Nothing
timeInStates <- function(mydata, end_time=100){
#mydata - cohort@time.to.state
#res -times in each state for every patient
#TODO:
nr <- nrow(mydata)
nc <- ncol(mydata)
tmp <- mydata*0
tmp[is.na(tmp)] <- 0
tmp <- tmp+end_time+1
tmp1 <- tmp
mydata[,nc+1]<- end_time
#Checking the differences between subsequent stages, with distance 2, 3, etc.
for (f in c(1:(nc))){
tmp1[, 1:(nc+1-f)]<- (-1)*(mydata[,1:(nc+1-f)]-mydata[,(f+1):(nc+1)])
tmp1[is.na(tmp1)]<-end_time+1
tmp1[tmp1<0]<-end_time +1
tmp <- pmin((tmp),(tmp1))
}
res <- tmp
res[res==(end_time+1)]<-0
print(dim(res))
View(res)
return(res)
}
sumTimeInStates <- function(mydata, end_time = 100){
colSums(timeInStates(mydata, end_time))
}
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