getTissueSubclasses: Create images for each identified tissue subclass.

In mknoll/imageanalysisBrain: Analysis of Brain Imaging Data

Description

Creates brainImage instances for each subclass preserving the original dimensions.

Usage

getTissueSubclasses(data, split)

Arguments

data	data.frame of volume to split
split	data.frame (key, val) with values to split at (keys)

Value

returns a list where all list elements contain data subsets belonging to the identified tissue class

Examples

data <- data.frame(x=rep(1:10, 5), 
y=c(rep(1,10),rep(2,10),rep(3,10),rep(4,10),rep(5, 10)), 
z=rep(1, 50), val=rnorm(50))
img <- new("brainImage", data, "test", 10)
getTissueSubclasses(img, data.frame(key=median(data$val), val=NA))

mknoll/imageanalysisBrain documentation built on May 23, 2019, 2:01 a.m.