rbfunc: Radial Basis Function

In mand: Multivariate Analysis for Neuroimaging Data

Radial Basis Function

Description

This makes a radial basis function.

Usage

rbfunc(imagedim, seppix, hispec = FALSE, mask = NULL, brainpos = NULL)

Arguments

imagedim	a vector indicating image three dimension.
seppix	a numeric. distance between knots.
hispec	a logical. TRUE produces a matrix output. FALSE produces a list output to reduce the data memorry.
mask	a vector.
brainpos	a logical vector.

Details

rbfunc requires the dimensions of the original image to be applied and the knot interval. The output is obtained as a matrix, with the number of rows corresponding to the number of voxels in the original image and the number of columns determined by the knot spacing. By setting hispec = TRUE, you can get the output in list format with a smaller memory.

Examples

imagedim1=c(10,10,10)

B1 = rbfunc(imagedim=imagedim1, seppix=4, hispec=TRUE)
B2 = rbfunc(imagedim=imagedim1, seppix=4, hispec=FALSE)

mand documentation built on Sept. 13, 2023, 1:06 a.m.