mm_BuildModel: Build, implement, visualize multivariate linear model.

In ehrlichd/moRphomenses: Geometric Morphometric Tools to Align, Scale, and Compare "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. For detailed models or specific combinations of variables, see geomorph::procD.lm for full use of this function.

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. Individual models are run with interaction effects.
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 interaction/confounding factors. Set univ_series=TRUE to produce a series of model sets, one for each covariate specified (NOTE: ff1 must also be NULL for this to work).

Value

A list containing output of one or more multivariate linear models that can be inspected on their own or interacted with using mm_VizModel or mm_CompModel.

ehrlichd/moRphomenses documentation built on Jan. 9, 2025, 6:29 p.m.