randomise: Helper function to setup for randomise

Description Usage Arguments Details

View source: R/brainGraph_GLM.R

Description

setup_randomise is used to setup the data/objects for any function that does permutations for GLM-based analysis.

Randomize and fit a model and find the maximum statistic

Usage

1
2
3
setup_randomise(X, con.mat, nC)

randomise(ctype, N, perms, DT, nC, measure, X, con.mat, alternative)

Arguments

X

Numeric matrix, if you wish to supply your own design matrix (default: NULL)

con.mat

Numeric matrix specifying the contrast(s) of interest; if only one contrast is desired, you can supply a vector

nC

Integer; the number of contrasts

N

Integer; number of permutations to create (default: 5e3)

perms

Matrix of permutations, if you would like to provide your own (default: NULL)

DT

data.table with outcome variables

measure

Character string of the graph measure of interest

alternative

Character string, whether to do a two- or one-sided test (default: 'two.sided')

Details

The tasks performed by this function are: separate the design matrix into the independent variables of interest and nuisance variables (based on the contrast(s)), and calculate the new contrast(s) based on this new design matrix.


brainGraph documentation built on May 29, 2018, 9:03 a.m.