Hi, Sorry I didn't know the original post in this thread was not included. I'm using R version 2.14.0 (2011-10-31).
This is the program: fitLME4 <- lme(iadl ~ obstime, random = ~ obstime | id, data = iadl.long.df, na.action=na.omit) fitSURV <- coxph(Surv(Time, death) ~ agew1, data = last_aa.df, x = TRUE) fit.JM4 <- jointModel(fitLME1, fitSURV, timeVar = "obstime", method = "piecewise-PH-GH") This is the error message: Error in jointModel(fitLME1, fitSURV, timeVar = "obstime", method = "piecewise-PH-GH") : sample sizes in the longitudinal and event processes differ; maybe you forgot the cluster() argument. I have missing data in the lme data and that's why I used na.omit. But results of the lme and coxph show the same number of participants. >From lme: Number of Observations: 4818 Number of Groups: 2087 >From coxph: n= 2087, number of events= 1721 If the number of groups in lme = n in coxph, why am I getting the error message that sample sizes differ? Many thanks for your help. Helena ________________________________________ From: Petr PIKAL [petr.pi...@precheza.cz] Sent: Thursday, March 01, 2012 6:17 PM To: Helena Chui Cc: r-help@r-project.org; r-help-boun...@r-project.org Subject: Re: [R] the problem about sample size Hi > > Hi, there, > > I run into the same sample size error in JM. Have you found the solution for > the error? What error? Petr > > Many thanks, > Helena > > -- > View this message in context: http://r.789695.n4.nabble.com/the-problem- > about-sample-size-tp1592855p4434009.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@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. ______________________________________________ R-help@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.
