Grouped regression
On Jul 8, 2012, at 7:55 AM, SKrishna wrote:
Hi, Thanks for the reply.
Sex[120:144]<-factor(TG) #Renaming some males to transgender, to create 3 groups, male, female and transgender
Sorry, that should have been
Sex[120:144]<-factor('TG')
The original line did not have the quotes.
I showed you how to fix that in the reply which you have not copied. Is this further evidence that you have not read the Posting Guide?
I'm getting the sense that this is homework. You offer no information about you business or academic affiliations and appear not to have read the Posting Guide. Also setting up regressions is covered in the "Introduction to R" which you are requested to have reviewed before asking questions on Rhelp. Section 11 would be particularly relevant here.
No, it is not homework, I just used the cats dataset to produce a working example, as the Posting Guide suggests. I did not get the information I was looking for (how to create a subset regression where the slope and/or intercept for some factors were constrained to be the same) from the "Introduction to R" which I did look at (along with searching the archives of R-help and doing a general Google search and going through the first 100 or so results and looking at Julian Faraway's book on Regression Analysis as well as some material from John Fox...
The term "subset regression" is not one I recognize but it sounded
from your description that you wanted what you would get with:
> out<-lm(Bwt~Sex+Hwt)
> out
Call:
lm(formula = Bwt ~ Sex + Hwt)
Coefficients:
(Intercept) SexM SexTG Hwt
1.4716 0.2144 0.6854 0.0965
-- View this message in context: http://r.789695.n4.nabble.com/Grouped-regression-tp4635761p4635771.html Sent from the R help mailing list archive at Nabble.com.
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