A not very interesting demo of what happens if bivariate continuous data are dichotomized. Bascially a demo of r, phi, and polychor.
Usage
phi.demo(n=1000,r=.6, cuts=c(-2,-1,0,1,2))
Arguments
n
number of cases to simulate
r
correlation between latent and observed
cuts
form dichotomized variables at the value of cuts
Value
a matrix of correlations and a graphic plot)
Details
A demonstration of the problem of different base rates on the phi correlation, and how these are partially solved by using the polychoric correlation. Not one of my more interesting demonstrations. See
http://personality-project.org/r/simulating-personality.html and
http://personality-project.org/r/r.datageneration.html for better demonstrations of data generation.
References
http://personality-project.org/r/simulating-personality.html and
http://personality-project.org/r/r.datageneration.html for better demonstrations of data generation.