similar to: Bug in boxplot.stats?

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 >

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 suspect that there is bug in sub when using "?": > string_"This is a bug!" > sub("!", ", or isn't it?", string) [1] "This is a bug, or isn't it?" > string_"This is a bug?" > sub("?", ", or isn't it?", string) [1] "This is a bug?" Regards, *** D.Trenkler ***

Niels Waller wrote: > Does anyone know of an R (or S-PLUS) function for delineating all possible > combinations and permutations? The following function delivers all permutations of 1:n. all.perm <- function(n) { p <- matrix(1, ncol = 1) for (i in 2:n) { p <- pp <- cbind(p, i) v <- c(1:i, 1:(i - 1)) for (j in 2:i) { v <- v[-1]

I think I've discovered what went wrong. My workspace included a function wilcox.test formerly copied from ctest. Now ctest ist part of the distribution and because of that I always got the message: [Previously saved workspace restored] Error in autoload("wilcox.test", "ctest") : Object already exists I didn't take care of this message. Now I removed

n_10;p_0.5;jjx_0:n;qbinom(pbinom(jjx,n,p),n,p) # This one works as expected n_100;p_0.5;jjx_0:n;qbinom(pbinom(jjx,n,p),n,p) # This one causes severe problems I cannot interrupt using ESC and I finally have to resort to the Windows Task manager to kill the R session. A friend of mine told me that he faced similar problems under Unix. --please do not edit the information below-- Version:

# 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,

Dear R-Team, sorry for bugging (:-)), it's me again. In the FAQ coming along with the R distribution it reads: If R executes an illegal instruction, or dies with an operating system error message that indicates a problem in the program (as opposed to something like "disk full"), then it is certainly a bug. This encourages me to describe a crash I encountered a few minutes ago. I

# 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 # ###################################################### Under R version 0.6.51 the following A_c(13,9,15,5,25,15,3,9,6,12) B_c(42,24,41,19,27)

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 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 have two lists of equal lengths. Each one consists of vectors. Is there an elegant way to combine them elementwise? Elegant means: without loops. For instance, for > jja_list(1:3,4:7) > jjb_list(rep(0,4),(2,5)) I would like to get: > list(c(1:3,rep(0,4)),c(4:7,rep(2,5))). --- D.Trenkler --- ************************************************************************ *********

Excuse me if this question has been answered before. I just came across "Writing R documentation" in the "Writing R extensions" manual. Under section 2.9: "Processing Rd format" I only find hints at generating the Rd format on a Unix platform. Have I overlooked how to generate them under Windows? Any help is gratefully appreciated. --- D.Trenkler ---

I'm an old APL fossil and I got used to work with nested arrays there. In APL(2) you can write 1+(1 2 3)(4 5 6 7 8 9) and get (2 3 4)(5 6 7 8 9 10). A similar concept is R's lists. So it takes me by surprise to learn that 1+list(1:3,4:9) delivers an Error in 1 + list(1:3, 4:9) : non-numeric argument to binary operator Is there any particular reason why this doesn't work

For some small sample sizes I would like to exemplify the combinatorics underlying certain nonparametric tests like Mann-Whitney-Wilcoxon, Kruskal-Wallis and Spearman's rank correlation. I have written a function all.perm which delivers all permutations of 1,2,...,n and which works reasonably well. This can be used to generate P(R=r) of Spearman's rank correlation:

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))

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

Dear HelpeRs, I wonder if anyone knows of ways to read EViews file types. I did not find a function in the package 'foreign' and a search query submitted to http://search.r-project.org was not successful. Any hint is very much welcome. Dietrich Trenkler -- Dietrich Trenkler c/o Universitaet Osnabrueck Rolandstr. 8; D-49069 Osnabrueck, Germany email: Dietrich.Trenkler at

Dear helpeRs, a colleague of mine would like to give R a try. He uses econometric models which typically involve a large number of variables, esp. time series. Having no experience with handling very large data sets myself I turn to you. 1. Could you please describe your experiences to cope with these situations? 2. What kind of difficulties will he have to face? Are there special