Last chance! 50% off unlimited learning
Sale ends in
Breat and Ovarian cancers survival information from the RTCGA.clinical R/Bioconductor package.http://rtcga.github.io/RTCGA/.
data("BRCAOV.survInfo")
A data frame with 1674 rows and 4 columns.
- times: follow-up time; - bcr_patient_barcode: Patient bar code; - patient.vital_status = survival status. 0 = alive, 1 = dead; - admin.disease_code: disease code. brca = breast cancer, ov = ovarian cancer.
# NOT RUN {
data(BRCAOV.survInfo)
library(survival)
fit <- survfit(Surv(times, patient.vital_status) ~ admin.disease_code,
data = BRCAOV.survInfo)
ggsurvplot(fit, data = BRCAOV.survInfo, risk.table = TRUE)
# }
Run the code above in your browser using DataLab