plotSEMM_probability {plotSEMM}R Documentation

Probability plot

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(EtaName, lnty, lncol, title, leg)

Arguments

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.

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_contour

Examples

## 2 class empirical example on positive emotions and heuristic processing in Pek, Sterba, Kok & Bauer (XXXX)
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_probability()

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


[Package plotSEMM version 1.0 Index]