similar to: AW: R-crash using cut-and-paste (PR#472)

This would be easier if base::set.seed() accepted a value of .Random.seed instead of just a scalar integer or, new to R-3.0.0, NULL. If set.seed() returned the previous value of .Random.seed (NULL if there was no previous value) things might be even easier. People should not have to know where .Random.seed is stored. S+'s set.seed() accepts a value of .Random.seed but does not return the

Dear all, When running function 'testQAReport()', which uses function 'buildVignettes()' to create a pdf-file I get the following error: > source("testQAReport.R") > testQAReport() Error in .get_package_metadata(pkgdir) : Files 'DESCRIPTION' and 'DESCRIPTION.in' are missing. Since I did not get this error in earlier versions of R, could you

Hi all, I am new to python, R and rpy2. I having few errors when I am using 'fisher.test' function where I am struck now. Please help to fix these bugs. My code for fisher.test goes this way *from rpy2 import * import rpy2.robjects as robjects def fisherExact(a,b,c,d): v = [a,b,c,d] m = robjects.r['matrix'](v,2,2) s = robjects.r['fisher.test'](m) return s *

Dear R-community, not to re-invent the wheel I wonder if someone of you has ever written a function to compute the GHK smooth recursive simulator to estimate multivariate normal probabilities. See for instance page 194 of @BOOK{Greene97, author = {William H. Greene}, year = 1997, title = {Econometric Analysis}, edition = {3rd}, publisher = {Prentice-Hall}, address = {New Jersey

It took me by surprise to find that choose(4,5) delivers [1] NaN Warning message: NaNs produced in: choose(n, k) If we look at choose(4,5) as the number of ways of choosing 5 objects from 4 I would have expected 0 as result. Furthermore dhyper(5,4,6,5) does deliver 0 and this essentially equivalent to choose(4,5)*choose(6,0)/choose(10,5).

I found the following strange behavior using qnorm() and pnorm(): > x<-8.21;x-qnorm(pnorm(x)) [1] 0.0004638484 > x<-8.22;x-qnorm(pnorm(x)) [1] 0.01046385 > x<-8.23;x-qnorm(pnorm(x)) [1] 0.02046385 > x<-8.24;x-qnorm(pnorm(x)) [1] 0.03046385 > x<-8.25;x-qnorm(pnorm(x)) [1] 0.04046385 > x<-8.26;x-qnorm(pnorm(x)) [1] 0.05046385 > x<-8.27;x-qnorm(pnorm(x))

Dear All, I've read the manual on "Writing R Extensions" and in particular the part on calling R from C. (Most of the manual is about calling C from R, not the other way around.) The good news is that I can now call _some_ R from C, specifically the R functions which have C header files. However it isn't clear to me how to call R functions that are written in R. I

Is this a bug? >"xx" <- c(50, 79, 120, 78, 90, 100, 78, 80, + 90, 80, 60, 39, 90, 85, 140, 100, 80, 80) > boxplot.stats(xx)$stats [1] 60 78 80 90 100 > boxplot.stats(0.1*xx)$stats [1] 7.8 7.8 8.0 9.0 10.0 I suppose the way the numbers in 0.1*xx are internally stored may cause this problem: > formatC(0.1*xx[2],format="f",digits=16) [1]

Hello all, I wonder if there is a package including a program to display a 3dim histogram. Thanks. --- D.Trenkler --- **************************************************************************** ***** Dr. Dietrich Trenkler (dtrenkler at nts6.oec.uni-osnabrueck.de) Statistik / Empirische Wirtschaftsforschung Universitaet Osnabrueck Rolandstrasse 8

I wonder if something like this has been reported before: > pexp(85:86,0.438) [1] 1 -Inf --please do not edit the information below-- Version: platform = i386-pc-mingw32 arch = i386 os = mingw32 system = i386, mingw32 status = major = 1 minor = 5.0 year = 2002 month = 04 day = 29 language = R Windows NT 4.0 (build 1381) Service Pack 6 Search Path: .GlobalEnv,

Dear "Debuggers", please have look a the following: > plot(0:1,0:1,type="n") > points(c(0,0.5,1),c(0,0.5,1)) > dev.print(device = postscript, width=5 , height=5, file="test1.ps") windows 2 ># This worked > dev.print(device = pdf, width=5 , height=5, file="test1.pdf") windows 2 ># That also >

The following is a data frame > "jjd" <- structure(list(Observations = c(6.8, 6.6, 5.3, 6.1, 7.5, 7.4, 7.2, 6.5, 7.8, 9.1, 8.8, 9.1), LevelA = structure(c(1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3), .Label = c("A1", "A2", "A3"), class = "factor"), LevelB = structure(c(1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2), .Label =

Thorsten is right. There is a direct formula for computing the Moore-Penrose inverse using the singular value composition of a matrix. This is incorporated in the following: mpinv <- function(A, eps = 1e-13) { s <- svd(A) e <- s$d e[e > eps] <- 1/e[e > eps] return(s$v %*% diag(e) %*% t(s$u)) } Hope it helps. Dietrich

Hi All, Would be grateful,if anyone can answer my queries. I need to share code. For example, if I am working in C/C++, I would put some function declarations in .h files that you would include. In PHP, I would create files with the common functions in them and then "include()" them. So far, I haven't been able to figure out what the standard practice is in R. The two options

On Wed, Apr 29, 2015 at 8:12 PM, Paul Gilbert <pgilbert902 at gmail.com> wrote: > > As I recall, several packages mask the simulate generic in stats, if you > are looking for examples. > FWIW, here is a list of base* functions masked** by CRAN packages: https://github.com/gaborcsardi/rfunctions/blob/master/rfunctions.md Look at the long table in the end. simulate indeed comes up

>>>>> G?bor Cs?rdi <csardi.gabor at gmail.com> >>>>> on Wed, 29 Apr 2015 23:07:09 -0400 writes: > On Wed, Apr 29, 2015 at 8:12 PM, Paul Gilbert <pgilbert902 at gmail.com> wrote: >> >> As I recall, several packages mask the simulate generic in stats, if you >> are looking for examples. >> > FWIW,

(Before starting: I'm a total R noob so please bear with me in case of any error or faux pas). Hi, For a small project, I'm writing a few simple R functions and calling them from python (using RPy). I'm sharing the code with a couple of friends, using a subversion server. Now, I want something like a package, to be able to share functions between ourselves. Having read a few package

? stato filtrato un testo allegato il cui set di caratteri non era indicato... Nome: non disponibile URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20130501/294047df/attachment.pl>

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@biostat.ku.dk # ###################################################### "b" <- c(-5.5, -4, -2.3, -1.5, -1, -0.5, -0.41, -0.33, -0.29, -0.26, -0.2,

Hi Cristian, I don't know about a R routine for exact CIs, but I found a function called "ageadjust" using a gamma distribution approximation some time ago -take a look at http://medepi.org/epitools/rfunctions/index.html. That Webpage seems a bit outdated now, but the calculations given in the ageadjust functions should still work, I think. Maybe this helps; regards Heinrich.