detect {arkhe} R Documentation

## Find rows/columns using a predicate

### Description

Finds rows/columns in an array-like object using a predicate function.

### Usage

detect(x, f, ...)

## S4 method for signature 'ANY,'function''
detect(x, f, margin = 1, negate = FALSE, all = FALSE)


### Arguments

 x An object (should be a matrix or a data.frame). f A predicate function. ... Currently not used. margin A vector giving the subscripts which the function will be applied over (1 indicates rows, 2 indicates columns). negate A logical scalar: should the negation of f be used instead of f? all 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.

### Value

A logical vector.

### Author(s)

N. Frerebeau

Other data cleaning tools: compact(), count(), discard(), infinite, keep(), missing, zero

### Examples

## Create a count data matrix
X <- matrix(sample(1:10, 25, TRUE), nrow = 5, ncol = 5)

k <- sample(1:25, 3, FALSE)
X[k] <- NA
X

## Count missing values in rows
count(X, f = is.na, margin = 1)
## Count non-missing values in columns
count(X, f = is.na, margin = 2, negate = TRUE)

## Find row with NA
detect(X, f = is.na, margin = 1)
## Find column without any NA
detect(X, f = is.na, margin = 2, negate = TRUE, all = TRUE)

## Keep row without any NA
keep(X, f = is.na, margin = 1, negate = TRUE, all = TRUE)
## Keep row without any NA
keep(X, f = is.na, margin = 2, negate = TRUE, all = TRUE)

## 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)

## Replace NA with zeros
replace_NA(X, value = 0)


[Package arkhe version 1.0.0 Index]