This has been removed from the package. Watch for improved modeling functions in the `mosaicModel` package.
gwm(formula, data = parent.frame(), drop = FALSE, ...)A formula. The left-hand side specifies the response variable
over which the mean or proportion will be taken. The right-hand side gives
the explanatory variables, separated by +. Means or proportions are
computed for every combination of the levels of the explanatory variables.
A data frame in which to evaluate variables in formula.
If not specified, variables
will be taken from the current environment.
Logical flag indicating whether to drop unoccupied groups.
Default FALSE. NOT YET IMPLEMENTED.
Additional arguments; currently ignored.
mm returns an object of class groupwiseModel. The functions
fitted.values, residuals, coefficients, and summary
are useful for extracting various features of the value returned by mm
gwm (groupwise model) is a sort of training function for
lm, meant to provide a basis for discussing inference and introducing
resampling in a simple, intuitive setting
of groupwise means or proportions. lm provides a better, more general facility.
When using lm to recreate the results of gwm, include all the
interaction terms (i.e., use * instead of +) and remove the
intercept term. See the examples.