rowMadDiffs {MatrixGenerics} | R Documentation |
Calculates the mean absolute deviation of the difference between each element of a row (column) of a matrix-like object
Description
Calculates the mean absolute deviation of the difference between each element of a row (column) of a matrix-like object.
Usage
rowMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L,
trim = 0, ..., useNames = NA)
## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
rowMadDiffs(x, rows = NULL,
cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...,
useNames = NA)
## S4 method for signature 'ANY'
rowMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE,
diff = 1L, trim = 0, ..., useNames = NA)
colMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L,
trim = 0, ..., useNames = NA)
## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
colMadDiffs(x, rows = NULL,
cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...,
useNames = NA)
## S4 method for signature 'ANY'
colMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE,
diff = 1L, trim = 0, ..., useNames = NA)
Arguments
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. |
useNames |
If |
Details
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowMadDiffs
/ matrixStats::colMadDiffs
.
Value
Returns a numeric
vector
of length N (K).
See Also
-
matrixStats::rowMadDiffs()
andmatrixStats::colMadDiffs()
which are used when the input is amatrix
ornumeric
vector.
Examples
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)