I am using randomForestSRC to estimate the variable importance of 34 potential predictors of survival. When all of potential predictor variables are numeric (or coded as numeric) the package runs without a problem. When I add in / appropriately code factor variables as factors, I get the following error:
Error in Math.factor(cens) : ‘floor’ not meaningful for factors.
I have tried using the package defaults to be sure that nothing I'm specifying is causing a problem. I've tried coding all of my variables as numeric - which is incorrect. That eliminates the problem. I do not know why rounding, floor, would be applied to factor variables. I have looked through the code running in the package and cannot identify where the problem is.
Read in data set in csv file exported from Stata
returners<-read.csv("2019April11_RSF.csv")
Grow random survival forest with 1000 trees, indicate time and outcome variables
rsfr.obj <- rfsrc(Surv(days_return_or_censor, returner_SC) ~ ., returners,
ntree = 1000)
Print and plot the grow object
print(rsfr.obj)
I expect the error rates and variable importance estimates to print out. Instead I get the error:
Error in Math.factor(cens) : ‘floor’ not meaningful for factors
