plotICC | R Documentation |
plot.ICC
plots the ICCs for the GUM and the GGUM.
plotICC(IP, Th, items = NULL, quiet = FALSE)
IP |
Object of class |
Th |
Theta estimates from function |
items |
Vector indicating the items for which the ICCs are to be plotted. Default is all items. |
quiet |
Render all plots for |
The function returns the correlation between observed and expected item scores (missing values pairwise removed).
This function plots the item characteristic curves (ICCs).
Jorge N. Tendeiro, tendeiro@hiroshima-u.ac.jp
## Not run: # For GUM: # Generate data # (toy example: Too few items (due to computation time constraints) for # accurate estimation of person parameters; larger number of items is # required in practice): gen1 <- GenData.GGUM(400, 5, 3, "GUM", seed = 139) # Fit the GUM: fit1 <- GUM(gen1$data, 3) th1 <- Theta.EAP(fit1) # Plot ICCs: plotICC(fit1, th1, items = 1, quiet = TRUE) ## End(Not run) ## Not run: # For GGUM: # Generate data: set.seed(1); C <- sample(3:5, 10, replace = TRUE) gen2 <- GenData.GGUM(2000, 10, C, "GGUM", seed = 156) # Fit the GGUM: fit2 <- GGUM(gen2$data, C) th2 <- Theta.EAP(fit2) # Plot ICCs: plotICC(fit2, th2, items = 1, quiet = TRUE) ## End(Not run)
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