one way is the following:
m <- list(A = 1, B = 1:2, C = 1:3, D = 1:4)
n <- max(sapply(m, length))
t(sapply(m, function (x) c(x, rep(NA, n - length(x)
I hope it helps.
Best,
Dimitris
Daren Tan wrote:
I would like to convert a list to matrix. This can be easily achieved via
do.call. The
This should do what you want:
> m <- list()
> m[["A"]] <- 1
> m[["B"]] <- 2:3
> # get the maximum length
> maxLen <- max(sapply(m, length))
> # create a new list with elements padded out with NAs
> newM <- lapply(m, function(.ele){
+ c(.ele, rep(NA, maxLen))[1:maxLen]
+ })
> do.call(rbind, new
I would like to convert a list to matrix. This can be easily achieved via
do.call. The only problem is each element of the list has different length,
which causes the recycling of values. How can I have NA instead of recycled
values ?
m <- list()
m[["A"]] <- 1
m[["B"]] <- 2:3
do.call(rbind, m)
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