setCGsurvival: get clinical data from patients with specific data about...
In Solatar/setR:

Description Usage Arguments Details Value Examples

Imports: cgdsr, survival, survminer

1	setCGsurvival(clinic0, gene = NA, percsplit = 2, percs = NA, splitByCol = NA)

`gene`	character, gene of interest which had to be one of the genes specified in the setCGclinic() function. If you want to split only by genotype, use the splitByCol.
`percsplit`	integer, how many percentiles are calculated? automactically controls what percentiles are calculated (2: 0th,50th; 3: 0th,33th,66th; 4: 0th,25th,50th,75th)
`percs`	numbers, which percentiles should be displayed in the survival plot (e.g. 0, 50, 33, 90, etc.)
`splitByCol`	character, a column name by which the groups should be split (in addition to the gene), e.g. whether or not another gene is mutated
`clinic`	output from the setCGclinic() function

uses the OS_MONTHS column of the clinic-data.frame to calculate survival

list with 3 items: [[1]] a survival ggplot, [[2]] the extended clinic data.frame, [[3]] a summary, [[4]] the p value

cgds <- setCGbase()
study <- setCGstudy(cgds, 5)
clinic <- setCGclinic(cgds, study, 2, 1, c("ACTA1","HOXA9"))
survival <- setCGsurvival(clinic, "HOXA9")