plotCumulative {ShinyItemAnalysis} | R Documentation |
Function for plotting cumulative and category probabilities
function estimated by vglm()
function from the VGAM
package
using the ggplot2 package.
plotCumulative(x, type = "cumulative", matching.name = "matching")
x |
object of class |
type |
character: type of plot to be displayed. Options are
|
matching.name |
character: name of matching criterion used for
estimation in |
An object of class ggplot
and/or gg
.
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
# 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) # cumulative logit model for item 1 fit <- vglm(Science[, 1] ~ score, family = cumulative(reverse = TRUE, parallel = TRUE)) # coefficients for item 1 coef(fit) plotCumulative(fit, type = "cumulative", matching.name = "Total score") plotCumulative(fit, type = "category", matching.name = "Total score")