From: Karen Chiswell <karenc2204_at_yahoo.com>

Date: Thu 05 Apr 2007 - 13:50:39 GMT

Karen Chiswell

Department of Statistics

North Carolina State University

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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. Received on Fri Apr 06 00:18:25 2007

Date: Thu 05 Apr 2007 - 13:50:39 GMT

I would like to plot multiple curves (parametric density curves) in one plot.

# I can easily draw three normal density curves using

curve():

curve(dnorm(x,mean=parms$mu[1],sd=parms$sigma[1]),from=0,
to=150, ylab="density", col="red")

curve(dnorm(x,mean=parms$mu[2],sd=parms$sigma[2]),from=0,
to=150, ylab="density", col="blue", add=TRUE)
curve(dnorm(x,mean=parms$mu[3],sd=parms$sigma[3]),from=0,
to=150, ylab="density", col="forestgreen", add=TRUE)

x = seq(from=0, to=150, length=100)

plot.df = data.frame(ID=rep(parms$ID,each=100),
x=rep(x,3),mu=rep(parms$mu,each=100),sigma=rep(parms$sigma,each=100))
plot.df$d =

dnorm(plot.df$x,mean=plot.df$mu,sd=plot.df$sigma)

require(lattice)

p=xyplot(d~x, data=plot.df, groups=ID, type="l")

However... is there a more elegant/efficient way to do this? I have tried using the panel.curve panel function (with xyplot() and histogram()), but I am not very experienced with using panel functions (or R actually), and I haven't had any success with this yet.

Many thanks for any suggestions,

Karen

Karen Chiswell

Department of Statistics

North Carolina State University

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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. Received on Fri Apr 06 00:18:25 2007

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