Construct "mpfrArray" almost as by 'array()'
mpfrArray(x, precBits, dim = length(x), dimnames = NULL,
rnd.mode = c("N","D","U","Z","A"))x |
numeric(like) vector, typically of length |
precBits |
a number, the maximal precision to be used, in
bits; i.e., |
dim |
the dimension of the array to be created, that is a vector of length one or more giving the maximal indices in each dimension. |
dimnames |
either |
rnd.mode |
a 1-letter string specifying how rounding
should happen at C-level conversion to MPFR, see details of
|
an object of class "mpfrArray", specifically
"mpfrMatrix" when length(dim) == 2.
mpfr2array(x) is for "mpfr" classed x,
only, whereas mpfrArray(x) is for numeric (“non-mpfr”)
x.
## preallocating is possible here too
ma <- mpfrArray(NA, prec = 80, dim = 2:4)
validObject(A2 <- mpfrArray(1:24, prec = 64, dim = 2:4))
## recycles, gives an "mpfrMatrix" and dimnames :
mat <- mpfrArray(1:5, 64, dim = c(5,3), dimnames=list(NULL, letters[1:3]))
mat
asNumeric(mat)
stopifnot(identical(asNumeric(mat),
matrix(1:5 +0, 5,3, dimnames=dimnames(mat))))
## Testing the apply() method :
apply(mat, 2, range)
apply(A2, 1:2, range)
apply(A2, 2:3, max)
(fA2 <- apply(A2, 2, fivenum))
a2 <- as(A2, "array")
stopifnot(as(apply(A2, 2, range), "matrix") ==
apply(a2, 2, range)
, all.equal(fA2, apply(a2, 2, fivenum))
, all.equal(apply(A2, 2, quantile),
apply(a2, 2, quantile))
, all.equal(A2, apply(A2, 2:3, identity) -> aA2, check.attributes=FALSE)
, dim(A2) == dim(aA2)
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