similar to: R-1.2.3 is released

hi, I want to plot a dotplot graph but unfortunately R does not have it any more. It suggest to use either the stripchart or the dotchart and i prefer to play around with the stripchart graph. Sadly, the result is not like i want where I'm actually wants the plots/points were scattered around the x-axis. Plus, from the results shows that and the x-axis gave a very large scale, i.e

Hi is it possible to fit a trend line (or some other panel function) through each of multiple data series plotted on the same graph? Specifically, while one can do something like xyplot(a+b+c~x) which plots three series, a,b & c, but can one automatically fit lines through each of them? I suppose one could generate three more variables afit, bfit, and cfit with a model & predict and

I've had a play with this and, due to my own short-comings, remain none the wiser. In particular, I'm not sure what value of 'spar' is consistent with the magic lambda=1/1600 for quarterly data. I initially interpreted spar as lambda and tried setting spar=1/1600. This results in almost no smoothing while spar=1600 causes an error. The smooth.spline function seems to want

Hello, I come from a non statistics background, but R is available to me, and I needed to test an implementation of smoothing spline that I have written in c++, so I would like to match the results with R (for my unit tests) I am following http://www.nabble.com/file/p25569553/SPLINES.PDF SPLINES.PDF where we have a list of points (xi, yi), the yi points are random such that: y_i = f(x_i) +

I've rolled up R-1.9.0.tgz a short while ago. This is a new version with a number of new features, most notably a substantial reorganization of the standard packages, a major update of the grid package, and the fact that underscore can now be used as a regular character in variable names. See below for further changes. Because of the disturbances at the machine that hosted the CVS archives,

I've rolled up R-1.9.0.tgz a short while ago. This is a new version with a number of new features, most notably a substantial reorganization of the standard packages, a major update of the grid package, and the fact that underscore can now be used as a regular character in variable names. See below for further changes. Because of the disturbances at the machine that hosted the CVS archives,

I am working with transition matrices of sequences of animal behaviours. What I would like to do is parse the original matrices, adjusting row/column order so that the matrix has its main values in blocks surrounding the diagonal. This would cause behaviours involved in functional groupings (e.g. grooming, resting, foraging etc) to appear as blocks. This can be done manually by applying

Hello, I come from a non statistics background, but R is available to me, and I needed to test an implementation of smoothing spline that I have written in c++, so I would like to match the results with R (for my unit tests). I am following Smoothing Splines, D.G. Pollock (available online) where we have a list of points (xi, yi), the yi points are random such that: y_i = f(x_i) + e_i

The pursuit projection packages ppr is an excellent contribution to R. It is great for one-to-three ridge fits, often somewhat intuitive, and for multi-ridge fits, where it at least describes a lot of variance. Like many folk, I need to report the fits obtained from ppr to the greater, outside, non-R world. It is fairly obvious how to use the terms alpha and beta to report on

Not an R question directly, but has anyone got a method for placing a moderately large number of (near) equi-spaced points on a sphere? I have a nasty feeling platonic solids are needed for exact solutions and I'm thinking of samplings involving around 200 - 1000 regularly-spaced points, Thanks, Richard Rowe Richard Rowe Senior Lecturer Department of Zoology and Tropical Ecology, James

I am attempting to plot frequency of occurrence against (calendar) time. As the output is to be produced as a Powerpoint picture on a dark background I wish to make the plot output yellow > par(col="yellow", col.axis="yellow", col.lab="yellow", col.main="yellow") > plot(t2, t1, ylim=c(0,40), main="Episynlestes run 2",

Dear list, yet another question on S4 method behaviour or rather its side effects: Consider the following example (see below) where a new S4 method 'predict' is defined which by doing so makes 'predict' a S4 standardGeneric. It works and simple test examples run but I'm cautious whether this is a 'silly' thing to do. Is this a dangerous thing to do, already known to

Please preemptively excuse my ignorance. I'm trying to fit a cubic smoothing spline to a time series according to a method encountered in a paper. The authors state that they fit a spline whose frequency response is 50% at a wavelength of n years where n is 67% of the length of the time series. Is it possible to fit a spline like this in R using the spar parameter in smooth.spline? Or is

Is it really possible that nobody can help me with this? Is r-help too overwhelmed now? Any help appreciated - Jon On 7/16/07, Dr Carbon <drcarbon at gmail.com> wrote: > Please preemptively excuse my ignorance. > > I'm trying to fit a cubic smoothing spline to a time series according to a method encountered in a paper. The authors state that they fit a spline whose frequency

Can someone please show me how to smooth time series data that I have in the form of a zoo object? I have a monthly economies series and all I really need is to see a less jagged line when I plot it. If I do something like s <- smooth.spline(d.zoo$Y, spar = 0.2) plot(predict(s,index(d.zoo)), xlab = "Year") # not defined for Date objects and if I do something like

Hi r-helpers. Please forgive my ignorance, but I would like to plot a smoothing spline (smooth.spline) from package "stats", and show the knots in the plot, and I can't seem to figure out where smooth.spline has located the knots (when I use nknots). Unfortunately, I don't know a lot about splines, but I know that they provide me an easy way to estimate the location of local

Hello R-Users, I have recently run into several problems using vgam() in the VGAM package. I am hoping someone might have some solutions... Briefly, I have been trying to fit GAM models for zero-altered negative binomial models. 1. When fitting smoothed parameters (e.g. s(X, df=2)) changing the degrees-of-freedom has no effect on the level of smoothing (e.g. number of knots for the

I think this was asked recently but I can't find the item. Is it possible to find the colour at a point on a graphics page? I want to estimate the area of a complex shape by colouring it then random sampling from an enclosing box ... Richard Rowe Richard Rowe Senior Lecturer Department of Zoology and Tropical Ecology, James Cook University Townsville, Queensland 4811, Australia fax (61)7

I'm trying to use the biological female and male signs in R2.5.1 under Windows XP. I can access and insert these symbols using word-processors. In general these should be available as \u2640 and \u2642 but I can't make them happen in R using (say) text(5,5, "\u2640") message "invalid \uxxxx sequence" I've replaced Arial with Arial unicode MS in Rdevga and

I've rolled up R-2.7.2.tar.gz a short while ago. This is intended as a wrap-up release containing all known fixes to issues with the 2.7.x series. See the full list of changes below. You can get it (in a short while) from http://cran.r-project.org/src/base/R-2/R-2.7.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due