[R-sig-ME] Fw: question about Type III sums of squares as computed in "CAR'

Douglas Bates bates at stat.wisc.edu
Fri Nov 20 18:08:58 CET 2015


I don't think your data, code, etc. made it through to the list.

If you need the SAS results, wouldn't it be easier to use SAS to get them?

On Fri, Nov 20, 2015 at 10:35 AM m51988mnew at juno.com <m51988mnew at juno.com>
wrote:

> I have attached the example data and the r-code and r messages.The data
> are example measurements of exposures on 2 occupations ( a and b)on 11
> sampling days.  Each occupation  has one measurement per day.  The 11
> sampling days are at 4 sites:  3 days at 3 of the sites and  2 days at 1
> site.  In addition, there were three  workers who did the second
> occupation  , labelled 6,7,8, for the variable idb.  I need the SAS type
> III sums of squares for each of the variables in the model, but you can see
> the error message in the R code: there are aliased coefficients in the
> model In SAS I believe that this problem is dealt with by placing
> constraints on the parameters.I would appreciate any suggestions.  I think
> that maybe I am formulating the model wrong.  Thanks,Stanley Shulman
>
> ---------- Forwarded Message ----------
> From: "m51988mnew at juno.com" <m51988mnew at juno.com>
> To: r-sig-mixed-models at r-project.org
> Subject: question about Type III sums of squares as computed in "CAR'
> Date: Wed, 18 Nov 2015 02:25:03 GMT
>
>
> When I use "Anova" from the car library, I cannot get Type III sums of
>  squares for nested data.  Maybe I am using the program wrong. SAS gives
> the
>  Type III sums of squares. Thanks for any thoughts.Stanley Shulman
>
> ____________________________________________________________
> NetZero now offers 4G mobile broadband. Sign up now.
> http://www.netzero.net/?refcd=NZINTISP0512T4GOUT1
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>

	[[alternative HTML version deleted]]



More information about the R-sig-mixed-models mailing list