aperm(a, perm=<<see below>>, reshape=T)
NAs) are allowed.
n
is the number of dimensions in the array
a, that is,
n==length(dim(a)). The old dimension
given by
perm[j] becomes the new
j-th dimension.
If
perm is missing, the dimensions are reversed, i.e., perm=n:1.
TRUE, the dimensions of the result are changed
to correspond with the re-ordering. If
FALSE, the dimensions of the
result are the same as the dimensions of
a.
a, but with the observations permuted
according to
perm, e.g., if
perm is
c(2,1,3), the
result will be an array in which the old second dimension is
the new first dimension, etc.
aperm is a generic function with a default method and a method for
data frames (which performs
as.matrix on the data frame and then
does
aperm.default).
For arrays a
dimnames attribute, if present, will be
appropriately permuted, but
names, if present, will be deleted.
# turns 50 x 4 x 3 into 50 x 3 x 4 myiris <- aperm(iris,c(1,3,2)) # make 150 x 4 matrix myiris <- matrix(aperm(iris,c(1,3,2)),150,4) # if bar is a matrix created from a file in the wrong order # (byrow was not set to TRUE), then the following sets it right t(aperm(t(bar),reshape=F))