On Wednesday 08 October 2008, Manuel Morales wrote: > On Wed, 2008-10-08 at 09:49 -0700, Dylan Beaudette wrote: > > On Wednesday 08 October 2008, Manuel Morales wrote: > > > Another option is bargraph.CI or lineplot.CI from the package sciplot. > > > > > > See http://mutualism.williams.edu/sciplot for examples. > > > > > > On Tue, 2008-10-07 at 23:31 -0500, Michael Just wrote: > > > > Hello, > > > > I'd appreciate a suggestion on how to construct plots (barplots?) > > > > that use means on the Y axis instead of density/count. I'd also like > > > > to use groups and plot error or confidence interval bars on these > > > > graphs. I know this is a read the manual situation. I'd appreciate > > > > help with what to read, or your benevolence with some sample code. > > > > > > > > I've looked at lattice and gplots2, but given my beginner status my > > > > efforts are not propelling me very far. > > > > > > > > Thank you kindly, > > > > Michael Just > > > > # Personally, this looks more informative to me: > > library(lattice) > > bwplot(len ~ supp | factor(dose), data=ToothGrowth, layout=c(3,1)) > > > > # and some people like this: > > require(Hmisc) > > bwplot(supp ~ len | factor(dose), data=ToothGrowth, layout=c(3,1), > > panel=panel.bpplot, datadensity=TRUE) > > I guess personal preference but I prefer a layout that has them > overlapping - visual comparison is easier. > > E.g.: > require(sciplot) > lineplot.CI(response=len, x.factor=dose, group=supp, data = ToothGrowth) > > If detail of the distributions are needed, the graphs you suggest are > certainly warranted!
Indeed. Form must usually follow function. I see what you mean about having then on the same axis. Thanks! -- Dylan Beaudette Soil Resource Laboratory http://casoilresource.lawr.ucdavis.edu/ University of California at Davis 530.754.7341 ______________________________________________ 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.
