Erin Berryman wrote: > Dear R community, > > I am having trouble with a particular plot that I am trying to produce > using Hmisc's xYplot function. I've been using primarily lattice and > Hmisc packages for my plotting needs for the past few years, with great > success. > However, what I want to do now with xYplot is plot more than one data > trend in the same panel, much as I would use xyplot from package lattice > in conjunction with superpose, with type="b". My problem is I can't get > the error bars to plot when I use xYplot this way. I've attached my data > set for reference. > > Here are my inputs: > > >p1sum<-read.csv(file="p1sum.csv", header=T) > >library(Hmisc) > >xYplot(Cbind(DRP, SE) + Cbind(Fe, FeSE) ~ Day | Group + Port, p1sum, > type='b') > > The plotted result is two lines per panel, one labeled "Cbind(DRP, SE)" > and the other labeled "Cbind(Fe, FeSE). However, the error bars are not > plotted at all (I want the error bars to be DRP +/- SE, and Fe +/- > FeSE). Any advice on this is greatly appreciated. > > Thank you, > > Erin
xYplot does not accept multiple Cbind terms. You'll have to string out your data "tall and thin" to construct a single Cbind(Y, SE) and use superposition with groups=. Sometimes confidence intervals are better than using +-SE, which also has the advantage of allowing the intervals to be asymmetric. Frank > > > > > Erin Berryman > ***PLEASE-- NOTE NEW EMAIL [EMAIL PROTECTED] > > > ------------------------------------------------------------------------ > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
