)
# use the gender as grouping variable
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