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factor2
2007 May 10
1
Follow-up about ordinal logit with mixtures: how about 'continuation ratio' strategy?
...ase you do not want to run this for yourself, here are the results
of the 4 regressions.
> summary(polr(y ~ x + afactor, data=dat, Hess=T))
Call:
polr(formula = y ~ x + afactor, data = dat, Hess = T)
Coefficients:
Value Std. Error t value
x 0.3194385 0.01534613 20.815566
afactor2 0.4829818 0.21012233 2.298574
afactor3 0.7186079 0.21405603 3.357102
afactor4 1.2058896 0.21511922 5.605681
Intercepts:
Value Std. Error t value
1|2 -2.2643 0.1782 -12.7059
2|3 -0.5304 0.1587 -3.3434
3|4 0.7312 0.1582 4.6229
Residual Deviance: 1502.426
AIC: 1516.426...