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
setup_randomise(X, con.mat, nC)randomise(ctype, N, perms, DT, nC, measure, X, con.mat, alternative)
Numeric matrix, if you wish to supply your own design matrix
(default: NULL)
Numeric matrix specifying the contrast(s) of interest; if only one contrast is desired, you can supply a vector
Integer; the number of contrasts
Integer; number of permutations to create (default: 5e3)
Matrix of permutations, if you would like to provide your own
(default: NULL)
data.table with outcome variables
Character string of the graph measure of interest
Character string, whether to do a two- or one-sided test
(default: 'two.sided')
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.