
array
to a matrix
, which then can be saved to file using for instance
write.table()
.## S3 method for class 'array':
wrap(x, map=list(NA), sep=".", ...)
character
pasting joined dimension names.array
of length(map)
dimensions, where the first
dimension is of size prod(map[[1]])
, the second
prod(map[[2]])
, and so on.unlist(map)
is in a non-increasing order,
aperm() will be called, which requires reshuffling
of array elements in memory. In all other cases, the reshaping of the
array does not require this, but only fast modifications of
attributes dim
and dimnames
.*unwrap()
.
See aperm().# Create a 3x2x3 array
dim <- c(3,2,3)
ndim <- length(dim)
dimnames <- list()
for (kk in 1:ndim)
dimnames[[kk]] <- sprintf("%s%d", letters[kk], 1:dim[kk])
x <- 1:prod(dim)
x <- array(x, dim=dim, dimnames=dimnames)
cat("Array 'x':
")
print(x)
cat("Reshape 'x' to its identity:
")
y <- wrap(x, map=list(1, 2, 3))
print(y)
# Assert correctness of reshaping
stopifnot(identical(y, x))
cat("Reshape 'x' by swapping dimensions 2 and 3, i.e. aperm(x, perm=c(1,3,2)):
")
y <- wrap(x, map=list(1, 3, 2))
print(y)
# Assert correctness of reshaping
stopifnot(identical(y, aperm(x, perm=c(1,3,2))))
cat("Wrap 'x' to a matrix 'y' by keeping dimension 1 and joining the others:
")
y <- wrap(x, map=list(1, NA))
print(y)
# Assert correctness of reshaping
for (aa in dimnames(x)[[1]]) {
for (bb in dimnames(x)[[2]]) {
for (cc in dimnames(x)[[3]]) {
tt <- paste(bb, cc, sep=".")
stopifnot(identical(y[aa,tt], x[aa,bb,cc]))
}
}
}
cat("Unwrap matrix 'y' back to array 'x':
")
z <- unwrap(y)
print(z)
stopifnot(identical(z,x))
cat("Wrap a matrix 'y' to a vector and back again:
")
x <- matrix(1:8, nrow=2, dimnames=list(letters[1:2], 1:4))
y <- wrap(x)
z <- unwrap(y)
print(z)
stopifnot(identical(z,x))
cat("Wrap and unwrap a randomly sized and shaped array 'x2':
")
maxdim <- 5
dim <- sample(1:maxdim, size=sample(2:maxdim))
ndim <- length(dim)
dimnames <- list()
for (kk in 1:ndim)
dimnames[[kk]] <- sprintf("%s%d", letters[kk], 1:dim[kk])
x2 <- 1:prod(dim)
x2 <- array(x, dim=dim, dimnames=dimnames)
cat("Array 'x2':
")
print(x)
# Number of dimensions of wrapped array
ndim2 <- sample(1:(ndim-1), size=1)
# Create a random map for joining dimensions
splits <- NULL;
if (ndim > 2)
splits <- sort(sample(2:(ndim-1), size=ndim2-1))
splits <- c(0, splits, ndim);
map <- list();
for (kk in 1:ndim2)
map[[kk]] <- (splits[kk]+1):splits[kk+1];
cat("Random 'map':
")
print(map)
cat("Array 'y2':
")
y2 <- wrap(x2, map=map)
print(y2)
cat("Array 'x2':
")
z2 <- unwrap(y2)
print(z2)
stopifnot(identical(z2,x2))
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