similar to: R problem

How do I set the Ruby path that Puppet uses? I have Ruby Enterprise Edition installed for my *application*, installed from source and symlinked (/usr/local/bin/ruby) so it''s in the path, overriding the default .deb installed standard Ruby (/usr/bin/ruby). For *Puppet* I want to use the standard Ruby (/usr/bin/ruby). I''m seeing some hangs during my Puppet runs and I''m

Windows 98 R : Copyright 2001, The R Development Core Team Version 1.2.1 (2001-01-15) Dear friends. How comes this works and produce a single prediction: x <- rnorm(15) y <- x + rnorm(15) predict(lm(y ~ x)) new <- data.frame(x = seq(-3, 3, 0.5)) predict(lm(y ~ x), new, se.fit = TRUE) pred.w.plim <- predict(lm(y ~ x), new, interval="confidence") new1 <- data.frame(x=3)

Greetings: I am trying to build R-2.0.1 from source on windows. My path is set to: .;C:\RStools;C:\MinGW\bin;C:\perl\bin;C:\texmf\miktex\bin;C:\HTMLws\;C:\R201\R201\bin;%System Root%\system32;%SystemRoot%;%SystemRoot%\System32\Wbem;C:\Program Files\ Common Files\Adaptec Shared\System;C:\LINGO9\ and Mkrules has been edited and reads # path (possibly full path) to same version of R on the host

Dear R list, What is the proper way to specify a nested model so that the F values agree with the expected mean square errors? Specifically, suppose I have a design where "Heads" are nested within "Machines". I would like to model the following Y_ijk = Mu + Machine_i +Head_j(i) +Error_k(ij). Using the commands below, > summary(aov(Strain~Machine + Head%in%Machine ))

Dear List: The square of the noncentral t-statistic with noncentrality parameter \delta is a noncentral F with noncentrality parameter \lambda=\delta^2. So, t^2_{\nu,\delta} = F_{1,\nu,\lambda=\delta^2}. Consequently, it should follow that t^2_{1-\alpha/2,\nu,\delta} = f_{1-alpha,1,\vu,\lambda=\delta^2}. However, this is not what is happening with the following code. The central

To my understanding, a confidence interval typically covers a single valued parameter. In contrast, a confidence band covers an entire line with a band. In regression, it is quite common to construct confidence and prediction bands. I have found that many people are connecting individual confidence/prediction interval values produced with predict(object,sd.fit=T,type="conf/pred") and

Hi! How to make tables of frequencies in R? Thanks. Prof. Carlos A. S. de Andrade Universidade Federal da Para?ba Centro de Humanidades Departamento de Economia e Finan?as Tel.:83-333-5509(res) 310-1215(DEF/CH) E-mail: casandrade at super11.net cantonio at ch.ufpb.br -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list --

I am using R-1.9.1 with windows 2000 and trying to build a package. However, when I issue the command: RCMD build --binary BSDA I get: >>> Building/Updating help pages for package 'BSDA' Formats: chm hhc: not found cp: cannot stat `C:/R191/R191/JUNK/BSDA/chm/BSDA.chm': No such file or direc tory make[1]: *** [chm-BSDA] Error 1 make: *** [pkg-BSDA] Error 2 ***

I am trying to build a windows 32 bit version of R 2.11.0 from source on a machine running windows 7 - 64 bit while running as the machine's administrator. I am able to run "make all recommended"...However, once I attempt to build the bitmap files I get the following: C:\Rsource\R-2.11.0\src\gnuwin32>make bitmapdll make -C bitmap make[1]: Entering directory

Dear R users, I just noticed that the function "dos.time" is no longer included with _ platform Windows arch x86 os Win32 system x86, Win32 status Release major 0 minor 65.1 year 1999 month October day 07 language R What if any is the difference between "system.time" and

I was wondering whether somebody has developed a set of Textpad macro that work with R the same way as WinEdt does. I use Textpad for almost everything (programming, creating LaTex docs, etc.), it will be nice if I can use it as my R program editor. Or maybe someone can tell me how that kind of macro works so that I can develop my own macros. Thank you! Best, Shige Song Department of Sociology,

Greetings, I am trying to install R (0.63.2) on a Digital Unix 4.0b Alpha Server 2100A using gcc 2.8.1 and f77 v 0.5.2.3. It seems to compile OK. However, when I try to run R I get the following message: R : Copyright 1999, The R Development Core Team Version 0.63.2 (January 12, 1999) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under

Dear Sir/Madam, Since a few day now I try to use the command "polygenic" from the GenAbel package. However, I keep bumping up against an error message: "Error in polygenic(Testo, kin = kinship, data = data1) : dimension of outcome and kinship.matrix do not match". My data exists of 1240 individuals with 74 markers. It mainly consists of small families (2 or more brothers,

Dear R List, I have created a package (under Windows 2.0.1) with 300+ data sets and <20 or so functions I use in teaching. However, to access the data, one needs to type data(foo) once the package has been installed and loaded. With other packages namely MASS, after the package is installed and loaded with library(MASS), it is possible to refer to a data set say Animals by simply typing

Dear R Users, Is the p-value reported in a two-tailed binomial exact test in error or is it a feature? If it is a feature, could someone provide a reference for its two-tailed p-value computations? Using Blaker's (2000 - Canad. J. Statist 28: 783-798) approach,the p-value is the minimum of the two-tailed probabilities $P \left(Y\geq y_{obs}\right)$ and $P\left(Y\leq y_{obs}\right)$

I've been trying to download from CRAN the floppy versions of the R source files: R-release-1.tar.gz, R-release-2.tar.gz I tried the servers in Seattle, Madison, and the Vienna Technical University. In each case, the file(s) were unavailable. Anne ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Anne E. York National Marine Mammal Laboratory Seattle WA 98115-0070 USA e-mail: anne.york at noaa.gov

Dear all, I think I must be going crazy.... If I do > mean(rpois(1000000, 14)) I get: [1] 13.50420 and again: > mean(rpois(1000000, 14)) [1] 13.49896 > mean(rpois(1000000, 14)) [1] 13.50161 > mean(rpois(1000000, 15)) [1] 14.49250 > mean(rpois(1000000, 15)) [1] 14.49897 > mean(rpois(1000000, 14.5)) [1] 13.99689 > mean(rpois(1000000, 14.5)) [1] 13.9963 This was on a platform

Dear Rusers, I would like to color different sections of a histogram different colors. I have an example that was done by "brute force" given below. Has anyone implemented something like this in general? If not, any suggestions/pointers on how to write a general function to do so would be most appreciated. Alan-

Hey everyone, What am I doing wrong? I loaded the MASS package with library(MASS), and now when I type library() I get > library() Packages in library `F:\r\rw0651/library': MASS Main Library of Venables and Ripley's MASS base The R base package . . . That's fine. The problem is that when I try to use a function that I know is built

Hi, Suppose I have a matrix with, say 12 columns. I would like to extract out column 2 ~ 8 and 11 ~ 12 then combine them together. I tried with success to extract out the columns by doing: foo <- test[,2:8] goo <- test[,11:12] However then I am having trouble combining foo and goo. Helps are appreciated! Cheers, Kevin ----------------------------------- Ko-Kang Kevin Wang