ShinyItemAnalysis (version 1.5.4)

plotMultinomial: Plot category probabilities of multinomial model

Description

Plots category probabilities functions estimated by multinom() from the nnet package using the ggplot2 package.

Usage

plotMultinomial(x, matching, matching.name = "matching")

Value

An object of class ggplot and/or gg.

Arguments

x

object of class multinom

matching

numeric: vector of matching criterion used for estimation in x.

matching.name

character: name of matching criterion used for estimation in x.

Author

Adela Hladka
Institute of Computer Science of the Czech Academy of Sciences

Tomas Jurica
Institute of Computer Science of the Czech Academy of Sciences

Patricia Martinkova
Institute of Computer Science of the Czech Academy of Sciences

See Also

nnet::multinom()

Examples

# loading data
data(GMAT, GMATtest, GMATkey, package = "difNLR")

matching <- scale(rowSums(GMAT[, 1:20])) # Z-score

# multinomial model for item 1
fit <- nnet::multinom(relevel(GMATtest[, 1], ref = paste(GMATkey[1])) ~ matching)

# plotting category probabilities
plotMultinomial(fit, matching, matching.name = "Z-score")