plotSEMM_contour {plotSEMM}R Documentation

Nonlinear regression function

Description

Requires plotSEMM_setup be run first. Generates (a) the potential nonlinear regression function; (b) bivariate distribution of the latent variables; (c) marginal distributions of the latent variables; (d) within class linear regression functions; and (e) within class marginal distributions for the latent variables.

Usage

plotSEMM_contour(EtaN2, EtaN1, classinfo, lnty, lncol, title, leg)

Arguments

EtaN2 Label for the X axis. If no value is provided, defaults to "Eta2."
EtaN1 Label for the Y axis. If no value is provided, defaults to "Eta1."
classinfo Logical variable. TRUE shows the lines for each class as well as the combined estimate. FALSE shows only the combined estimate. If no value is provided, defaults to TRUE.
lnty Determines the line types used for the class lines. If no value is provided, defaults to 3. See par for information about line type.
lncol Determines the line colors used for the class lines. If no value is provided, defaults to 1. See par for information about line type.
title Titles the graph.
leg Logical variable. If TRUE, a legend accompanies the graph. If FALSE, no legend appears. Defaults to TRUE.

Value

None.

Author(s)

Bethany E. Kok, Jolynn Pek, Sonya Sterba and Dan Bauer

References

http://www.bethanykok.com/plotSEMM.html

See Also

plotSEMM_setup,plotSEMM_probability

Examples

## code for latent variables with two classes
pi <- c(0.602, 0.398)

alpha1 <- c(3.529, 2.317)

alpha2 <- c(0.02, 0.336)

beta21 <- c(0.152, 0.053)

psi11 <- c(0.265, 0.265)

psi22 <- c(0.023, 0.023)

 
plotSEMM_setup(pi, alpha1, alpha2, beta21, psi11, psi22)


plotSEMM_contour()

plotSEMM_contour(EtaN1 = "Latent Predictor", EtaN2 = "Latent Outcome", classinfo = FALSE, lncol = 5)


[Package plotSEMM version 1.0 Index]