mpfrArray: Construct "mpfrArray" almost as by 'array()'

Description Usage Arguments Value See Also Examples

View source: R/array.R

Description

Utility to construct an R object of class mpfrArray, very analogously to the numeric array function.

Usage

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mpfrArray(x, precBits, dim = length(x), dimnames = NULL,
          rnd.mode = c("N","D","U","Z","A"))

Arguments

x

numeric(like) vector, typically of length prod(dim) or shorter in which case it is recycled.

precBits

a number, the maximal precision to be used, in bits; i.e., 53 corresponds to double precision. Must be at least 2.

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 NULL or the names for the dimensions. This is a list with one component for each dimension, either NULL or a character vector of the length given by dim for that dimension.

rnd.mode

a 1-letter string specifying how rounding should happen at C-level conversion to MPFR, see details of mpfr.

Value

an object of class "mpfrArray", specifically "mpfrMatrix" when length(dim) == 2.

See Also

mpfr, array; asNumeric() as “inverse” of mpfrArray(), to get back a numeric array.

mpfr2array(x) is for "mpfr" classed x, only, whereas mpfrArray(x) is for numeric (“non-mpfr”) x.

Examples

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## 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)
)

Rmpfr documentation built on Jan. 13, 2018, 1:11 a.m.