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
Error message with lme function
2 messages · FMH, ONKELINX, Thierry
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.