gen.latent.vars: Generate latent underlying variables given imputed question...

In rosiezou/440proj: Analyze Continuous Latent Variables From Ordinal Survey Responses

Description

Given ordinal responses to survey questions, we generate the underlying latent variables that correspond to those questions

Usage

gen.latent.vars(data, grp.indicator, scores = "Bartlett", num.iter = 5)

Arguments

data	a (non-empty) numeric vector of data values.
grp.indicator	a (non-empty) numeric vector of data values.
scores	type of score to use.
num.iter	number of iterations to use in imputation step

Value

A data.frame containing the underlying latent variable estimates.

Examples

# Create indicators (a label indicating which latent variable the question corresponds to)
grp.indicator <- sapply(names(multiis), FUN =
                         function(x){strsplit(x, split = "_")[[1]][2]})

latent.vars <- gen.latent.vars(multiis, grp.indicator = grp.indicator, num.iter = 5)

head(latent.vars)

rosiezou/440proj documentation built on May 12, 2019, 6:25 p.m.