similar to: R under Red Hat Linux 6.0

When I try to install the R RPM under Mandrake Linux 7.1 (intel), I get the following error: [root at edgeworth programs]# rpm -ivh R-base-1.1.1-1.i386.rpm error: failed dependencies: libreadline.so.3 is needed by R-base-1.1.1-1 [root at edgeworth programs]# I do have realine installed: [root at edgeworth programs]# rpm -qa | grep readline readline-4.1-4mdk and

I am trying to install R under Red Hat Linux 5.2, but the following error happens: [root at edgeworth cribari]# rpm -ivh R-base-0.63.2-1.i386.rpm failed dependencies: libncurses.so.3.0 is needed by R-base-0.63.2-1 I must be missing something very simple. I would appreciate any guidance. Thanks. FC. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

I am running R 1.2.1 under Mandrake Linux 7.2 (installed from RPM) and I installed a few packages using install.packages() . Now, I am trying to upgrade these packages using update.packages() but I believe I am running into some kind of error. See below. Any tips will be greatly welcome. Thanks in advance. Francisco PS: update.packages() only tries to update wle from version 0.3 to 0.4, gives

I am running R 1.2.2 under Linux. When using the function stl in the ts library, how can I save the seasonal component? What I would like was something like: library(ts) data(nottem) data.stl <- stl(nottem, "per") x <- data.stl$sea This what I get: > x NULL I would, however, like to store in x the seasonal component. Thanks in advance. Francisco. -- Francisco

Does anyone have an R function for the estimation of Tobit regression models (for censored responses), as described, e.g., in Davidson, R. and MacKinnon, J.G., 1993, Section 15.7, Estimation and Inference in Econometrics, Oxford University Press? Thanks. FC. -- Francisco Cribari-Neto voice: +55-81-32718420 Departamento de Estatistica fax: +55-81-32747425 Universidade

Hi David, I hope all is well w/ you. Co-operation beetwen R and Ox would be most welcome. A possible problem lies in the fact that, although free for academic use, Ox is not open source. I too have been using Ox for computer-intensive programming. I also code some of my programs in C, but I always try Ox first, and in most cases it is efficient enough. For details, see

I'll be even more tangent. Those interested in Ox, see http://www.de.ufpe.br/~cribari/ox.pdf Cheers, Francisco. Date: Fri, 6 Apr 2001 09:34:19 +0100 (BST) From: Bill Simpson <wsi at gcal.ac.uk> Subject: Re: [R] Using Gauss with R This is a tangent to your question. The economist Jurgen Doornik has written a language called Ox: http://www.nuff.ox.ac.uk/Users/Doornik/doc/ox/ox.htm

OK, I am forwarding this to the r-help. In the original message I simply hit reply and I thought I send to ALL r-help list. (apparent not) also I recieved another piece of mail.....about the RNG in Splus 4.0 or later indicating it was modified and getting worse. I only have Splus 3.4 for HP. So I cannot try it. This makes the idea of using the pre-generated RN on CDROM more appealing.. Mai

A nice free software with a GUI-interface (which can be linked to R, BTW) is GRETL: http://gretl.sourceforge.net/ . Some people may find it useful for basic stuff. Regards, Francisco. -- Francisco Cribari-Neto voice: +55-81-32718420 Departamento de Estatistica fax: +55-81-32718422 Universidade Federal de Pernambuco e-mail: cribari at de.ufpe.br Recife/PE, 50740-540,

Two questions: 1. inverse.gaussian is up there as one of the glm families, but do people ever use it? There is no inverse.gaussian in the R distribution family, and when I checked McCullagh & Nelder, it only appeared twice in the book (according to subject index), once in the table on p. 30 and once on p. 38 in a passing sentence. Is there a good reference on this distribution? 2. When I

Full_Name: David Simcha Version: 2.10 OS: Windows XP Home Submission from: (NULL) (173.3.208.5) > a <- c(1:10) > b <- c(1:10) > cor.test(a, b, method = "spearman", alternative = "greater", exact = TRUE) Spearman's rank correlation rho data: a and b S = 0, p-value < 2.2e-16 alternative hypothesis: true rho is greater than 0 sample estimates:

Any thoughts on the following? Am I missing something? [I am running R for Windows 0.63.1 on a Win NT 4.0 (workstation, sevice pack #4) box.] Thanks. FC. R : Copyright 1998, The R Development Core Team Version 0.63.1 Beta (Dec 5, 1998) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type "?license" or

Hi I would like to start by thanking everyone that replied. Thank you for the information, and for the comments about how or why you use it and thankx for the encouragement re my talk.... Please note that I do not claim to have ellicited a reply from all users of R, this is a quick survey not a census. I have tried to break the responces down to the following categories: Where: (hopefully

Is the following difference between S+ and R normal or is it a bug? Thanks. FC. PS: S+ 4.5 for Windows and R 0.63.1 for Windows. S-PLUS output: > inverse.gaussian()$deriv > function(mu) > -2/mu^3 R output: > inverse.gaussian()$deriv > NULL -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Full_Name: Jacob Rørbech Marstrand Version: 63.3 OS: RedHat Linux 6.0 Submission from: (NULL) (129.142.179.3) I had R running in RedHat Linux 5.2. After updating to RedHat Linux 6.0 I get the following message when I try to start R. /usr/lib/R/bin/R.binary: error in loading shared libraries: /usr/lib/R/bin/R.binary: undefined symbol: __setfpucw After that Ive tried to upgrade with the newest

RPMs of R-0.64.1 are now available for Red Hat Linux/Intel 6.0. They should be mirrored to a CRAN site near you over the weekend. If you are desperate you can get them now from: ftp://ftp-fis.iarc.fr/pub/R/RedHat/6.0/i386 GNOME SUPPORT ------------- If you have GNOME installed, then use the "R-base-gnome" package. Otherwise just use the "R-base" package. This is change from

Dear R-helpers: We have had fun using betareg to fit models with proportions as dependent variables. However, in the analysis of these models we found some wrinkles and don't know where is the best place to start looking for a fix. The problems we see (so far) are that 1. predict ignores newdata 2. anova does not work Here is the small working example: ---------------------------- x

Dear R users, I have a statistical question regarding on the Edgeworth expansion of a random vector. Assume x is a d-dimensional random vector, and whats the expression of its Edgeworth expansion up to order 4? I only get the formulation for a scalar random variable. So anyone can help me out on this problem? Thanks for your comments or advice. Fred [[alternative HTML version deleted]]

Hi Everyone, Following the previous discussion on optimizing *wilcox functions, Andreas Loeffler brought to my attention a few other bugs in `wilcox` family functions. It seems like these issues have been discussed online in the past few months, but I haven?t seen discussion on R-devel...unless I missed an email, it seems like discussion never made it to the mailing list. I haven?t seen any bug

I am new to R and I was wondering if I could ask a few questions. (I am running R on a Windows NT box.) 1. Is the random number generator in R the same as the one in S "Super-Duper")? 2. Is it possible to use dyn.load in the Windows version? 3. When is the next release of R coming out? Thanks a lot. Best, Francisco --