Hello!
I am trying to make a Kaplan Meir plot. I am trying to plot a Kaplan Meir curve that looks at CD20High:CD8High and CD20Low:CD8High expression. However, when I run the code it creates multiple comparisons such as CD8Low:CD20High and CD8Low:CD20Low which I do not need.
This is the command and results I am getting:
fit <- survfit(Surv(time = Survivalmonths, event = Alive0_Allotherstates1) ~ CD20StromaRank + CD8StromaRank , data = panc)
print(fit)
Call: survfit(formula = Surv(time = Survivalmonths, event = Alive0_Allotherstates1) ~ CD20StromaRank + CD8StromaRank, data = panc)
n events median 0.95LCL 0.95UCL CD20StromaRank=High, CD8StromaRank=High 18 18 26.65 15.50 37 **CD20StromaRank=High, CD8StromaRank=Low 1 1 14.70 NA NA** CD20StromaRank=Low, CD8StromaRank=High 1 1 8.60 NA NA **CD20StromaRank=Low, CD8StromaRank=Low 6 6 8.96 4.57 NA**
Is there a different way I can plot the curve I can plot the curves to avoid the once that are starred or group them together so the main focus is on the unstarred ones?
