similar to: two minor differences in behavior of R and S-plus

Thank you for the reference to Knuth. Indeed in vol. 2 he has a > -----Original Message----- > From: Tony Plate [mailto:tplate@blackmesacapital.com] > Sent: Friday, September 24, 2004 8:05 AM > To: Vadim Ogranovich > Subject: Re: [Rd] algorithm reference for sample() > > Have you tried looking in Knuth's books on computer > algorithms? (They are classics for good

I'm trying to create a language structure that is a call to a function with a number of arguments that is only known at run time. I do this by using repeated indices to expand out a call with a single argument. However, when I change one of the arguments, all are changed. I don't see the same behavior when I initially create a call with multiple arguments. Even more strangely,

Just for fun (and actually because I would use it too) I wrote a version of the "paste" menu command that assumes the clipboard contains a transcript, and just pastes the commands from it into the R console window (Windows GUI only). So, if something like this: > foo <- + 33 > foo * 3 [1] 99 > foo [1] 33 is on the clipboard, then the "paste commands" menu

When using test="F" in stat.anova() / anova.glm(), R uses the assumed dispersion parameter for the specified family (e.g. scale=1 for binomial), while S-PLUS automatically uses the estimated dispersion parameter (residual deviance/residual df). I think there are good reasons for the behavior in R -- it fits with the "you get what you actually asked for" philosophy -- and

Hi! I am studying differences between R and S-PLUS smooth() functions. I know from the help that they worked differently, so I ask: - exist a package that permit to have the same results? - alternatively, someone know how can I obtain the same results in R, using a self made script? I know that S-PLUS use the 4(3RSR)2H running median smoothing and I try to implement it with the code below. I

Hi, I have a piece of code originally written for s-plus - I am trying to run it in R now. The code was obtained from someone who is now not available to give any pointers and I am a beginner in R. Here is where it is getting stuck: > +names(good.motifs[,1]) Error in +names(good.motifs[, 1]) : Invalid argument to unary operator here is now names(good.motifs,1]) looks: >

I was trying to create a function with a value computed at creation time, using substitute(), but I got results I don't understand: > this.is.R Error: Object "this.is.R" not found > substitute(this.is.R <- function() X, list(X=!is.null(options("CRAN")[[1]]))) this.is.R <- function() TRUE > # the above expression as printed is what I want for the

Tony Plate wrote: > ligges@statistik.uni-dortmund.de wrote: > >> tplate@blackmesacapital.com wrote: >> >> >>> I've noticed that seek(con, 0, "end", rw="r") on a file connection >>> does not always work correctly after a write (R 2.1.0 on Windows). >>> >>> [Is a call to fflush() needed inside file_seek() in

Hi, all, I've been converting code from S-Plus ("S" for short) to R for a few weeks. Here are some differences I've found, aside from the big well-known ones (scoping, models, data storage) and the contents of Kurt Hornik's FAQ section 3.3.3. Let me start with the ones that seem like serious bugs or deficiencies: 1) LETTERS[c(NA,2)] in S is

Tony, I don't understand what you mean. Could you give an example? > -----Original Message----- > From: Tony Plate [mailto:tplate at blackmesacapital.com] > > ... I'm not saying "never write functions that use ...", > >I'm just saying "never write functions that depend on a particular > >argument being passed via ...". > > Several

On Sat, Dec 6, 2008 at 9:48 PM, Óscar Fuentes <ofv at wanadoo.es> wrote: > OvermindDL1 <overminddl1 at gmail.com> writes: > >> I had also tried that before, but let me clean it and do it again to >> give you just a debug build log (since the current log just contains >> errors anyway, seeing the whole build might be useful). So what is >> attached is from

Paul Just as in your implied analogy there are significant differences beneath the surface between these programs despite superficial similarities. You will soon get frustrated trying to use both simultaneously as you will not be sure that the critical step you've discovered in one will work in the other. Most basic functions will work but I suspect that you will soon discover some

Also in assign() there some arguments lacking in R such as 'frame' and 'where', though I guess that 'frame' in S may be similar to 'pos' in R. Harvey -----Original Message----- From: David Brahm [SMTP:a215020@agate.fmr.com] Sent: Wednesday, October 03, 2001 11:36 AM To: r-help@stat.math.ethz.ch Cc: Kurt.Hornik@ci.tuwien.ac.at; r-bugs@r-project.org Subject:

Hello Everyone,   My company purchased S-Plus before it was bought out by Tibco. My understanding is that we own version 7.0 outright.   So far, I've been learning in R but thought I might also try working in S-Plus. My understanding is that S-Plus has some useful extra features. Another potential benefit would be the ability to purchase technical support, which I thought might help me to

ligges@statistik.uni-dortmund.de wrote: > tplate@blackmesacapital.com wrote: > > >>I've noticed that seek(con, 0, "end", rw="r") on a file connection does >>not always work correctly after a write (R 2.1.0 on Windows). >> >>[Is a call to fflush() needed inside file_seek() in main/connections.c?] > > > > If you have an idea

tplate@blackmesacapital.com wrote: > I've noticed that seek(con, 0, "end", rw="r") on a file connection does > not always work correctly after a write (R 2.1.0 on Windows). > > [Is a call to fflush() needed inside file_seek() in main/connections.c?] If you have an idea where to fflush() precisely and your patch works, please tell it! I'll happily run

Hi, I am trying to build a binary of Rquantlib package 0.3.5 under Window 7 64bits. I am using mingw gcc version 4.5.1 (tdm64-1) which is a experimental version of 64 bits ming gcc. (http://tdm-gcc.tdragon.net/). I have successfully compiled boost 1.45 and Quantlib 1.0.1 with this gcc. And then when I tried to compile Rquantlib 0.3.5, it reports some error. The first error is like below.

(Another discussion out of R-core, I think anyone in R-devel might have an opinion -- MM): >>>>> "KH" == Kurt Hornik <hornik@ci.tuwien.ac.at> writes: >>>>> Martin Maechler writes: >>>>> "KH" == Kurt Hornik <Kurt.Hornik@ci.tuwien.ac.at> writes: KH> * Bug or feature? R> NULL + NULL real(0) R>

First, many thanks to Frank Harrell for once again helping me out. This actually relates to the next point, which is my contribution to the 'why don't social scientists use R' discussion. I am a hybrid social scientist(child psychiatrist) who trained on SPSS. Many of my difficulties in coming to terms with R have been to do with trying to apply the logic underlying SPSS, with dire

Hi Lang, I'm looking at extending the compilation passes used in the LLILC JIT and it seems like the simplest thing is to make a copy of the SimpleCompiler functor into the LLILC code and then modify it for the phases I want to run. But I was wondering if this was the best approach. Do you expect different clients to create their own compiler functors or do you imagine that SimpleCompiler