Nothing

```
#############################################
# Prepare Data- #
# Divide into Subsets by the Two Factors #
#############################################
#=================================================================================================================
# input: data frame of the form (time,status, factor1, factor2)
# output: list of :
# - whole data set with a new variable cell, which indicates in which cell an observation is
# - subset for each cell (time,event,factor1, factor2, cell)
#=================================================================================================================
prepare <- function(data){
data <- na.omit(data)
# save the levels of the two factor variables and their length and number of observations
levels3 <- levels(data[,3])
a <- length(levels3)
levels4 <- levels(data[,4])
b <- length(levels4)
n <- dim(data)[1]
# a vector to save which cell the observation belongs to
cell <- rep(0,n)
cell_count <- 1
data <- cbind(data, cell)
# assign the cell level to each individual
for ( j in 1:a ) {
# look trough all levels of A
for ( k in 1:b ) {
# look through all levels of B
for (i in 1:n ) {
if (data[i, 3] == levels3[j] & data[i, 4] == levels4[k]) {
data$cell[i] <- cell_count
}
}
cell_count<-cell_count+1
}
}
data$cell <- as.factor(data$cell)
result <- list(data)
for (i in 1:max(as.numeric(data$cell)) ) {
datahelp <- data[data$cell == i, ]
result <- c(result, list(datahelp))
}
return (result)
}
```

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