[R-sig-ME] Error message with lme function
ONKELINX, Thierry
Thierry.ONKELINX at inbo.be
Tue Sep 15 13:23:06 CEST 2009
Dear Fir,
Remove the |group from the fixed effects. The grouping is defined in the random effects.
HTH,
Thierry
PS Your example was not reproducible because sub1 was missing
----------------------------------------------------------------------------
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-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] Namens FMH
Verzonden: dinsdag 15 september 2009 12:58
Aan: r-sig-mixed-models at r-project.org
Onderwerp: [R-sig-ME] Error message with lme function
Dear All,
I have a set of data which consist of 261 groups with 11 temperature values in each group. This temperature is recorded across 11 different depths of the sea. The variables involve in the R script are:
############################
#group : 1-261
#dp: 11 different depths for each group
#sub1: Data set 1
#set: Data set 2
############################
I tried to fit a linear mixed model with fixed efffect on slope and intercept, and random effect on slope and intercept too with lme function, but sadly the program gave an error message.
#################################################
dp<- rep(rev(seq(1,51, by = 5)),261)
group <- rep(1:261, each = 11)
set <- data.frame(sub1, dp, group)
(lm.lme2 <- lme(Temp ~ dp| group, data = set, random = ~ dp| group))
Error in MEEM(object, conLin, control$niterEM) :
Singularity in backsolve at level 0, block 1 #################################################
Could someone please advice me the meaning of this error and the way to sort it out?
Thank you
Fir
_______________________________________________
R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
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.
More information about the R-sig-mixed-models
mailing list