similar to: Re: forwarded message from Ross Ihaka

Hello all, There is currently a (very !) lively discussions happening around the web, surrounding the following topics: 1) Is R efficient? (scripting wise, and performance wise) 2) Should R be written from scratch? 3) What should be the license of R (if it was made a new)? Very serious people have taken part in the debates so far. I hope to let you know of the places I came by, so you might be

I have used polygon() to mark the confidence limits of a survival curve. In another project, I have used the col parameter to fill my boxplots. The poly() description refers to filling but actually produces hatching (i.e. lines ). boxplot() does truly fill the boxes with a colour or shades of grey (e.g. col="red"). My novices perception of R graphics is: If you can hatch it, you

Hello dear members of R-help and R-core mailing list, I am not sure if this request is a "ticket" that should be filled somewhere outside the mailing list. If so, I apologize for not doing and would like to know where I should have filled it. And to the subject matter: I would like to use a command like this: plot(c(1,8), 1:2, type="n") polygon(1:7, c(2,1,2,NA,2,1,2),

Hello dear members of R-help and R-core mailing list, I am not sure if this request is a "ticket" that should be filled somewhere outside the mailing list. If so, I apologize for not doing and would like to know where I should have filled it. And to the subject matter: I would like to use a command like this: plot(c(1,8), 1:2, type="n") polygon(1:7, c(2,1,2,NA,2,1,2),

I came across a quite interesting post from Ross Ihaka, thought would be good to share it and get the opinion of folks around here. I am not sure where to post this for the R community but since it has to do with development I thought or R-devel Ross Ihaka Newsgroups: comp.lang.lisp From: Ross Ihaka <ih... at stat.auckland.ac.nz> Date: Wed, 23 Jan 2008 10:35:26 +1300 Local: Tues, Jan 22

Dear Listers, I am drawing a plot of two density curves, for male and female incomes. I would like to shade/hatch/color (whatever) the areas under the curves which are distinctive for each gender. This is the code I have tried so far: m <- density(topmal.d$y, bw = "sj") f <- density(topfem.d$y, bw = "sj") par(mfrow = c(1,1)) plot(x = c(0,400), y = c(0,0.02), type =

Why is the described system preferable to Julia? On Fri, Aug 5, 2016, 4:50 AM peter dalgaard <pdalgd at gmail.com> wrote: > > On 05 Aug 2016, at 06:41 , Andrew Judson <ajskim at gmail.com> wrote: > > > I read this paper > > <https://www.stat.auckland.ac.nz/~ihaka/downloads/Compstat-2008.pdf> and > > haven't been able to find out what happened - I

When it was being actively worked on, it had the advantage of existing. Hadley On Fri, Aug 5, 2016 at 10:48 AM, Kenny Bell <kmbell56 at gmail.com> wrote: > Why is the described system preferable to Julia? > > On Fri, Aug 5, 2016, 4:50 AM peter dalgaard <pdalgd at gmail.com> wrote: > >> >> On 05 Aug 2016, at 06:41 , Andrew Judson <ajskim at gmail.com>

No. Hadley On Fri, Aug 5, 2016 at 11:12 AM, Kenny Bell <kmbell56 at gmail.com> wrote: > Is it conceivable that Julia could be ported to use R syntax in a way that > would allow the vastly larger numbers of R programmers to seamlessly switch? > Or equivalently, could an iteration of R itself do this? > > > On Fri, Aug 5, 2016, 9:00 AM Hadley Wickham <h.wickham at

I read this paper <https://www.stat.auckland.ac.nz/~ihaka/downloads/Compstat-2008.pdf> and haven't been able to find out what happened - I have seen some sporadic mention in message groups but nothing definitive. Does anyone know? [[alternative HTML version deleted]]

Is it conceivable that Julia could be ported to use R syntax in a way that would allow the vastly larger numbers of R programmers to seamlessly switch? Or equivalently, could an iteration of R itself do this? On Fri, Aug 5, 2016, 9:00 AM Hadley Wickham <h.wickham at gmail.com> wrote: > When it was being actively worked on, it had the advantage of existing. > > Hadley > > On

But you can easily fall back to R from within Julia; see http://juliastats.github.io/RCall.jl/latest/ On Aug 5, 2016 1:27 PM, "Hadley Wickham" <h.wickham at gmail.com> wrote: > No. > > Hadley > > On Fri, Aug 5, 2016 at 11:12 AM, Kenny Bell <kmbell56 at gmail.com> wrote: > > Is it conceivable that Julia could be ported to use R syntax in a way > that

Thanks for the question. Here is a sample of the code for my plot: Top = c(34, 39, 42, 45, 46, 41, 41, 40, 43, 38, 33, 33) Bottom = c(24, 29, 32, 36, 32, 34, 32,41, 40, 39, 29, 24) plot(1,1, col = "white", xlim = c(1.3,11.7), ylim = c(0,80), axis = FALSE, xaxt = "n") axis(1, at = c(1:12)) polygon(c(c(1:12),c(12:1)), c(top, bottom), col =

Hi folks: Any idea when the density and angle arguments to polygon() are to be implemented? Or is there another way to achieve hatching fill patterns? TIA. Rajiv. -------- Rajiv Prasad Postdoctoral Research Associate, Hydrology Group Pacific Northwest National Laboratory, P.O. Box 999, MSIN K9-33 Richland, WA 99352 Voice: (509) 375-2096 Fax: (509) 372-6089 Email: rajiv.prasad at pnl.gov

I'm trying to convert some S-Plus code which generates barplots and other shaded area plots to R. If I specify that I want hatching using the angle and density arguments, the messages 1: argument `density' is not used (yet) in: .NotYetUsed("density", error = FALSE) 2: argument `angle' is not used (yet) in: .NotYetUsed("angle", error = FALSE) so apparently these

Dear R-users, Hereby a polar plot function for plotting angular data. I hope it will be usefull for some of you. I had a need to plot frequencies of wind-directions. The not-that-cheap SigmaPlot software did not allow me to change the orientation of the angular axis to clockwise orientation (what is used for meteorological observations). I even tried the latest version availible at the time

Hi, The R FAQ suggests that we can cite Ihaka and Gentleman (1996) in publications. Does anyone have an electronic copy of this that could be (legally) made publically available -- my library here doesn't take this journal (Journal of Computational and Graphical Statistics). Otherwise, I can order it through interlibrary loan. Thanks, Stephen

In their paper, "Lexical Scope and Statistical Computing", the authors ( Gentleman and Ihaka ) go to great length explaining why R's use of lexical scoping creates advantages when doing statistical computations. If anyone has or is familiar with this paper, could they provide the main program code for how the "newton" function would be called in their example on page 500

Hi. I've tried to create a polygon with one hole by gpclib using following example script. holepoly <- read.polyfile(system.file("poly-ex/hole-poly.txt", package ="gpclib"), nohole = FALSE) area.poly(holepoly) plot(holepoly,poly.args=list(col="red",border="blue")) And I noticed plot function couldn't draw polygons with holes correctly.

I am a new user of the R spatstat package and am having problems creating a polygonal observation window with owin(). Code follows: library("maps") library ("sp")` library("spatstat") mass.map <- map("state", "massachusetts:main", fill=T) # This returns a data frame includding x and y components that form a polygon of massachusetts mainland`