### $Id: Demand.q,v 1.1 1999/10/13 00:50:09 saikat Exp $ ### Analysis of the per capita demand deposits data given as data ### set 3.6 in "SAS System for Mixed Models" names( Demand ) formula( Demand ) # the "grp" factor is a dummy factor with only one level. unique( Demand$grp ) # Crossed random-effects factors have to be created by pdIdent applied to # the indicator variables and joined together by pdBlocked. fm1Demand <- lme( log(d) ~ log(y) + log(rd) + log(rt) + log(rs), data = Demand, random = list(grp = pdBlocked(list(pdIdent(~ State - 1), pdIdent(~ Year - 1)))), method = "REML" ) summary( fm1Demand ) # compare to output 3.13, p. 132
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.