Hello - I am fairly new to R, (i.e., ability to create functions/write
programs insignificant) and was wondering if there might be a convenient way
to model the following: I want to fit a gaussian glm to grouped data, while
allowing for unequal variances in each of the groups.
More specifically,
Dawn Ashcourt wrote:
Hello - I am fairly new to R, (i.e., ability to create functions/write
programs insignificant) and was wondering if there might be a convenient way
to model the following: I want to fit a gaussian glm to grouped data, while
allowing for unequal variances in each of the
Hi,
I would suggest to use lme for doing that:
library(nlme)
vf1Ident - varIdent( c(m = 0.5), form = ~ 1 | group )
fm.lme - lme(data ~ group, weights = vf1Ident. data = DATA)
anova(fm.lme)
Hope this helps,
Thilo
On Tuesday 16 January 2007 10:30, Dawn Ashcourt wrote:
Hello - I am fairly new to
