matrixStats (version 0.53.0)

x_OP_y: Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)'

Description

Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)', where OP can be +, -, *, and /. For + and *, na.rm = TRUE will drop missing values first.

Usage

x_OP_y(x, y, OP, xrows = NULL, xcols = NULL, yidxs = NULL,
  commute = FALSE, na.rm = FALSE)
t_tx_OP_y(x, y, OP, xrows = NULL, xcols = NULL, yidxs = NULL,
  commute = FALSE, na.rm = FALSE)

Arguments

x

A numeric NxK matrix.

y

A numeric vector of length L.

OP

A character specifying which operator to use.

xrows, xcols

A vector indicating subset of rows (and/or columns) to operate over 'x'. If NULL, no subsetting is done.

commute

If TRUE, 'y OP x' ('t(y OP t(x))') is calculated, otherwise 'x OP y' ('t(t(x) OP y)').

na.rm

If TRUE, missing values are ignored, otherwise not.

idxs

A vector indicating subset of elements to operate over 'y'. If NULL, no subsetting is done.

...

Not used.

Value

Returns a numeric NxK matrix.

Missing values

If na.rm = TRUE, then missing values are "dropped" before applying the operator to each pair of values. For instance, if x[1, 1] is a missing value, then the result of x[1, 1] + y[1] equals y[1]. If also y[1] is a missing value, then the result is a missing value. This only applies to additions and multiplications. For subtractions and divisions, argument na.rm is ignored.

Examples

# NOT RUN {
x <- matrix(c(1, 2, 3, NA, 5, 6), nrow = 3, ncol = 2)

# Add 'y' to each column
y <- 1:2
z0 <- x + y
z1 <- x_OP_y(x, y, OP = "+")
print(z1)
stopifnot(all.equal(z1, z0))


# Add 'y' to each row
y <- 1:3
z0 <- t(t(x) + y)
z1 <- t_tx_OP_y(x, y, OP = "+")
print(z1)
stopifnot(all.equal(z1, z0))
# }