similar to: An example of "overloading" [

Dear developeRs, Compilation of the latest version (0.9-5) of my actuar package fails with r-release MacOS_X ix86 on CRAN; see http://www.R-project.org/nosvn/R.check/r-release-macosx-ix86/actuar-00check.html All errors come from accented letters in comments in latin-1 encoded files (except hierarc.R which is in UTF-8, my bad). Encoding is declared as latin-1 in DESCRIPTION. The package

Package grDevices has a function cm() to convert from inches to centimeters. Its definition is: cm <- function(x) 2.54*x As far as I can tell, the function is not used anywhere in the R sources (I grepped for "cm(", "cm)" and ", cm".) I did not check for all packages on CRAN, though. May I propose to remove this apparently useless function from the sources? [I

Hi R users: I will like to know if somebody works on insurance statistics (actuarial problems) and had use TRICAST, and can tell me if with all the R tools it can be build a solution like TRICAST or similar. In a word: Do you think that R has all the statistical tools (I mean modeling tools) to make a job similar to TRICAST? Does TRICAST has modeling tools that are not implemented on R yet?

I have grouped data in this format Size -- Count 0-10 -- 15 10-20 -- 25 20-50 -- 10 50-100 -- 5 I've been trying to find a way to set this up with the proper histogram heights, but can't seem to figure it out. So any help would be much appreciated! -- View this message in context: http://www.nabble.com/Histogram-for-grouped-data-in-R-tp21624806p21624806.html Sent from the R help

Hi just wondering if there is a package that can get the maximum likelihood or method of moments estimator for distributions with censored data? The distributions I'm interested in are: Exponential, pareto, beta, gamma and lognormal. -- View this message in context: http://www.nabble.com/MLE-for-censored-distributions-in-R-tp15022863p15022863.html Sent from the R help mailing list archive at

Hi, I would like to use the following codes to plot the CDF for pareto distribution. Before doing this, I have plot the emperical one. x <- seq(1.6, 3, 0.1) lines(x,pgpd(x, 1.544,0.4477557,), col="red") Could anyone give me some advice whether the above codes are correct? Many thanks. -- View this message in context:

I'm trying to get R, Sweave, ESS and XEmacs or emacs all installed and working together on my Windows XP Pro system. I've got R 2.6.0 working just fine, installed from the R Windows installer. I also have CYGWIN_NT-5.1 with XEmacs 21.4 working okay. Can anyone point me to any documentation on how to bring these together so that R code typed in Xemacs can be run in R? I found the ESS

Is there a canonical way to check if all elements of a vector or matrix are the same? Solutions below work, but look hackish to me. > x <- rep(1, 10) > all(x == x[1]) # == operator does not provide for small differences [1] TRUE > isTRUE(all.equal(x, rep(x[1], length(x)))) # ugly [1] TRUE Best, Vincent -- Vincent Goulet, Associate Professor ??cole d'actuariat

Dear R developers, I'm a former APL programmer. In that language, the "take" (up arrow) and "drop" (down arrow) operators were extensively used to, well, take and drop elements of vectors. Functions head() and tail() are equivalents in R for the "take" operator, but nothing seems to mimic the "drop" operator. I think it would be useful. For

Dear R People: I have finally seen the error of my ways and have decided to use ESS for R and S + stuff. However, I have a question right from the beginning. I'm somewhat confused by the installation instructions. Do I install XEMACS or ESS first, please? Windows XP R Version 2.0.1 (S + 6.2) Thanks so much! Sincerely, Laura Holt mailto: lauraholt_983 at hotmail.com

Dear All, A simple question: packages like fitdistr should be ideal to analyze samples of data taken from a univariate distribution, but what if rather than the raw data of the observations you are given directly and only a histogram? I was thinking about generating artificially a set of data corresponding to the counts binned in the histogram, but this sounds too cumbersome. Another question is

[Version fran??aise plus bas] To the R community, A quick word to announce the publication of my document "Introduction ?? la programmation en S". It is available in the French section of the Contributed Documentation page of CRAN. Many of the documents or books currently available on S-Plus and/or R present the software in a statistical analysis context. My document rather focuses

Hi, how can I treat data organised in classes and frequencies? Ex. class frequency 20-23 9 23-25 7 26-28 5 29-31 5 32-34 3 Thanks Angelo Scozzarella

Full_Name: marco zamboni Version: no R version OS: ubuntu gusty Submission from: (NULL) (87.9.174.188) I have just finish to install gusty ubuntu on my AMD sempron. I would like to: $ sudo apt-get install r-base but ... I seguenti pacchetti hanno dipendenze non soddisfatte: r-base: Dipende: r-base-core (>= 2.6.1-1gutsy0) ma 2.5.1-1 sta per essere installato Dipende:

Full_Name: marco zamboni Version: no R version OS: ubuntu gusty Submission from: (NULL) (87.9.174.188) I have just finish to install gusty ubuntu on my AMD sempron. I would like to: $ sudo apt-get install r-base but ... I seguenti pacchetti hanno dipendenze non soddisfatte: r-base: Dipende: r-base-core (>= 2.6.1-1gutsy0) ma 2.5.1-1 sta per essere installato Dipende:

I created a type of object similar to a data frame. In some circumstances, It needs special methods for "[" and "[<-" and rbind() (but not cbind()). Then I found this in the cbind()/rbind() man page: The method dispatching is _not_ done via 'UseMethod()', but by C-internal dispatching. Therefore, there is no need for, e.g., 'rbind.default'.

Hy all, Is there a direct way to build the complete function call of an arbitrary function? Here's what I want to do. A function will build a function which will itself call a probability density function for some law given in argument to the first function: > f("gamma", 1000) will return, say, function(x, shape, rate, scale = 1/rate) dgamma(x + 1000, shape, rate,

> Looking for a simple, effective a minimum execution time solution. > > For a vector as: > > c(0,0,1,0,1,1,1,0,0,1,1,0,1,0,1,1,1,1,1,1) > To transform it to the following vector without using any loops: > (0,0,1,0,1,2,3,0,0,1,2,0,1,0,1,2,3,4,5,6) > Appreciate any suggetions. [[alternative HTML version deleted]]

Hi all, Is there an option in Sweave to avoid it from stopping on a code chunk with an error? (I purposefully want to include code with an error in class notes.) I suspect the answer is "no" and that I will be pointed to options("error"). That'd be fine, but which error parameter will just "do nothing" in case of an error? Thanks in advance! -- Vincent

Le Mercredi 5 Juillet 2006 09:41, Dirk Eddelbuettel a ?crit?: > Salut Vincent, > > On 4 July 2006 at 23:27, Vincent Goulet wrote: > | I'm currently following your procedure suggested on R-SIG-Debian > | (https://stat.ethz.ch/pipermail/r-sig-debian/2006-June/000095.html) to > | compile and install the latest version of R on Kubuntu. It is my > | understanding that I