plot.lordif.MC: Plot method for Monte Carlo simulation output

In lordif: Logistic Ordinal Regression Differential Item Functioning using IRT

Plot method for Monte Carlo simulation output

Description

Produces plots for Monte Carlo output

Usage

  ## S3 method for class 'lordif.MC'
plot(x, mfrow = c(3, 1), width = 7, height = 7, BW = FALSE, ...)

Arguments

x	an object of class lordif.MC returned from montecarlo
mfrow	number of rows and columns per page for multi-fane plots
width	width of the canvas of the plotting device in inches
height	height of the canvas of the plotting device in inches
BW	whether to plot in black-and-white rather than in color
...	extra graphical parameters

Details

Generates the following graphs: 1. thresholds for Chi-square probability for Model 1 vs. 2 2. thresholds for Chi-square probability for Model 1 vs. 3 3. thresholds for Chi-square probability for Model 2 vs. 3 4. pseudo R-square change from Model 1 to 2 5. pseudo R-square change from Model 1 to 3 6. pseudo R-square change from Model 2 to 3 7. proportional beta change from Model 1 to 2

Value

Returns no object.

Note

x is an object of class lordif.MC returned from montecarlo

Author(s)

Seung W. Choi <[e-mail]>

References

Choi, S. W., Gibbons, L. E., Crane, P. K. (2011). lordif: An R Package for Detecting Differential Item Functioning Using Iterative Hybrid Ordinal Logistic Regression/Item Response Theory and Monte Carlo Simulations. Journal of Statistical Software, 39(8), 1-30. URL http://www.jstatsoft.org/v39/i08/.

See Also

lordif, montecarlo, permute

Examples

## s3 plot method for class 'lordif.MC':
## Not run: age.dif <- lordif(Anxiety[paste("R",1:29,sep="")],Anxiety$age)
## Not run: age.dif.MC <- montecarlo(age.dif,alpha=.05,nr=500)
## Not run: plot(age.dif.MC,mfrow=c(1,1),width=8,height=7)

lordif documentation built on April 3, 2025, 10:37 p.m.