Recording vectors of different lengths in a matrix / data frame
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Recording vectors of different lengths in a matrix / data frame
I have a numeric called area of length 166860. This consists of 412 different elements, most of length 405 and some of length 809. I have their start and end ids.
My goal is to extract them and put them in a matrix/data frame with 412 columns
Right now, I'm trying this code:
m = matrix(NA,ncol=412, nrow=809)
for (j in 1:412){
temp.start = start.ids[j]
temp.end = end.ids[j]
m[,j] = area[temp.start:temp.end]
}
But I just end up with this error message:
"Error in m[, j] = area[temp.start:temp.end] : number of items to replace is not a multiple of replacement length"
Here's a quite easy approach:
Example data:
area <- c(1:4, 1:5, 1:6, 1:3)
# [1] 1 2 3 4 1 2 3 4 5 1 2 3 4 5 6 1 2 3
start.ids <- which(area == 1)
# [1] 1 5 10 16
end.ids <- c(which(area == 1)[-1] - 1, length(area))
# [1] 4 9 15 18
Create a list with one-row matrices:
mats <- mapply(function(x, y) t(area[seq(x, y)]), start.ids, end.ids)
# [[1]]
# [,1] [,2] [,3] [,4]
# [1,] 1 2 3 4
#
# [[2]]
# [,1] [,2] [,3] [,4] [,5]
# [1,] 1 2 3 4 5
#
# [[3]]
# [,1] [,2] [,3] [,4] [,5] [,6]
# [1,] 1 2 3 4 5 6
#
# [[4]]
# [,1] [,2] [,3]
# [1,] 1 2 3
Use the function rbind.fill.matrix
from the plyr
package to create the matrix and transpose it (t
):
library(plyr)
m <- t(rbind.fill.matrix(mats))
# [,1] [,2] [,3] [,4]
# 1 1 1 1 1
# 2 2 2 2 2
# 3 3 3 3 3
# 4 4 4 4 NA
# 5 NA 5 5 NA
# 6 NA NA 6 NA
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