A toolbox for working with R arrays in a functional programming style. Flexibly split, bind, reshape, modify, subset, and name arrays.

The package provides:

`split_on_dim()`

and`split_along_dim()`

which take an array and return a list.`bind_on_dim()`

and`bind_as_dim()`

take a list and return an array.`modify_along_dim()`

takes an array, calls the passed function`.f()`

on each subset of the specified dimension, and returns an array of the same shape. (think of this as a safer and sometimes faster alternative to`base::apply()`

that is guaranteed to return an array of the same shape as it received)`extract_dim()`

a wrapper around`[`

that allows you to specify the dimension being subset as a function argument. For example,`extract_dim(X, 1, idx)`

will extract`idx`

on the first dimension, regardless how many dimensions are in the array`X`

. Contrast this with the base alternative`X[idx,,]`

, where you have to match the number of commas`,`

to the number of dimensions in`X`

.Many of the functions have two variants

`*_rows()`

and`*_cols()`

for the two most common case of the first and last dimension. For example`split_on_rows()`

which is equivalent to`split_on_dim(X, 1)`

and`split_on_cols()`

which is equivalent to`split_on_dim(X, -1)`

`set_dim()`

and`set_dimnames()`

, pipe-friendly and more flexible versions of`dim<-`

and`dimnames<-`

`dim2()<-`

,`set_dim2()`

,`array2()`

, which reshape or fills arrays using row-major (C-style) semantics`t.array()`

a transpose method for multi-dimensional arraysA handful of lower-level helpers that abstract out patterns commonly encountered while working with arrays, for example

`expand_dims()`

(the inverse of`base::drop()`

, or seq_along_rows()`(a combination of`

seq_along()`and`

nrow()`).A set of functions that help encode atomic vectors as

`onehot()`

binary matrixâ€™s and`decode_onehot()`

back into atomic vectors. (for example if training a neural network with keras)Many of the functions work recursively if provided a list of arrays.

You can install listarrays from CRAN with:

Or install the development version from github with: