| rowAlls | R Documentation |
Checks if a value exists / does not exist in each row (column) of a matrix.
rowAlls(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE,
dim. = dim(x), ..., useNames = TRUE)
colAlls(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE,
dim. = dim(x), ..., useNames = TRUE)
allValue(x, idxs = NULL, value = TRUE, na.rm = FALSE, ...)
rowAnys(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE,
dim. = dim(x), ..., useNames = TRUE)
colAnys(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE,
dim. = dim(x), ..., useNames = TRUE)
anyValue(x, idxs = NULL, value = TRUE, na.rm = FALSE, ...)
x |
An NxK |
rows |
A |
cols |
A |
value |
A value to search for. |
na.rm |
If |
dim. |
An |
... |
Not used. |
useNames |
If |
idxs |
A |
These functions takes either a matrix or a vector as input. If a vector,
then argument dim. must be specified and fulfill prod(dim.) ==
length(x). The result will be identical to the results obtained when
passing matrix(x, nrow = dim.[1L], ncol = dim.[2L]), but avoids
having to temporarily create/allocate a matrix, if only such is needed
only for these calculations.
rowAlls() (colAlls()) returns an
logical vector of length N (K).
Analogously for rowAnys() (rowAlls()).
valueWhen value is logical, the result is as if the function is applied
on as.logical(x). More specifically, if x is numeric, then
all zeros are treated as FALSE, non-zero values as TRUE,
and all missing values as NA.
Henrik Bengtsson
rowCounts
x <- matrix(FALSE, nrow = 10, ncol = 5)
x[3:7, c(2, 4)] <- TRUE
x[2:4, ] <- TRUE
x[, 1] <- TRUE
x[5, ] <- FALSE
x[, 5] <- FALSE
print(x)
print(rowCounts(x)) # 1 4 4 4 0 3 3 1 1 1
print(colCounts(x)) # 9 5 3 5 0
print(rowAnys(x))
print(which(rowAnys(x))) # 1 2 3 4 6 7 8 9 10
print(colAnys(x))
print(which(colAnys(x))) # 1 2 3 4
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