[R] cluster option in stata for random intercept model in the R language?
dwinsemius at comcast.net
Tue Oct 15 15:50:43 CEST 2013
On Oct 15, 2013, at 3:32 AM, Martin Batholdy wrote:
> Dear R-list,
> I am currently working on a dataset with a colleague who uses stata.
> We fit a random intercept model to the data (decisions clustered in
> participants) and get closely the same results in stata (using xtreg
> re) and R (using the lme4 or multilevel package).
> Now in stata, there is an additional option for the regression to
> control for clustering; the vce(cluster clustvar) option, which
> changes the standard errors quite a bit.
> (see http://www.stata.com/support/faqs/statistics/standard-errors-and-vce-cluster-option/
> or http://www.stata.com/manuals13/xtxtreg.pdf).
> Unfortunately I don't understand what this 'correction' does and why
> it yields different results.
> First I thought it would control for autocorrelations over time
> (decisions), but if I model this directly with a random-intercept
> random-slope model, I don't get nearly the same results.
> Can someone help me understand what stata is doing here?
> And what would be the equivalent in R to get similar results?
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Alameda, CA, USA
More information about the R-help