Subsetting can convert matrix to vector

[danknights]

I would add that indexing a matrix or array automatically drops dimensions of size 1. This can occasionally be convenient, as with a multidimensional array with a lot of useless dimensions, but in my experience it causes problems more often than not. If you subset only one row/column of a matrix, the result is just a vector, and functions that require a matrix (e.g. rowMeans) will obviously fail:

a <- matrix(seq(12),nr=3,nc=4) rowMeans(a[1:2,]) [1] 5.5 6.5 rowMeans(a[1,]) Error in rowMeans(a[1, ]) : 'x' must be an array of at least two dimensions

Even if you explicitly create a 1-row matrix, subsetting will convert to vector:

a <- matrix(seq(5),nrow=1) a [,1] [,2] [,3] [,4] [,5] [1,] 1 2 3 4 5 a[,] [1] 1 2 3 4 5

This is intended behavior, but I find that I often want to explicitly keep all dimensions. For example, if you write a function that usually processes matrices with 2+ rows, but then one day pass it a one-row matrix, the first subsetting operation will convert it to a vector and will cause subsequent matrix operations to fail. Therefore you either need to explicitly handle operations on the one-row/one-column matrix separately, or you can make a habit of adding a "drop" parameter to the index, as I have done:

a <- matrix(seq(12),nr=3,nc=4) rowMeans(a[1,,drop=F]) [1] 5.5

[kevinushey]

Thanks; this is a duplicate of #13.