preAnova: Parameter checks and data preparation in 'arrayAnova'
In tdeenes/eegR: Analyze EEG Signals

preAnova performs parameter checking, creates a data.frame for the ANOVA design and reshapes .arraydat accordingly, prepares the computation of sum-of-squares. It is called by arrayAnova and tanova.

1	preAnova(.arraydat, factordef, bwdat, verbose, tfce, perm, tanova_type = NULL)

`.arraydat`	numeric array
`factordef`	a list of between-subject factors (named 'between'), within-subject factors ('within'), subject identifier ('w_id'), and a character vector of observed (i.e., not manipulated) variables ('observed'). The last element ('observed') is only used in effect size computations.
`bwdat`	a data.frame with the subject-level variables (usually factors)
`tfce`	logical value whether TFCE is requested
`perm`	logical value whether permutation is requested
`tanova_type`	type of tanova ("tanova", "dissimilarity", "gfp") if this function is called from `tanova`

arrayAnova and tanova are the higher-level function exported to the user, preSumSq, compF and compTanovaEffect are internal functions relying on the returned object of preAnova.