plotMultinomial: Plot category probabilities of multinomial model

In patriciamar/ShinyItemAnalysis: Test and Item Analysis via Shiny

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")

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.

Value

An object of class ggplot and/or gg.

Author(s)

Adela Hladka
Institute of Computer Science of the Czech Academy of Sciences
[e-mail]

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

Patricia Martinkova
Institute of Computer Science of the Czech Academy of Sciences
[e-mail]

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")

patriciamar/ShinyItemAnalysis documentation built on May 18, 2023, 4:34 p.m.