rowMadDiffs {MatrixGenerics} | R Documentation |
Calculates the mean absolute deviation of the difference between each element of a row (column) of a matrix-like object.
rowMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...) ## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric' rowMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...) ## S4 method for signature 'ANY' rowMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...) colMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...) ## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric' colMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...) ## S4 method for signature 'ANY' colMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...)
x |
An NxK matrix-like object. |
rows, cols |
A |
na.rm |
|
diff |
An integer specifying the order of difference. |
trim |
A double in [0,1/2] specifying the fraction of observations to be trimmed from each end of (sorted) x before estimation. |
... |
Additional arguments passed to specific methods. |
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowMadDiffs
/ matrixStats::colMadDiffs
.
Returns a numeric
vector
of length N (K).
matrixStats::rowMadDiffs()
and
matrixStats::colMadDiffs()
which
are used when the input is a matrix
or numeric
vector.
mat <- matrix(rnorm(15), nrow = 5, ncol = 3) mat[2, 1] <- NA mat[3, 3] <- Inf mat[4, 1] <- 0 print(mat) rowMadDiffs(mat) colMadDiffs(mat)