similar to: Truncated labels in hist (PR#8864)

Hi, people. I met a little problem for which someone might have a solution. Let's say I have an executable file (named "pp.R") with this contents: #!/usr/bin/Rscript options(echo=TRUE) a <- 1 Sys.sleep(3) a <- 2 If I execute "./pp.R" at the shell prompt, the output shows the timely progress of the script as expected. If I use "./pp.R | tee

Hi, R friends. I had some difficulty with the following code: qqnorm(freq, log='y') qqline(freq) as the line drawn was seemingly random. The exact data I used appears below. After wandering a bit within the source code for "abline", I figured out I should rather write: qqnorm(freq, log='y') par(ylog=FALSE) qqline(log10(freq)) par(ylog=TRUE)

Hi, people. xy.coords() does not behave like its documentation says, when given some matrices. ?xy.coords says: If 'y' is 'NULL' and 'x' is a [...] formula [...] list [...] time series [...] matrix with two columns [...] In any other case, the 'x' argument is coerced to a vector and returned as *y* component [...] Now, consider this short

Hi, people. The output produced by "?options" contains: 'expressions': sets a limit on the number of nested expressions that will be evaluated. Valid values are 25...500000 with default 1000. [...] and a bit further down: The 'factory-fresh' default settings of some of these options are [...] 'expressions'

Hi, people. ?alist says: 'alist' is like 'list', except in the handling of tagged arguments with no value. As written, this description is misleading. For example: > list(e=3+5) $e [1] 8 > alist(e=3+5) $e 3 + 5 We are not in the situation of tagged arguments with no value, and then, clearly, 'list' and 'alist' behave

Hi, R people. Consider the following small R session: ======================================================================> > a <- c(8.48, 9.58, 9.96) > stem(a) The decimal point is at the | 8 | 8 | 5 9 | 9 | 6 10 | 0 > stem(round(a,1)) The decimal point is at the | 8 | 5 9 | 9 | 6 10 | 0

Hi, people. Two days ago, I sent to this list a little toy for exploring polynomiographs (yet, the mathematical formulas were not polynomials anymore, so the name is not really appropriate). After studying R calls, expressions and functions a bit more, I gave myself the homework of producing an animation out of my recent toy. The resulting animation, and also the sources, are available at:

Hi, people. Here is a transcript of a "R --vanilla" session: ======================================================================> R : Copyright 2005, The R Foundation for Statistical Computing Version 2.2.1 (2005-12-20 r36812) ISBN 3-900051-07-0 R est un logiciel libre livr?? sans AUCUNE GARANTIE. Vous pouvez le redistribuer sous certaines conditions. Tapez 'license()'

Except for the ability to perform circular recalculation, I believe that the closest programming analogy to a spreadsheet is a functional programming language. Check out Haskell (or LISP or Erlang) to do what you describe. -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Fran?ois Pinard Sent: Wednesday, August 29, 2007

I noticed that R scripts produce a spurious white line after output. For example, the following shell script, #!/bin/sh R --slave --vanilla <<EOF cat("Hello\n") EOF when made executable under the name ``hello`` along the search path, behaves like this: $ hello | od -bc 0000000 110 145 154 154 157 012 012 H e l l o \n \n 0000007 The second newline is

--KsGdsel6WgEHnImy Content-Type: text/plain; charset=iso-8859-1; format=flowed Content-Disposition: inline Content-Transfer-Encoding: 8bit Hi, people. Wandering in R archives, and seeing the message attached below, I noticed that: mapply(rep,times=1:4, MoreArgs=42) still segfaults on R 2.2.0, and thought I should be a good citizen and report it, even if I do not have an actual problem

[ronggui] >R's week when handling large data file. I has a data file : 807 vars, >118519 obs.and its CVS format. Stata can read it in in 2 minus,but In >my PC,R almost can not handle. my pc's cpu 1.7G ;RAM 512M. Just (another) thought. I used to use SPSS, many, many years ago, on CDC machines, where the CPU had limited memory and no kind of paging architecture. Files did

Hi, people. Allow me to chat a tiny bit on two vectorisation-related matters, in the context of R. I'm curious about if the following ideas have ever been considered, and rejected already. First is about using the so-called Duff's device for partially unrolling loops. I did not overly check in R sources, and am not familiar with them anyway, but the only usage I saw is within

Hi, people. I was a bit intrigued by the message quoted below. Indeed, if pt() is given a matrix, it returns a matrix. Should this feature be documented? ?pt speaks about "a vector of quantiles", and says nothing about the type of what it returns. The same might presumably apply to other distribution-related functions. ----- Forwarded message from Martyn Plummer <plummer at

Hi, R people. I'm shy reporting this, as a bug in this area sounds very unlikely. Did I make my tests wrongly? I'm still flaky at all this. Let me dare nevertheless, who knows, just in case... Please don't kill me! :-) Not so long ago, I wrote to this list: > (For now, [the library code] works only for me when I do _not_ use `-l > MY/OWN/LIBDIR' at `R CMD INSTALL'

Hi, people. A tiny suggestion for the system.time function. Could the returned vector have names? These could be like: c("User", "System", "Elapsed", "Sub.User", "Sub.System") That would then produce self-documenting output. -- Fran?ois Pinard http://pinard.progiciels-bpi.ca

Hi, people! This is my first babble on this list, please be kind! :-) Last Tuesday, I wrote to the (likely) Webmaster of the R site to report a little problem, but also to ask for advice about how to get a bulk copy of the mailing list archives, from 2002 to now. While I quite understand that from Tuesday to now, there has been little time, and it is only normal that I did not receive a reply

> -----Original Message----- > > [ronggui] > > >R's week when handling large data file. I has a data file : 807 vars, > >118519 obs.and its CVS format. Stata can read it in in 2 minus,but In > >my PC,R almost can not handle. my pc's cpu 1.7G ;RAM 512M. > > Just (another) thought. I used to use SPSS, many, many years ago, on > CDC machines, where

Hi, people. Within ?hist (using R 2.3.0), one reads: density: values f^(x[i]), as estimated density values. If 'all(diff(breaks) == 1)', they are the relative frequencies 'counts/n' and in general satisfy sum[i; f^(x[i]) (b[i+1]-b[i])] = 1, where b[i] = 'breaks[i]'. I trip on this explanation each time I read it. Some R guardians will be

ronggui wrote: > If i am familiar with > database software, using database (and R) is the best choice,but > convert the file into database format is not an easy job for me. Good working knowledge of a DBMS is almost invaluable when it comes to working with very large data sets. In addition, learning SQL is piece of cake compared to learning R. On top of that, knowledge of another (SQL)