Sorry if this appears twice but I am not sure the first attempt got through.
This is not much to go on but here is a short self contained example which creates a longitudinal data frame L in long form from the built in data frame BOD and then plots it as points and splines using lattice: L <- rbind(cbind(Id = 1, BOD), cbind(Id = 2, BOD)) library(lattice) xyplot(demand ~ Time | Id, L, type = c("p", "spline")) On Mon, Jun 29, 2015 at 2:28 AM, deva d <devazresea...@gmail.com> wrote: > I wish to analyse longitudinal data and fit spline graphs to it looking to > the data pattern. > > can someone suggest some starting point, and package in R to be used for > it. > > what would be the requirement for structuring the raw data. > > *....* > > *Deva* > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.