| rowSdDiffs {MatrixGenerics} | R Documentation |
Calculates the standard deviation of the difference between each element of a row (column) of a matrix-like object
Description
Calculates the standard deviation of the difference between each element of a row (column) of a matrix-like object.
Usage
rowSdDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L,
trim = 0, ..., useNames = TRUE)
## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
rowSdDiffs(x, rows = NULL,
cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...,
useNames = TRUE)
## S4 method for signature 'ANY'
rowSdDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE,
diff = 1L, trim = 0, ..., useNames = TRUE)
colSdDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L,
trim = 0, ..., useNames = TRUE)
## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
colSdDiffs(x, rows = NULL,
cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...,
useNames = TRUE)
## S4 method for signature 'ANY'
colSdDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE,
diff = 1L, trim = 0, ..., useNames = TRUE)
Arguments
x |
An NxK matrix-like object. |
rows, cols |
A |
na.rm |
If |
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, table, or numeric call
matrixStats::rowSdDiffs /
matrixStats::colSdDiffs.
Value
Returns a numeric vector of length N (K).
See Also
-
matrixStats::rowSdDiffs()andmatrixStats::colSdDiffs()which are used when the input is amatrixornumericvector. for the direct standard deviation see
rowSds().
Examples
mat <- matrix(rnorm(15), nrow = 5, ncol = 3)
mat[2, 1] <- NA
mat[3, 3] <- Inf
mat[4, 1] <- 0
print(mat)
rowSdDiffs(mat)
colSdDiffs(mat)