[R] GLM FITTED VALUES TABLE

[Spencer Graves]

      Did you try something like the following: 

      allergy$fitted <- fitted(allergy.fit.main.2int)

      The documentation "?fitted.glm" says "Value:  Fitted values 
extracted from the object 'x'."  I didn't try this with your data.  
However, from this documentation and previous experience similar 
situations, it would appear that this command would give you the fitted 
values as a column of your original data.frame. 

      hope this helps.  spencer graves

allan clark wrote:

>   Hi all
>
>   I have the following generalized linear problem.
>
>   In a study of allergic responses, patients arriving at a clinic in
>   Groote Schuur hospital were tested for sensitivity to a number of
>   substances. Three of these were moulds: Cladosporium (C), Alternaria
>   (F) and Aspergillius (T). Their level of sensitivity was measured on
>   the Rast Scale as: 0: not allergic   1: mildly allergic   2 or more:
>   allergic
>
>   The data is supplied below. The analysis is fairly straight forward
>   and I understand how R solves the problem. I've supplied a copy of the
>   code in order to perform the analysis.
>
>   My question is: HOW DOES ONE CONVERT THE OUTPUT (FITTED VALUES)
>   SUPPLIED BY R AND DISPLAY THEM IN A CONTINGENCY TABLE?
>
>   allergy<-read.table("c:/a.dat",header=T)
>   attach(allergy)
>   allergy.fit.main.2int<-glm(y~ .^2,family=poisson, data=allergy)
>   fitted(allergy.fit.main.2int)
>
>   The fitted values are:
>           1          2          3          4          5
>   6          7          8
>   666.198041  25.858478  14.943481  60.568127   5.350317   5.081557
>   28.233832   3.791205
>            9         10         11         12         13
>   14         15         16
>    10.974962  32.170233   7.068334   1.761433  14.077680   7.039304
>   2.883016   7.752087
>           17         18         19         20         21
>   22         23         24
>     5.892362   7.355551  35.631726  14.073188  14.295086   7.354193
>   6.610380  11.035427
>           25         26         27
>     9.014081  12.316433  62.669487
>
>   The data for those interested is as follows:
>
>   > allergy
>         t    f    c   y
>   1  none none none 671
>   2  none none  one  23
>   3  none none  two  13
>   4  none  one none  60
>   5  none  one  one   8
>   6  none  one  two   3
>   7  none  two none  24
>   8  none  two  one   4
>   9  none  two  two  15
>   10  one none none  31
>   11  one none  one   9
>   12  one none  two   1
>   13  one  one none  14
>   14  one  one  one   6
>   15  one  one  two   4
>   16  one  two none   9
>   17  one  two  one   5
>   18  one  two  two   7
>   19  two none none  32
>   20  two none  one  15
>   21  two none  two  17
>   22  two  one none   8
>   23  two  one  one   5
>   24  two  one  two  12
>   25  two  two none  12
>   26  two  two  one  13
>   27  two  two  two  59
>
>   Regards
>   Allan
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