plotSEMM_probability {plotSEMM} | R Documentation |
Requires plotSEMM_setup
be run first. Generates a plot which expresses the mixing probabilities for each latent class conditioned on the latent predictor.
plotSEMM_probability(EtaName, lnty, lncol, title, leg)
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. |
None.
Bethany E. Kok, Jolynn Pek, Sonya Sterba and Dan Bauer
http://www.bethanykok.com/plotSEMM.html
plotSEMM_setup
,plotSEMM_contour
## 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")