[R] how can I ordinal regression??

[Gerard M. Keogh]

Here's some code to implement the cheese data  table using the proportinal
odds model given in Generalised Linear Models by McCullagh & Nelder (Ch5).
You will have to adapt this to handle your case data - but i'll give you
something to go on.


   #### cheese
   library(MASS)
   options(contrasts = c("contr.treatment", "contr.poly"))
   y = c(0,0, 1, 7, 8,8,19, 8,1, 6,9,12,11, 7,6, 1, 0,0, 1,1, 6, 8,23,7, 5,
   1,0, 0,0, 0, 1, 3,7,14,16,11)
   p =
   c(1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8,9)
   x1 =
   c(1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)
   x2 =
   c(0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)
   x3 =
   c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0)

   ord.rp = ordered(p)
   fit0.polr = polr(ord.rp ~ 1, weights=y)
   fit1.polr = polr(ord.rp ~ x1 + x2+x3, weights=y)
   summary(fit1.polr)
   anova(fit0.polr,fit1.polr)


gerard



                                                                           
             yongkook Kwon                                                 
             <yongkookkwon at gma                                             
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                                       [R] how can I ordinal regression??  
             03/06/2009 08:10                                              
                                                                           
                                                                           
                                                                           
                                                                           
                                                                           




What function and package I use to conduct ordinal regression??

My data is composed 2colums and 180rows.

The first colum indicate level of mass and second colum is intensity.

So, I want to calculate how much intensity are related mass.

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