vertexSummaries: Create descriptive statistics across a series of vertex files

In Mouse-Imaging-Centre/RMINC: Statistical Tools for Medical Imaging NetCDF (MINC) Files

Create descriptive statistics across a series of vertex files

Description

This function is used to compute the mean, standard deviation, sum, or variance of every vertex in a set of vertex files.

Usage

vertexMean(filenames, column = 1)

vertexSum(filenames, column = 1)

vertexVar(filenames, column = 1)

vertexSd(filenames, column = 1)

Arguments

filenames	Filenames of the vertex volumes across which to create the descriptive statistic.
column	Which column to treat as the input from vertex files.

Value

out	The output will be a single vector containing as many elements as there are vertices in the input files.

Functions

• vertexMean: mean

• vertexSum: sum

• vertexVar: var

• vertexSd: standard deviation

See Also

vertexLm

Examples

## Not run: 
# read the text file describing the dataset
gf <- read.csv("control-file.csv")
# compute the mean at every voxel of all files.
means <- vertexMean(gf$filenames)

## End(Not run)

Mouse-Imaging-Centre/RMINC documentation built on Nov. 12, 2022, 1:50 p.m.