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I think you want the 'at', 'labels', and 'tick' arguments of axis(). This should essentially get you what you want: > hist(rnorm(100), axes = F) > axis(side = 1, at = -3:3, lab = F) > axis(side = 1, at = (-3:3)+0...

Have you tried using pdf(), postscript(), or jpeg()? All of these have arguments to specify the height and width of the device. On 10/8/07, Christoph Krammer <ck at altaica.de> wrote: > Hello, > > I have another (possibly easy) question...

I think there are a few packages for doing this. I have used "lmomco": the function lmom.ub() will calculate the sample lmoments, and lmrdia() gives theoretical lmoments for different distributions. Hope this is helpful. Eric On 12/4/06...

There are probably much more fancy ways to do this, but since no one else has posted a response, here's what I would do: > plot(seq(10, 40, 10), axes = FALSE) > axis(1, at = 1:4, lab = LETTERS[1...

Did you try reading the help pages or looking at the examples in the help pages? Did you even make an attempt at using the command? If so, did you get an error or unexpected results? I don't know...

This has worked for me: system("rm path/*") On 11/28/06, Hans-Peter <gchappi at gmail.com> wrote: > Hi, > > I try to delete the files in a directory. While the command > > invisible(lapply( list.files( "DeleteThis" ), function(x) > file...

Try par(mar=c(3,4,2,2), mfrow=c(5,2)) On 10/12/07, Leeds, Mark (IED) <Mark.Leeds at morganstanley.com> wrote: > I am constructing plots ( regular not lattice ) and my initial command > is > > par(mar=c...

The lines indicate the confidence interval (95% by default). I think you mean that it is not documented in help(acf), but it directs you to plot.acf in the "See Also" secion. >From ?plot.acf: Note: The confidence interval...

Hi all, I am running R version 2.4.0 (2006-10-03) on an i686 pc with Mandrake 10.2 Linux. I was given a binary data file containing single precision numbers that I would like to read into...

Have you tried filled.contour()? It automatically generates a legend. However, I'm not sure what is going on with your x's and y's being sorted random numbers. I assume your actual data are not like this. If...

It seems I misunderstood Sunil's response and somewhat freaked out because it appeared that he was giving the wrong method for making a QQ plot, but was actually demonstrating the sampling variability. My apologies to Sunil. 2009/9/27...

Today I tried to install the R-2.5.0 (currently running R-2.4.1) on Mandriva Linux. The ./configure and make commands seem to run fine, but "make check" gives the following messages: running regression tests make[3...

But you did not use the command I suggested: you replaced x with colnames(n), which is a vector of characters. Characters such as "25p" has little meaning for plotting: > as.numeric("25p") [1] NA So you've tried to...

Okay. If you want to customize the axis labels, you can suppress the defaults by changing the matplot call to matplot(x, t(n), pch = 1, axes = FALSE) And then adding them how you want: axis(side = 2) axis(side...

The supposed example of a Q-Q plot is most certainly not how to make a Q-Q plot. I don't even know where to start.... First off, the two "Q:s in the title of the plot stand...

Dear list, I've recently become interested in comparing the spectral estimates using the different methods ("pgram" and "ar") in the spectrum() function in the stats package. With many thanks to the authors of these complicated functions, I would like...

If I've correctly interpreted what you want, you first need to get the x values: x <- colnames(n) x <- as.numeric(substr(x, 1, nchar(x) - 1)) Then it seems fairly easy to use matplot to get the values...

Professor Ripley, Thank you for your comments. On 4/28/07, Prof Brian Ripley <ripley at stats.ox.ac.uk> wrote: > How big is abs(lam - lam2[i])/Meps ? Here is the result on my system: > abs(lam - lam2[i...