colSums,matrix-method {arrayhelpers} | R Documentation |
These functions extend the respective base functions by (optionally) preserving the shape of the array (i.e. the summed dimensions have length 1).
## S4 method for signature 'matrix' colSums(x, na.rm = FALSE, dims = 1L, drop = TRUE) colSums.AsIs(x, ...) ## S4 method for signature 'array' colSums(x, na.rm = FALSE, dims = 1L, drop = TRUE) ## S4 method for signature 'matrix' colMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE) colMeans.AsIs(x, ...) ## S4 method for signature 'array' colMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE) ## S4 method for signature 'matrix' rowSums(x, na.rm = FALSE, dims = 1L, drop = TRUE) rowSums.AsIs(x, ...) ## S4 method for signature 'array' rowSums(x, na.rm = FALSE, dims = 1L, drop = TRUE) ## S4 method for signature 'matrix' rowMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE) rowMeans.AsIs(x, ...) ## S4 method for signature 'array' rowMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)
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 |
drop |
If |
... |
the |
like colSums
if drop = TRUE
, otherwise an array where the
summed dimensions have length 1.
Claudia Beleites
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)