scale_series-methods: Generic functions to scale (center and/or normalize by...

In bbuchsbaum/neuroim2: Data Structures and IO for Neuroimaging Data with an Emphasis on Functional Magnetic Resonance Imaging (FMRI)

Generic functions to scale (center and/or normalize by standard deviation) each series of a 4D image That is, if the 4th dimension is 'time' each series is a 1D time series.

Description

Generic functions to scale (center and/or normalize by standard deviation) each series of a 4D image That is, if the 4th dimension is 'time' each series is a 1D time series.

Usage

scale_series(x, center, scale)

## S4 method for signature 'NeuroVec,logical,missing'
scale_series(x, center, scale)

## S4 method for signature 'NeuroVec,logical,logical'
scale_series(x, center, scale)

## S4 method for signature 'NeuroVec,missing,logical'
scale_series(x, center, scale)

## S4 method for signature 'NeuroVec,missing,missing'
scale_series(x, center, scale)

Arguments

x	a four dimensional image
center	a logical value indicating whether series should be centered
scale	a logical value indicating whether series should be divided by standard deviation

Examples

bvec <- NeuroVec(array(rnorm(24*24*24*24), c(24,24,24,24)), NeuroSpace(c(24,24,24,24), c(1,1,1)))
res <- scale_series(bvec, TRUE, TRUE)

bbuchsbaum/neuroim2 documentation built on June 4, 2024, 11:23 p.m.