Min Reduction

Finds the minimum of array elements along the specified axes.

Usage

nv_reduce_min(x, axes = NULL, drop = TRUE, nan_rm = FALSE)

Arguments

x

(arrayish)
Input array.

axes

(integer() | NULL)
Axes to reduce. Negative values count from the end, i.e. -1 refers to the last axis. If NULL (default), reduces over all axes, returning a scalar.

drop

(logical(1))
Whether to drop reduced axes.

nan_rm

(logical(1))
How to handle NaN values in floating-point inputs. If FALSE (default), NaN propagates. If TRUE, NaN values are skipped.

Value

arrayish
Has the same data type as the input. When drop = TRUE, the reduced axes are removed. When drop = FALSE, the reduced axes are set to 1.

See also

prim_reduce_min() for the underlying primitive.

Examples

x <- nv_matrix(1:6, nrow = 2)
nv_reduce_min(x)            # all axes -> scalar
#> AnvlArray
#>  1
#> [ CPUi32{} ] 
nv_reduce_min(x, axes = 1L)
#> AnvlArray
#>  1
#>  3
#>  5
#> [ CPUi32{3} ] 
nv_reduce_min(nv_array(c(1, NaN, 3)))
#> AnvlArray
#>  nan
#> [ CPUf32{} ] 
nv_reduce_min(nv_array(c(1, NaN, 3)), nan_rm = TRUE)
#> AnvlArray
#>  1
#> [ CPUf32{} ]