gvcm.cat (version 1.3)

index: Functions to Build Design Matrices and Indices for Function gvcm.cat()

Description

design() builds design matrices considering special formula terms v() and p(). index() computes several indices with different information about each term of the formula.

Usage

design(formula, data)

index(dsgn, data)

Arguments

formula

an object of class "formula"; see gvcm.cat

data

a data frame; see gvcm.cat

dsgn

value of function design()

Value

• X
  the model matrix
• Terms
  the according terms.object
• m
  the model frame
• int
  either 0, indicating that the intercept is varying, or 1 indicating that the intercept is constant
• formula
  sorted version of the given formula, index vectors will refer to this formula
• index1
  a vector; its length equals the number of the formula's terms including the intercept, each entry gives the number of coefficients belonging to the according term. An entry is 1 if the according term is metric, it equals the number of the coded variable's categories, if the variable is a factor. If a continuous variable is modified by a factor u the entry equals the number of u's categories
• index2
  a vector of the same length as index1; indicates varying coefficients. An entry is 0 if the according coefficient is not varying, it is -1 if the according coefficient is nominal, 1 if it is ordinal
• index3
  a vector of the same length as index1; indicates penalized covariates p(u). An entry is 0 if the according covariate is not penalized, it is -1 if the according covariate is nominal, 1 if it is ordinal or metric

See Also

Functions pest, abc

Examples

## continues example of function simulation
f <- y ~ v(1,u) + v(x1,u) + v(x2,u)
dsgn <- design(f, data)
index(dsgn, data)