Reputation: 31
I use a r-matrix (for example [[0,0,0,1],[0,1,0,1],[1,0,0,0],[0,0,1,1]]
) representing
a raster. I'd like to replace every value except 0 with its row index value. Is there something like
matrix[matrix==1] <- row_index
so that my result would look like [[0,0,0,1],[0,2,0,2],[3,0,0,0],[0,0,4,4]]
?
I am using R 2.15.1 on a Mac (10.7.5) and RPY2 2.2.6 to start the R-Methods.
Or is there any other way to get reasonable results for statistical functions like histogram
, chi_square
etc.?
Upvotes: 3
Views: 2672
Reputation: 442
Maybe I'm missing the point of your question, but how about
> m <- matrix(c(0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1),
+ nrow = 4, byrow = TRUE)
> m * 1:nrow(m)
[,1] [,2] [,3] [,4]
[1,] 0 0 0 1
[2,] 0 2 0 2
[3,] 3 0 0 0
[4,] 0 0 4 4
>
(ETA: R fills in matrices by column, and the itemwise product operator makes the two matrices involved conformant by replicating them column by column until they fit. The * operator here winds up multiplying each item by the row to which it belongs.)
Upvotes: 0
Reputation: 162321
For a succinct, expressive solution, I'd be likely to use this:
m <- matrix(c(0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1),
nrow = 4, byrow = TRUE)
m[m!=0] <- row(m)[m!=0]
m
# [,1] [,2] [,3] [,4]
# [1,] 0 0 0 1
# [2,] 0 2 0 2
# [3,] 3 0 0 0
# [4,] 0 0 4 4
Upvotes: 5
Reputation: 193517
Hopefully all hell won't break loose for suggesting a for loop, but we'll see:
Here's your matrix
mymat <- matrix(c(0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1),
nrow = 4, byrow = TRUE)
mymat
# [,1] [,2] [,3] [,4]
# [1,] 0 0 0 1
# [2,] 0 1 0 1
# [3,] 1 0 0 0
# [4,] 0 0 1 1
Here's a for loop that uses basic subsetting to identify the cases you want to replace.
for (i in 1:nrow(mymat)) {
mymat[i, ][mymat[i, ] != 0] <- i
}
Here's the result.
mymat
# [,1] [,2] [,3] [,4]
# [1,] 0 0 0 1
# [2,] 0 2 0 2
# [3,] 3 0 0 0
# [4,] 0 0 4 4
Upvotes: 2