split_blocks-methods: Cut a vector-valued object into a list of sub-blocks

In bbuchsbaum/neuroim2: Data Structures for Brain Imaging Data

Cut a vector-valued object into a list of sub-blocks

Description

Splits a vector-valued object into a list of sub-blocks defined by a vector of indices.

Usage

split_blocks(x, indices, ...)

## S4 method for signature 'NeuroVec,integer'
split_blocks(x, indices, ...)

## S4 method for signature 'NeuroVec,factor'
split_blocks(x, indices, ...)

## S4 method for signature 'NeuroVec,factor'
split_blocks(x, indices, ...)

Arguments

x	a vector-valued object
indices	a vector of indices defining the sub-blocks. Must match the length of the input vector.
...	additional arguments

Value

A list of sub-blocks, where each sub-block contains the elements from x corresponding to the matching indices.

Examples

# Create a 4D neuroimaging vector with 20 timepoints
space <- NeuroSpace(c(10,10,10,20), c(1,1,1))
vec <- NeuroVec(array(rnorm(10*10*10*20), c(10,10,10,20)), space)

# Split into 4 blocks by assigning timepoints to blocks 1-4 repeatedly
block_indices <- rep(1:4, length.out=20)
blocks <- split_blocks(vec, block_indices)

bbuchsbaum/neuroim2 documentation built on Feb. 26, 2025, 3:49 p.m.