I saw some (bad) code somewhere which turned out to call a function which executed mymatrix[TRUE]
along the way. It turns out, at least in the samples I tested, t
When used as indices, logical vectors are recycled to match the length of the vector. For example, mymatrix[c(TRUE, FALSE)]
would give you every other element.
Logical
indices tell R
which elements to include or exclude.
You have three options:
TRUE, FALSE, NA
They serve to indicate whether or not the index represented in that position should be included. In other words:
TRUE == "Include the elment at this index"
FALSE == "Do not include the element at this index"
NA == "Return NA instead of this index" _(losely speaking)_
For example:
x <- 1:6
x[ c(TRUE, FALSE, TRUE, NA, TRUE, FALSE)]
# [1] 1 3 NA 5
However, standard recycling rules apply. So in the previous example, if we drop the last FALSE
,
the index vector is recylced, the first element of the index is TRUE
, and hence the 6
th element of x
is now included
x <- 1:6
x[ c(TRUE, FALSE, TRUE, NA, TRUE )]
# [1] 1 3 NA 5 6
x
The above holds for any object that can be subseted using [
, not just vectors.
If x
is multidimensional, we can use logical indecies on one orr all of the dimensions, or even a logical matrix as an matrix-index.
x <- matrix(1:12, nrow=3, ncol=4)
# using logical vectors on both dims
# returns intersection of 2nd row and 3rd column
x[c(TRUE, FALSE, FALSE), c(FALSE, FALSE, TRUE, FALSE)]
# [1] 7
# Same value
x[c(TRUE, FALSE, FALSE), 3]
# [1] 7
# return a checkerboard pattern, using a logical matrix as an index
x[ matrix(c(TRUE, FALSE), nrow=3, ncol=4) ]
The catch is that matricies can be indexed not only by their dimensions, but also by their specific elements:
x[7]
# [1] 7
Combining this fact, with R
's recycling rules, we get the result referenced in the OP.
That is, x[TRUE]
is the equivalent of x[ rep(TRUE, length(x)) ]
, which is the
equivalent of return every element of x
x[TRUE]
# [1] 1 2 3 4 5 6 7 8 9 10 11 12
x[TRUE, ,drop=FALSE]
# [,1] [,2] [,3] [,4]
# [1,] 1 4 7 10
# [2,] 2 5 8 11
# [3,] 3 6 9 12