[R-sig-ME] suggestions for estimating confidence intervals with only 1.5 GB of ram?
doon75 at hotmail.com
Fri Apr 1 02:07:22 CEST 2011
Many thanks for the reply David,
I am probably being thick - but it is not the estimates for random effects
that I am interested in.....
I am trying to get the confidence intervals around the predicted values from
the fixed effects.
The data is available at this link as a R workspace "DarrensSpace.RData"
(size is approx 70 kb):
#### the random effect (1|yearMonth) is used to model serial temporal
#### data is observational & ecological so unbalanced
#### "yall " is abundance of the turtle species of interest
library(AICcmodavg) # another very helpful library
#### I can then plot and see predicted values and SE if I wanted, for
plot(df.p$yall) #observed values
lines(p.fmer2f$fit) #predicted response
How can I calculate / approximate 95 CI intervals to go around this line?
Many thanks again!
From: David Duffy
Sent: Thursday, March 31, 2011 8:42 PM
To: Darren Norris
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] suggestions for estimating confidence intervals with
only 1.5 GB of ram?
On Thu, 31 Mar 2011, Darren Norris wrote:
> I would like to obtain (then plot) the fitted (?predicted - sorry never
> know correct term) response values and in an ideal world 95% confidence
> (or prediction) intervals for a lmer model.
Possibly I'm being obtuse, but in your fmer2f model has
Groups Name Variance Std.Dev.
yearMonth (Intercept) 0.000000 0.00000 <----
Residual 0.096815 0.31115
Number of obs: 333, groups: yearMonth, 50
Cheers, David Duffy.
More information about the R-sig-mixed-models