scalingPlot: Graphs estimated scale values by integers of the LMA...

In pleLMA: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models

Description

This function plots the estimated item scale values (i.e, nus) by integers to see shape of scaling of the categories.A linear regression is overlaid in the plot to help assess linearity. The dashed red line overlaid in the plot is the linear regression line of the scale values on integers.

Usage

scalingPlot(model.fit)

Arguments

model.fit

Output from a nominal model

Value

plots of estimated scale values by integers

Examples

#--- some data, 2 items from depression, anxiety and stress scales
#    for 250 cases out of possible 1000
 data(dass)
 inData <- dass[1:250,c("d1", "d2", "a1", "a2", "s1", "s2")]
 inTraitAdj  <- matrix(1, nrow=1, ncol=1)
 inItemTraitAdj <- matrix(1, nrow=6, ncol=1)
 n1 <- ple.lma(inData, model.type="nominal", inItemTraitAdj, inTraitAdj, tol=1e-03)
 scalingPlot(n1)

pleLMA documentation built on Oct. 6, 2021, 1:08 a.m.