These functions perform logical operations on arrays, with broadcasting. They power the logical operators of &, |, and ! with rrays, but are also exported for use with base R objects.

rray_logical_and(x, y)

rray_logical_or(x, y)

rray_logical_not(x)

rray_any(x, axes = NULL)

rray_all(x, axes = NULL)

## Arguments

x, y Vectors, matrices, arrays, or rrays. An integer vector specifying the axes to reduce over. 1 reduces the number of rows to 1, performing the reduction along the way. 2 does the same, but with the columns, and so on for higher dimensions. The default reduces along all axes.

## Value

The value of the logical comparison, with broadcasting.

rray_any() and rray_all() return a logical object with the same shape as x everywhere except along axes, which have been reduced to size 1.

## Details

The operators themselves rely on R's dispatching rules to dispatch to the correct rray logical operator. When comparing rrays with base R matrices and arrays, this generally works fine. However, if you compare classed objects like factor("x") & rray(1) then a fall through error is thrown. There is nothing we can do about this. See ?groupGeneric for more information on this.

The behavior of comparing an array with a length 0 dimension with another array is slightly different than base R since broadcasting behavior is well defined. Length 0 dimensions are not exceptions to the normal broadcasting rules. Comparing dimensions of 0 and 1, the common dimension is 0 because 1 always becomes the other dimension in the comparison. On the other hand, comparing dimensions 0 and 2 is an error because neither are 1, and they are not identical.

## Examples

x <- rray(TRUE, c(2, 2, 3))
y <- matrix(c(TRUE, FALSE))

# TRUE wherever y is broadcasted to be TRUE
x & y#> <rray<lgl>[,2,3][2]>
#> , , 1
#>
#>       [,1]  [,2]
#> [1,]  TRUE  TRUE
#> [2,] FALSE FALSE
#>
#> , , 2
#>
#>       [,1]  [,2]
#> [1,]  TRUE  TRUE
#> [2,] FALSE FALSE
#>
#> , , 3
#>
#>       [,1]  [,2]
#> [1,]  TRUE  TRUE
#> [2,] FALSE FALSE
#>
# ---------------------------------------------------------------------------
# Behavior with edge cases

x <- rray(TRUE, c(1, 2))

# The common dim is (0, 2)
logical() & x#> <rray<lgl>[,2][0]>
#>      [,1] [,2]
# You can have empty arrays with shape
# The common dim is (0, 2, 2)
y <- array(logical(), c(0, 1, 2))
x & y#> <rray<lgl>[,2,2][0]>
#> , , 1
#>
#>      [,1] [,2]
#>
#> , , 2
#>
#>      [,1] [,2]
#>