arrayhelpers (version 1.1-0)

colSums,matrix-method: Row and column sums and means for numeric arrays.

Description

These functions extend the respective base functions by (optionally) preserving the shape of the array (i.e. the summed dimensions have length 1).

Usage

# S4 method for matrix
colSums(x, na.rm = FALSE, dims = 1L, drop = TRUE)
colSums.AsIs(x, ...)
# S4 method for array
colSums(x, na.rm = FALSE, dims = 1L, drop = TRUE)
# S4 method for matrix
colMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)
colMeans.AsIs(x, ...)
# S4 method for array
colMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)
# S4 method for matrix
rowSums(x, na.rm = FALSE, dims = 1L, drop = TRUE)
rowSums.AsIs(x, ...)
# S4 method for array
rowSums(x, na.rm = FALSE, dims = 1L, drop = TRUE)
# S4 method for matrix
rowMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)
rowMeans.AsIs(x, ...)
# S4 method for array
rowMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)

Arguments

x

an array of two or more dimensions, containing numeric, complex, integer or logical values, or a numeric data frame.

na.rm

logical indicating treatment of missing values

dims

integer: Which dimensions are regarded as ‘rows’ or ‘columns’ to sum over. For row*, the sum or mean is over dimensions dims + 1, …; for col* it is over dimensions 1 : dims.

drop

If FALSE, the number of dimensions is retained: the length of the dimensions that are summed or averaged is set to 1. TRUE yield the same behaviour as colSums

...

the signature = "AsIs" methods hand on all parameters

Value

like colSums if drop = TRUE, otherwise an array where the summed dimensions have length 1.

See Also

colSums

Examples

# NOT RUN {
a <- array (1 : 24, 4 : 2)
a

rowSums (a)
rowSums (a, drop = FALSE)

colSums (a)
colSums (a, drop = FALSE)

colSums (a, dim = 2)
colSums (a, dim = 2, drop = FALSE)

# }