plotSEMM_probability: Probability plot

In plotSEMM: Graphing Nonlinear Relations Among Latent Variables from Structural Equation Mixture Models

Description

Requires plotSEMM_setup be run first. Generates a plot which expresses the mixing probabilities for each latent class conditioned on the latent predictor.

Usage

plotSEMM_probability(SEMLIdatapks, EtaName = "Eta1", lnty = 3, lncol = 1,
  title = "", leg = TRUE, cex = 1.5, ...)

Arguments

SEMLIdatapks	object returned from plotSEMM_setup
EtaName	Label of the latent predictor. If no value is provided, defaults to Eta1.
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.
cex	par(cex) value. Default is 1.5
...	addition inputs, mostly from plotSEMM_GUI()

Author(s)

Bethany Kok and Phil Chalmers [e-mail]

References

Pek, J. & Chalmers, R. P. (2015). Diagnosing Nonlinearity With Confidence Envelopes for a Semiparametric Approach to Modeling Bivariate Nonlinear Relations Among Latent Variables. Structural Equation Modeling, 22, 288-293. doi: 10.1080/10705511.2014.937790

Pek, J., Chalmers, R. P., Kok B. E., & Losardo, D. (2015). Visualizing Confidence Bands for Semiparametrically Estimated Nonlinear Relations among Latent Variables. Journal of Educational and Behavioral Statistics, 40, 402-423. doi: 10.3102/1076998615589129

See Also

plotSEMM_setup, plotSEMM_contour

Examples

## Not run: 
# 2 class empirical example on positive emotions and heuristic processing in
# Pek, Sterba, Kok & Bauer (2009)
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)


plotobj <- plotSEMM_setup(pi, alpha1, alpha2, beta21, psi11, psi22)

plotSEMM_probability(plotobj)

plotSEMM_probability(plotobj , EtaName = "Latent Predictor", lnty = 2, title = "Probability")

## End(Not run)

Example output

Loading required package: plyr
Loading required package: shiny
Warning messages:
1: In seq_len(length.out - 2L) * by :
  Recycling array of length 1 in vector-array arithmetic is deprecated.
  Use c() or as.vector() instead.

2: In from + seq_len(length.out - 2L) * by :
  Recycling array of length 1 in array-vector arithmetic is deprecated.
  Use c() or as.vector() instead.

3: In seq_len(length.out - 2L) * by :
  Recycling array of length 1 in vector-array arithmetic is deprecated.
  Use c() or as.vector() instead.

4: In from + seq_len(length.out - 2L) * by :
  Recycling array of length 1 in array-vector arithmetic is deprecated.
  Use c() or as.vector() instead.

plotSEMM documentation built on May 1, 2019, 8:07 p.m.