gif: Graphical Item Fit Plots

In pairwise: Rasch Model Parameters by Pairwise Algorithm

Graphical Item Fit Plots

Description

plotting function for plotting empirical and model derived category probability curves.

Usage

gif(pers_obj, itemnumber = 1, ra = 4, integ = "raw", kat = "all", ...)

Arguments

pers_obj	an object of class "pers" as a result from function pers.
itemnumber	an integer, defining the number of the item to plot the respective categoy probability for. This is set to an arbitrary default value of itemnumber = 1 to avoid error messages when you forget to choose an item to plot the expected score curves for.
ra	an integer, defining the (logit) range for x-axis
integ	either an integer, defining the number of integration points along the (logit) range on the x-axis to integrate the empirical theta values, or the character expression "raw" (default) which will use the rawscore groups as integration points.
kat	either an integer, defining for which category the empirical category probabilities should be plotted over the model derived category probability curves, or the character expression "all" (default) which will plot the empirical category probabilities for all categories.
...	arguments passed to plot

Details

no details in the moment.

Value

a plot with category probabilities.

Examples

########
data(bfiN)
pers_obj <- pers(pair(bfiN))
#### plot empirical category probabilities
gif(pers_obj = pers_obj, itemnumber = 1 )
gif(pers_obj = pers_obj, itemnumber = 1 , integ=8) # integration over 8 points
gif(pers_obj = pers_obj, itemnumber = 1 , integ=8, kat=1) # only for category number 1

pairwise documentation built on April 18, 2023, 1:10 a.m.