plotTCC | R Documentation |
plot.TCC
plots the TCC for the GUM and the GGUM.
plotTCC(IP, Th)
IP |
Object of class |
Th |
Theta estimates from function |
The function returns a list with three elements:
coords |
(x, y) coordinates of the TCC. |
cor.OBS.EXP |
Correlation between observed and expected test scores (missing values pairwise removed). |
cor.OBS.EXP.means |
Correlation between observed and expected mean test scores (missing values pairwise removed). The theta interval between -4 through +4 is divided in 100 subintervals of equal length. The observed and expected mean scores are computed for each subinterval. |
This function plots the test characteristic curve (TCC).
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$data, 3) th1 <- Theta.EAP(fit1) # Plot TCC: plotTCC(fit1, th1) ## End(Not run) ## Not run: # For GGUM: # Generate data: set.seed(1); C <- sample(3:5, 10, replace = TRUE) gen2 <- GenData.GGUM(2000, 10, C, "GGUM", seed = 156) # Fit the GGUM: fit2 <- GGUM(gen2$data, C) th2 <- Theta.EAP(fit2) # Plot TCC: plotTCC(fit2, th2) ## End(Not run)
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