[R] output

[Ashta]

Hi all,

I have a data set  such that  the response variable size  binary (Short or Long)
Color has two classes (red and green)  red=1 ; green=0
Lm1 <- glm(size ~color, data =test, family = binomial())
                   Estimate   Std. Error    z value
(Intercept)  12.052    3.11037    -12.273
color              0.7850    0.06624   3.952
How do I get the probability of sizes for the two different colors(red
and green)?







On Mon, Jan 18, 2010 at 11:15 AM, Henrique Dallazuanna <wwwhsd at gmail.com> wrote:
> Try this:
>
> DF$season <- relevel(DF$season, 'y')
> fit1 <- lm(Feed_Intake ~ weight + season + weight*season, data = DF)
>
> On Mon, Jan 18, 2010 at 2:00 PM, Ashta <sewashm at gmail.com> wrote:
>> Hi all,
>> I am trying to interparete  the result of the following output from  lm;
>>
>>
>> fit1 =lm(Feed _Intake ~ weight + season + weight*season)
>> Season has three classes(x,y,z)
>>
>> Reults are
>>
>> Estimate (Intercept)               21.51559
>> weight                                       2.13051
>> factor(season)y                      10.59739
>> factor(season)z                        1.30421
>> weight:factor(season)y          10.1
>> weight:factor(season)z          21.70288
>>
>> My question are  what is the estimate of season x?
>>
>> Could it be possible to change the output in the following way?
>>
>> factor(season)x
>> factor(season)y
>> weight:factor(season)x
>> weight:factor(season)y
>>
>> Thanks in adavance
>>
>> ______________________________________________
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>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
> Henrique Dallazuanna
> Curitiba-Paraná-Brasil
> 25° 25' 40" S 49° 16' 22" O
>