Removes rows/columns in an array-like object using a predicate function.
discard(x, ...)discard_cols(x, ...)
discard_rows(x, ...)
# S4 method for ANY
discard(
x,
f,
margin = 1,
negate = FALSE,
all = FALSE,
na.rm = FALSE,
verbose = getOption("arkhe.verbose"),
...
)
# S4 method for ANY
discard_rows(
x,
f,
negate = FALSE,
all = FALSE,
na.rm = FALSE,
verbose = getOption("arkhe.verbose"),
...
)
# S4 method for ANY
discard_cols(
x,
f,
negate = FALSE,
all = FALSE,
na.rm = FALSE,
verbose = getOption("arkhe.verbose"),
...
)
An R object (should be a matrix
or a data.frame
).
Further arguments to be passed to f
.
A predicate function
.
A length-one numeric
vector giving the subscripts which the
function will be applied over (1
indicates rows, 2
indicates columns).
A logical
scalar: should the negation of f
be used
instead of f
?
A logical
scalar. If TRUE
, only the rows/columns whose
values all meet the condition defined by f
are considered. If FALSE
(the default), only rows/columns where at least one value validates the
condition defined by f
are considered.
A logical
scalar: should NA
values be stripped before the
computation proceeds?
A logical
scalar: should R report extra information
on progress?
N. Frerebeau
## Create a data matrix
X <- matrix(sample(1:10, 25, TRUE), nrow = 5, ncol = 5)
## Add NA
k <- sample(1:25, 3, FALSE)
X[k] <- NA
X
## Remove row with any NA
discard(X, f = is.na, margin = 1, all = FALSE)
## Remove column with any NA
discard(X, f = is.na, margin = 2, all = FALSE)
Run the code above in your browser using DataLab