From: Gabor Grothendieck <ggrothendieck_at_gmail.com>

Date: Wed, 20 Feb 2008 21:04:49 -0500

R-help_at_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. Received on Thu 21 Feb 2008 - 02:11:34 GMT

Date: Wed, 20 Feb 2008 21:04:49 -0500

Try this:

library(lattice)

xyplot(DSR1 + DSR2 ~ StartDate, example.df, type = "b", pch = c(1, 3),
subset = seq(1, nrow(example.df), 5))

On Wed, Feb 20, 2008 at 8:57 PM, Jessi Brown <jessilbrown_at_gmail.com> wrote:

> Thanks for the ideas so far, Gabor and Phil.

*>
**> I was hoping to find a solution that didn't depend on building another
**> data frame, but if that's the easiest way, I can certainly do it
**> through that route. At least your solutions involve fewer lines of
**> code than I had devised for extracting the desired rows (am still a
**> newbie at data manipulation with R!).
**>
**> cheers, Jessi
**>
**>
**> On Wed, Feb 20, 2008 at 7:08 PM, Gabor Grothendieck
**> <ggrothendieck_at_gmail.com> wrote:
**> > Try this:
**> >
**> > ix <- seq(1, nrow(example.df), 5)
**> > with(example.df[ix,], {
**> > plot(DSR1 ~ StartDate, type = "b", ylim = c(0.3, 0.9))
**> > points(DSR2 ~ StartDate, type = "b", pch = 3)
**> > })
**> >
**> >
**> >
**> >
**> > On Wed, Feb 20, 2008 at 6:57 PM, Jessi Brown <jessilbrown_at_gmail.com> wrote:
**> > > Hello, fellow R enthusiasts.
**> > >
**> > > Ok, I've been racking my brain about this small issue, and between
**> > > searching the help archives and reading through the plot-related
**> > > documentation, I can't figure out how to achieve my desired endpoint
**> > > without some ugly, brute force coding.
**> > >
**> > > What I would like to do is make a plot in which only a subset of my
**> > > data are plotted, but in regular intervals, such as every 5th point
**> > > along the sequence. Is anyone aware of a built-in function in plot or
**> > > a related graphing family that can do this, or alternatively, a simple
**> > > way to extract the desired rows from my original dataframe? I want to
**> > > do this because I want to plot multiple series of points with their
**> > > confidence intervals (arrows), and even if I specify type="b," the
**> > > output ends up looking like just a series of crowded points.
**> > >
**> > > For example, if you try making the plot below, you will see how
**> > > crowded two lines look without error bars:
**> > >
**> > > > example.df<-data.frame(StartDate=(94:157), DSR1=seq(0.4, 0.8, length.out=64), DSR2=seq(0.3, 0.9, length.out=64))
**> > > > plot(example.df$StartDate, example.df$DSR1, type="b", ylim=c(0.3,0.9))
**> > > > points(example.df$StartDate, example.df$DSR2, type="b", pch=3)
**> > >
**> > > Any ideas for an elegant solution to my dilemma?
**> > >
**> > > Thanks in advance for any help.
**> > >
**> > > cheers, Jessi Brown
**> > >
**> > > Ph.D. student
**> > > Program in Ecology, Evolution, and Conservation Biology
**> > > University of Nevada, Reno
**> > >
**> > > ______________________________________________
**> > > R-help_at_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.
**> > >
**> >
**>
*

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