[R] Ordered logit in R

[Eik Vettorazzi]

so, what did you expect instead as a result of an orderd logistic 
regression?
See http://www.ats.ucla.edu/stat/R/dae/ologit.htm for interpretational help.
hth.

Mathew, Abraham T schrieb:
> I ran the follow code for an ordered logit, but don't know why two levels of my dependent variable are at the topic of my list of variables.
>
> I don't know why this appears, and what I'm supposed to take from them
>
> y>=0. Haven't thought much about this  
> y>=1. Favor  
>
>
> library(Design)
> two <- lrm(trade1 ~ age2 + education2 + personal2 + economy2 + partisan2 + employment2 + union2 + home2 + market2 + race2 + income2)
> two
> summary(two)
>
>
> #Logistic Regression Model
> #
> #lrm(formula = trade1 ~ age2 + education2 + personal2 + economy2 + 
> #    partisan2 + employment2 + union2 + home2 + market2 + race2 + 
> #    income2)
> #
> #Frequencies of Responses
> #                         5. Oppose 0. Haven't thought much about this 
> #                               258                                311 
> #                          1. Favor 
> #                               209 
> #
> #Frequencies of Missing Values Due to Each Variable
> #     trade1        age2  education2   personal2    economy2   partisan2 
> #        210           0           3           7          16         134 
> #employment2      union2       home2     market2       race2     income2 
> #        678           5          59         207          10          82 
> #
> #       Obs  Max Deriv Model L.R.       d.f.          P          C        Dxy 
> #       778      1e-10      79.47         11          0      0.647      0.295 
> #     Gamma      Tau-a         R2      Brier 
> #     0.296      0.194       0.11      0.191 
> #
> #                                      Coef      S.E.     Wald Z P     
> #y>=0. Haven't thought much about this  3.045016 0.879724  3.46  0.0005
> #y>=1. Favor                            1.198983 0.873244  1.37  0.1697
> #age2                                   0.003499 0.006006  0.58  0.5602
> #education2                            -0.232741 0.048080 -4.84  0.0000
> #personal2                             -0.117132 0.089053 -1.32  0.1884
> #economy2                              -0.308168 0.104512 -2.95  0.0032
> #partisan2                             -0.103308 0.091803 -1.13  0.2605
> #employment2                           -0.097818 0.378070 -0.26  0.7958
> #union2                                 0.038079 0.168730  0.23  0.8215
> #home2                                  0.274581 0.157926  1.74  0.0821
> #market2                               -0.195350 0.153563 -1.27  0.2033
> #race2                                 -0.057408 0.112952 -0.51  0.6113
> #income2                               -0.130017 0.068048 -1.91  0.0560
>
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>   

-- 
Eik Vettorazzi
Institut für Medizinische Biometrie und Epidemiologie
Universitätsklinikum Hamburg-Eppendorf

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20246 Hamburg

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