[R] R vs SAS and HLM on multilevel analysis- basic question

From: eugen pircalabelu <eugen_pircalabelu_at_yahoo.com>
Date: Sun, 15 Jun 2008 16:16:09 -0700 (PDT)

Hi R users!

I am trying to learn some multilevel analysis, but unfortunately i am now very confused. The reason: http://www.ats.ucla.edu/stat/hlm/seminars/hlm_mlm/mlm_hlm_seminar.htm http://www.ats.ucla.edu/stat/sas/seminars/sas_mlm/mlm_sas_seminar.htm

MlmSoftRev. pdf from mlmRev package.

>From what i see, the first two links seem to declare the level one variable as a random part (i don't know sas synthax, but i think i am right ) while Mr. Bates' pdf says that a grouping variable is the random part of the model, though both models, use roughly the same type of information, some characteristic of the school, along with individual characteristics in explaining individual achivement.

Am i mistaken somehow? If not, could they both be valid models (i presume) but each showing something else, in terms of connections between this variables?

Thank you and sorry for taking up your time.

	[[alternative HTML version deleted]]

R-help_at_r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sun 15 Jun 2008 - 23:19:17 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Mon 16 Jun 2008 - 14:30:50 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive