phi.demo {psych} | R Documentation |
A not very interesting demo of what happens if bivariate continuous data are dichotomized. Bascially a demo of r, phi, and polychor.
phi.demo(n=1000,r=.6, cuts=c(-2,-1,0,1,2))
n |
number of cases to simulate |
r |
correlation between latent and observed |
cuts |
form dichotomized variables at the value of cuts |
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.
a matrix of correlations and a graphic plot)
William Revelle
http://personality-project.org/r/simulating-personality.html and http://personality-project.org/r/r.datageneration.html for better demonstrations of data generation.
round(phi.demo() ,2) #compare the phi (lower off diagonal and polychoric correlations (upper off diagonal)