similar to: SUCCESS

Hello: I've included a txt file ( some day, when I have more time, I'll turn it into latex ) that has the steps for installing R from source on Fedora. It was written only for people like myself who find these tasks difficult. Also, could someone from the R-Sig-Fedora list let me know if the txt file was attached because I don't actually receive emails that I send to the

Hi, I find it a bit annoying that aggregate.default forces the returned object to loose the 'name' of the variable aggregated, replacing it with 'x'. A brief example: > dat <- data.frame(A = runif(100), B = rnorm(100), + Group = gl(4, 25)) > with(dat, aggregate(A, by = list(Group = Group), FUN = mean)) Group x 1 1 0.6523228 2 2

No I am not on the payroll for these people. or any relation of any kind ;) I just like cloud computing thats all Appreciate your kind consideration Mr Simpson- I was not sure of the list so mailed all 3- . The subject line has been modified-hopefully there should be a technical answer to a technical question. Websites- http://decisionstats.com http://dudeofdata.com Linkedin-

Hi: Does anyone know of instructions for installing R.2.14.0 on fedora-linux ( I'm using f14 ) using only the tar.gz file. I don't think it's available at the fedora repo so I can't use yum. I've look at the R-installation instructions but I didn't get very far with that. Even just an internet link is appreciated. Thanks. Mark [[alternative HTML version deleted]]

Dear list, I've just upgraded to Fedora Core 2 and seeing as there wasn't an rpm for this OS on CRAN yet I thought it was about time I had a go at compiling R myself. Having run into the X11 problem I switched to trying to install R-patched. I followed the instructions in the R Installation & Admin manual to download the sources of the Recommended packages and place the files in

1) As long as the developer version of tcltk is installed, I now have no problem compiling R with tcltk support on Fedora Core 3. After extracting the gunzipped directory, I switch to the new directory and execute the following two commands: ./configure ----enable-R-shlib make 2) After compiling JGR as specified on their web site, the JGR program is initialized with the 'run' file.

Dear list, Fully according to the documented behaviour, I was bitten by apply() simplifying results to vectors or arrays when the lengths of the individual objects returns by FUN are the same (over simplification). sapply() has argument simplify with default TRUE to control whether it attempts to simplify the returned objects or not. I do find it a little annoying that one is not able to force

Dear list, In using the scatter.smooth() function (modreg) on a small data set (100 obs) the following error was produced: > scatter.smooth(Na, S) Warning message: k-d tree limited by memory. ncmax= 200 I haven't used scatter.smooth much but when I have, I haven't seen this message before. gc() returns > gc() used (Mb) gc trigger (Mb) Ncells 417693 11.2 667722

Hi, On a new Dell laptop, with a fresh FC3 installation (with latest updates applied) I am experiencing make hanging consistently after/during building grDevices. This happens when using the configure flag --with-lapack (I have the LAPACK rpm distributed with FC3 installed). The last two lines of output are: make[5]: Leaving directory

Dear List, There seems to be an bug in compactPDF() or at least an inconsistency with the documented behaviour. The documentations states: Details: This by default makes use of ?qpdf?, available from <URL: http://qpdf.sourceforge.net/>, including a Windows binary. If ?gs_cmd? is non-empty, GhostScript is used. I don't have qpdf on my system so planned to use

Dear List, I have the following function: coca <- function(x, ...) { if(is.null(class(x))) class(x) <- data.class(x) UseMethod("coca", x) } and a default method coca.default <- function(x, y, method = c("predictive", "symmetric"), reg.method = c("simpls", "eigen"), weights = NULL,

Dear List, This may be related to this email thread initiated by Ben Bolker last month: https://stat.ethz.ch/pipermail/r-devel/2011-July/061630.html In answering this Question on StackOverflow http://stackoverflow.com/q/7195628/429846 I noticed that `methods()` was not listing some S3 methods for `plot()` provided by the mgcv package. At the time I wanted to check the development version of R as

Dear List, I'm building an R syntax highlighting file for GeSHi [*] for a website I am currently putting together. The syntax file needs a list of keywords to highlight. How can I generate a list of all the functions in a base R installation? Ideally the list would be formatted like this: "'fun1', 'fun2', 'fun3'" when printed to the screen so I can copy

Dear List, I'm trying to typeset some chemical ions in axis labels. These have both super and subscript components, and for some, I need a superscript "-". In LaTeX I might use $NO_3^-$ to do the typesetting, but I'm having a problem getting the correct invocation for expression: > expression(NO^{-}[3]) Error: syntax error, unexpected '}' in

Dear List, I have hit this problem with using a plotmath expression in an axis label on a lattice plot I'm including in a Sweave document. The actual document is far too long and boring (unless you are interested in the hydrochemistry of upland lakes) to include here, but the following minimal example reproduces the problem; basically, the PDF produced by Sweave has missing characters in the

Dear List, I am thinking about ways in which I might analyse some stratigraphic data. The nature of the data series I have generates a number of issues: 1) The data I have in mind come from a sediment core sequence taken from the bottom of a lake. The sequence is sliced into a priori defined slices, in this case 0.2cm per slice. in this way a sequence of 0.2cm slices is produced for the

Hi, Given some example data: dat <- seq(4, 7, by = 0.05) x <- sample(dat, 30) y <- sample(dat, 30) error <- x - y I have broken the rage of x into 10 groups and I can calculate the bias (mean(error)) for each of these 10 groups: groups <- cut(x, breaks = 10) max.bias <- aggregate(error, list(group = groups), mean) max.bias group x 1 (4,4.3] -0.7750000 2

Dear DevelopeRs Several functions in a package of mine have complex returned objects that are lists within the returned list. I wish to document each of the components of these sublists. If I do this within a \value{} section and nest \item within an existing \item, I get indented R-help sections in the standard help view (eg as shown by ?foo in Linux), but not in the PDF. For example:

Dear list, There is, I believe, a minor typo in the example section of influence.measures.Rd. In the final example the word `does` appears where I suspect `dose` is required: I couldn't remember exactly what format patches should be in, so here is one as diff would produce: Index: devel/src/library/stats/man/influence.measures.Rd

Hi, Following the Writing R Extensions manual, I created a method for the cor function. As cor is not a generic, I followed the advice of section 6.1 of the same manual and did the following: cor <- function(x, ...) UseMethod("cor") cor.default <- stats::cor cor.symcoca <- function{ some code } I used package.skeleton to create the basic set-up of my package, containing the