mm_BuildModel: Build, implement, visualize multivariate linear model.

In ehrlichd/moRphomenses: Align, Scale, and Visualize "Shape" of Menstrual Cycle Hormones

Build, implement, visualize multivariate linear model.

Description

Easily evaluate simple model sets (one covariate with up to 2 additional classifiers/covariates). Helpful for exploratory analysis.

Usage

mm_BuildModel(shape_data, ..., subgrps = NULL, ff1 = NULL, univ_series = FALSE)

Arguments

shape_data	This will be the (multivariate) response variable
...	Covariate(s)/classifier(s) to build a model set. Indvidual models are run (with interaction).
subgrps	Optional. Vector of group membership. Model sets will be run across the whole sample and subgroups. If k is specified, only the full model will be run.
ff1	An explicit model to test in the format: " coords ~ ...". Names must match those specifed in .... Standard lm notation applies.
univ_series	Default (FALSE) will evaluate multiple covariates and their interaction in a single model. However, it can be helpful to understand the univariate effects in isolation of interation/confounding factors. Set univ_series to TRUE to produce a series of model sets, one for each covariate specified (NOTE: ff1 must also be NULL for this to work).

Details

For detailed model or specific combinations of variables, see geomorph::procDlm for full use of this function.

ehrlichd/moRphomenses documentation built on March 10, 2024, 3:06 a.m.