Robert Buitenwerf
2009-Aug-26 14:23 UTC
[R] lme: how to nest a random factor in a fixed factor?
Dear all, I have an experimental setup in which a random variable is nested within a fixed variable; however I have troubles specifying the correct LMM with lme. I have searched the lists but haven't been able to find an example like my setup, which I unfortunately need to get this stuff right. Pinheiro & Bates is great but I still can't figure out how to do it. My experimental setup was as follows: 100 measurements per treatment plot 2 treatment plots per site 4 sites: 2 in one area and 2 in another area Both treatment and area are fixed factors,while site is random. I am interested in the significance of the fixed effects,less in the magnitude of the random effect. I have tried: mod1 <- lme(response ~ area*treatment, data=data,random= ~1|site) but now site is not nested in area? mod2 <- lme(response ~ area*treatment, data=data,random= ~1|area/site) but now area is both a fixed and a random variable, which doesn't seem to make sense, plus I run out of df for treatment mod3 <- lme(response ~ area*treatment, data=data,random= ~1| plot) but here plots are not grouped according to site I hope someone would be willing to help me, thank you in advance! Robert Buitenwerf Ecologist South African Environmental Observation Network _________________________________________________________________ [[elided Hotmail spam]]
ONKELINX, Thierry
2009-Aug-26 15:18 UTC
[R] lme: how to nest a random factor in a fixed factor?
Dear Robert, Since you have only 4 sites, a random effect is not so good. You would need at least 6 sites for a good estimate of the variance. You have enough data to treat site as a fixed effects. It only costs 2 extra degrees of freedom. Therefore I would model this like: lm(response ~ (area/site)*treatment, data = data) HTH, Thierry ------------------------------------------------------------------------ ---- ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance Gaverstraat 4 9500 Geraardsbergen Belgium tel. + 32 54/436 185 Thierry.Onkelinx at inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey -----Oorspronkelijk bericht----- Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Namens Robert Buitenwerf Verzonden: woensdag 26 augustus 2009 16:24 Aan: R Help Onderwerp: [R] lme: how to nest a random factor in a fixed factor? Dear all, I have an experimental setup in which a random variable is nested within a fixed variable; however I have troubles specifying the correct LMM with lme. I have searched the lists but haven't been able to find an example like my setup, which I unfortunately need to get this stuff right. Pinheiro & Bates is great but I still can't figure out how to do it. My experimental setup was as follows: 100 measurements per treatment plot 2 treatment plots per site 4 sites: 2 in one area and 2 in another area Both treatment and area are fixed factors,while site is random. I am interested in the significance of the fixed effects,less in the magnitude of the random effect. I have tried: mod1 <- lme(response ~ area*treatment, data=data,random= ~1|site) but now site is not nested in area... mod2 <- lme(response ~ area*treatment, data=data,random= ~1|area/site) but now area is both a fixed and a random variable, which doesn't seem to make sense, plus I run out of df for treatment mod3 <- lme(response ~ area*treatment, data=data,random= ~1| plot) but here plots are not grouped according to site I hope someone would be willing to help me, thank you in advance! Robert Buitenwerf Ecologist South African Environmental Observation Network _________________________________________________________________ [[elided Hotmail spam]] ______________________________________________ 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. Druk dit bericht a.u.b. niet onnodig af. Please do not print this message unnecessarily. Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is door een geldig ondertekend document. The views expressed in this message and any annex are purely those of the writer and may not be regarded as stating an official position of INBO, as long as the message is not confirmed by a duly signed document.
Possibly Parallel Threads
- (nlme) Repeated measures with continuous covariate in lme
- correct lme syntax for this problem?
- lmer specification for random effects: contradictory reults
- Lattice: groups and no groups with panel.superpose
- How to prevent inclusion of intercept in lme with interaction