link2dummy: Convert variable names to dummy variables names

In bozenne/lava.penalty: Penalized Latent Variable Models

Description

When dealing with categorical variables, the estimate function convert the categorical variables into dummy variables. This function convert a set of variable names to their corresponding name in the model with dummy variables

Usage

var2dummy(x, ...)

## S3 method for class 'list'
var2dummy(x, var, rm.first.factor = TRUE, ...)

## S3 method for class 'lvm'
var2dummy(x, data = NULL, ...)

Arguments

x	a latent variable model.
var	the variable to be transformed.
rm.first.factor	should the first level of each categorical variable be ignored?
data	dataset according to which the model should be updated.

Examples

m <- lvm()
regression(m) <- c(y1,y2,y3)~u
regression(m) <- u ~ X1+X2
lavaSearch2:::var2dummy(m, var = c("X1","X2"))
categorical(m,labels=c("M","F","MF")) <- ~X1
lavaSearch2:::var2dummy(m, var = c("X1","X2"))
categorical(m,labels=c("1","2","3")) <- ~X2
lavaSearch2:::var2dummy(m, var = c("X1","X2"))

bozenne/lava.penalty documentation built on May 13, 2019, 1:41 a.m.