from the output, I think it's both.
----- Original Message ---- From: John Sorkin <jsor...@grecc.umaryland.edu> To: r-help@r-project.org Sent: Fri, September 10, 2010 5:25:44 AM Subject: [R] lme, groupedData, random intercept and slope Windows Vista R 2.10.1 Does the following use of groupedData and lme produce an analysis with both random intercept and slope, or only random slope? zz<-groupedData(y~time | Subject,data=data.frame(data), labels = list( x = "Time", y = "y" ), units = list( x = "(yr)", y = "(mm)") ) plot(zz) fit10<-lme(zz) summary(fit10) Linear mixed-effects model fit by REML Data: zz AIC BIC logLik -123.1942 -115.2010 67.5971 Random effects: Formula: ~time | Subject Structure: General positive-definite StdDev Corr (Intercept) 6.054897e+00 (Intr) time 4.160662e-05 1 Residual 9.775954e-04 Fixed effects: y ~ time Value Std.Error DF t-value p-value (Intercept) 15.000217 1.914727 19 7.834 0 time -1.000051 0.000219 19 -4566.598 0 Correlation: (Intr) time 0.059 Standardized Within-Group Residuals: Min Q1 Med Q3 Max -1.73706837 -0.36289558 0.06892484 0.59777067 1.69095476 Number of Observations: 30 Number of Groups: 10 John David Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax) 410-605-7913 (Please call phone number above prior to faxing) Confidentiality Statement: This email message, including any attachments, is for th...{{dropped:12}} ______________________________________________ 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.