R-help, Sorry for posting the same question (almost) once again. I'm using a lm model for some data. The code is below: fitData <- glm(pm ~ age + mw , family = binomial(link = logit), maxit 30, data = inputModel1) "age" is a factor and "mw" is a continous variable. The summary function does not provide the parameter estimates for the first level of the categorical variable (I think the others are relative to the first,isn't it?). How can I get all the parameter estimates in the model? Thank you in advance I run on a Windows Xp machine> version_ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 2.1 year 2005 month 12 day 20 svn rev 36812 language R
Do you have a look at names(fitData) fitData$coef Best, Matthias> -----Urspr?ngliche Nachricht----- > Von: r-help-bounces at stat.math.ethz.ch [mailto:r-help- > bounces at stat.math.ethz.ch] Im Auftrag von Luis Ridao Cruz > Gesendet: Dienstag, 18. April 2006 10:23 > An: r-help at stat.math.ethz.ch > Betreff: [R] get the parameter estimates from lm model > > R-help, > > Sorry for posting the same question (almost) once again. > > I'm using a lm model for some data. > The code is below: > > fitData <- glm(pm ~ age + mw , family = binomial(link = logit), maxit > 30, data = inputModel1) > > "age" is a factor and "mw" is a continous variable. > > The summary function does not provide the parameter estimates for > the first level of the categorical variable (I think the others are > relative to the first,isn't it?). > > How can I get all the parameter estimates in the model? > > > Thank you in advance > > > > I run on a Windows Xp machine > > > version > _ > platform i386-pc-mingw32 > arch i386 > os mingw32 > system i386, mingw32 > status > major 2 > minor 2.1 > year 2005 > month 12 > day 20 > svn rev 36812 > language R > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting- > guide.html
Look at:
?contrasts
?contr.treatment
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://www.med.kuleuven.be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
----- Original Message -----
From: "Luis Ridao Cruz" <Luisr at frs.fo>
To: <r-help at stat.math.ethz.ch>
Sent: Tuesday, April 18, 2006 10:22 AM
Subject: [R] get the parameter estimates from lm model
> R-help,
>
> Sorry for posting the same question (almost) once again.
>
> I'm using a lm model for some data.
> The code is below:
>
> fitData <- glm(pm ~ age + mw , family = binomial(link = logit),
> maxit > 30, data = inputModel1)
>
> "age" is a factor and "mw" is a continous variable.
>
> The summary function does not provide the parameter estimates for
> the first level of the categorical variable (I think the others are
> relative to the first,isn't it?).
>
> How can I get all the parameter estimates in the model?
>
>
> Thank you in advance
>
>
>
> I run on a Windows Xp machine
>
>> version
> _
> platform i386-pc-mingw32
> arch i386
> os mingw32
> system i386, mingw32
> status
> major 2
> minor 2.1
> year 2005
> month 12
> day 20
> svn rev 36812
> language R
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
> http://www.R-project.org/posting-guide.html
>
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm