Dear R experts,
I have the following data.table:
dt<- data.table(A=rep(1:5), B=c(20:24), C=rep(30:34), target.name=c("A","B",
"C","B","A"), target.column=c(1,2,3,2,1), target.value=rep(NA,5))
Columns A, B and C are the variables of interest.
For each row, I want to get the value of the variable given in the column
target.column. For example, in the second row, I want to get the value B.
(the column target.column just gives the corresponding column index).
I plan to store the results in the column target value.
#### Solution 1: very slow
for (i in (1:5)){
dt$target.value[i]<- dt[i, c(dt[, target.column[i]]), with=FALSE]
}
dt
#### Solution 2: faster but still slow
df<- data.frame(dt)
aaa<- lapply(1:5, function(i) df[i, which(colnames(df)==df$target.name[i])])
aaa<- do.call("rbind",aaa)
df$target.value<- aaa
Not convenient on a big data frame because of rbind
#### Other tries:
dt[, c(dt$target.name), with=FALSE]
The solution appears on the diagonal term for some reason...
The original data.table is big (18 million rows), so time efficiency is a
primary concern.
Any advice is very welcome. Thanks for your help.
Aurelien
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