rray_dim_n() computes the dimensionality (i.e. the number of dimensions).

rray_dim_n(x)

## Arguments

x An object.

## Value

An integer vector containing the number of dimensions of x.

## Details

One point worth mentioning is that rray_dim_n() is very strict. It does not simply call the generic function dim() and then check the length. Rather, it explicitly pulls the attribute for the "dim", and checks the length of that. If an object does not have an attribute, then the dimensionality is 1.

This means that data frames have a dimensionality of 1, even though dim() defines a method for data frames that would imply a dimensionality of 2.

## Examples

x_1_by_4 <- rray(c(1, 2, 3, 4), c(1, 4))

rray_dim_n(x_1_by_4)#> [1] 2
# NULL has a dimensionality of 1
rray_dim_n(NULL)#> [1] 1
# The dimensionality of a data frame is 1
rray_dim_n(data.frame())#> [1] 1