```
input.list = function(data,Time_na,p = 0){
days = sort(as.numeric(unique(as.vector(Time_na))))
ra = order(days)
tmin = min(ra)
tmax = max(ra)
n = dim(data)[1]
Y = list()
length(Y) = n
T = list()
length(T) = n
for (i in 1:n)
{
subdata = data[i,]
temp = rep(0,(tmax-tmin+1))
for (j in 1:(tmax-tmin+1))
{
#the first two columns are genotype and block, subdata_j means without these two columns
subdata_j = subdata[,(j+p)]
#temp[j] given a fixed i means: for the ith genotype, at the values of y for each observation at the
#jth time point,
temp[j] = mean(subdata_j[complete.cases(subdata_j)]) # taking average if more than one (not NAs)
}
index = which(temp>=0)
Y[[i]] = temp[index] # heigh
T[[i]] = days[index]
}
return(list(Y = Y, T = T))
}
#Y = input.list(data = data_new, p = 2,tmin,tmax)$Y
#T = input.list(data = data_new, p = 2,tmin,tmax)$T
```

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