Kernel: Create a Kernel object from a function of distance from...

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

Create a Kernel object from a function of distance from kernel center

Description

This function creates a Kernel object using a kernel function (FUN) that takes the distance from the center of the kernel as its first argument.

Usage

Kernel(kerndim, vdim, FUN = dnorm, ...)

Arguments

kerndim	A numeric vector representing the dimensions in voxels of the kernel.
vdim	A numeric vector representing the dimensions of the voxels in real units.
FUN	The kernel function taking its first argument representing the distance from the center of the kernel (default: dnorm).
...	Additional parameters to the kernel function, FUN.

Value

A Kernel object with the specified dimensions, voxel dimensions, and kernel function.

Examples

kdim <- c(3, 3, 3)
vdim <- c(1, 1, 1)
k <- Kernel(kerndim = kdim, vdim = vdim, FUN = dnorm, sd = 1)

bbuchsbaum/neuroim2 documentation built on Nov. 3, 2024, 9:31 a.m.