plotAdjacent {ShinyItemAnalysis} | R Documentation |
Plot category probabilities of adjacent category logit model
Description
Function for plotting category probabilities function estimated
by vglm()
function from the VGAM
package using the
ggplot2 package.
Usage
plotAdjacent(x, matching.name = "matching")
Arguments
x |
object of class |
matching.name |
character: name of matching criterion used for
estimation in |
Value
An object of class ggplot
and/or gg
.
Author(s)
Tomas Jurica
Institute of Computer Science of the Czech Academy of Sciences
Adela Hladka
Institute of Computer Science of the Czech Academy of Sciences
hladka@cs.cas.cz
Patricia Martinkova
Institute of Computer Science of the Czech Academy of Sciences
martinkova@cs.cas.cz
See Also
Examples
# loading packages
library(VGAM)
# loading data
data(Science, package = "mirt")
# total score calculation
score <- rowSums(Science)
Science[, 1] <- factor(Science[, 1], levels = sort(unique(Science[, 1])), ordered = TRUE)
# adjacent category logit model for item 1
fit <- vglm(Science[, 1] ~ score, family = acat(reverse = FALSE, parallel = TRUE))
# coefficients for item 1
coef(fit)
plotAdjacent(fit, matching.name = "Total score")
[Package ShinyItemAnalysis version 1.5.1 Index]