similar to: pnorm, qnorm

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 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, I'm very fond of Sweave and I use it as often as possible. It'a a pity I can't use it for larger projects or can I? For instance suppose I have three files file1.rnw, file2.rnw and file3.rnw with Sweave code. Working on file2.rnw I whould like to exclude file1.rnw and file3.rnw temporarily and joining all of them later. This amounts to a mechanism similar to using

I have some data which I would like to display with dotchart. The labels are very long, so the chart becomes too small. Setting cex=0.7 seems to be a good compromise, but the gap between the text and the chart still is too large. I did not find a "gap" parameter in the description of dotchart... Thanks for any help. D. Trenkler "a" <- structure(c(103.35, 36.73, 55.09,

Dear HelpeRs, I have some data: "ice" <- structure(c(0.386, 0.374, 0.393, 0.425, 0.406, 0.344, 0.327, 0.288, 0.269, 0.256, 0.286, 0.298, 0.329, 0.318, 0.381, 0.381, 0.47, 0.443, 0.386, 0.342, 0.319, 0.307, 0.284, 0.326, 0.309, 0.359, 0.376, 0.416, 0.437, 0.548, 41, 56, 63, 68, 69, 65, 61, 47, 32, 24, 28, 26, 32, 40, 55, 63, 72, 72, 67, 60, 44, 40, 32, 27, 28, 33,

Hallo HelpeRs, I try to reconstruct some results from an econometric text book (Heij et al. (2004), pp. 218-20). For the data > x <- structure(list(q1 = c(345, 331, 320, 314, 299, 395, 415, 490, 547, 656, 628, 627), d1 = c(1, 1, 1, 1, 1, 1, 1.05, 1.05, 1.05, 1.15, 1.15, 1.15)), .Names = c("q1", "d1"), row.names = as.integer(c(NA, 12)), class =

Hallo everyone, excuse me if this is not a genuine R question but I do not know where to ask else. Referring to e.g. https://stat.ethz.ch/pipermail/r-help/2004-December/062114.html I wonder if these measurements of 3000 criminals (raw data) are available anywhere. At least I didn't find them in the R datasets package or by means of Google. What I did find was a table of frequencies of

Ladies and Gentlemen, using > A <- structure(c(1, 0, 0, 3, 2, 1, 4, 5, -3, -2, 1, 0), .Dim = as.integer(c(3,4))) I get > dim(A) [1] 3 4 > qr.R(qr(A),complete=TRUE) [,1] [,2] [,3] [,4] [1,] -1 -3.000000 -4.000000 2.0000000 [2,] 0 -2.236068 -3.130495 -0.8944272 [3,] 0 0.000000 -4.919350 -0.4472136 > qr.R(qr(A),complete=FALSE) [,1]

> -----Ursprüngliche Nachricht----- > Von: Prof Brian D Ripley > Gesendet am: Tuesday, March 07, 2000 11:30 AM > An: dtrenkler@nts6.oec.uni-osnabrueck.de > Cc: r-devel@stat.math.ethz.ch; R-bugs@biostat.ku.dk > Betreff: Re: [Rd] R-crash using cut-and-paste (PR#472) > > On Tue, 7 Mar 2000 dtrenkler@nts6.oec.uni-osnabrueck.de wrote: > > > Dear R-Team, > >

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

Dear helpeRs, the following data set comes from Johnson/Wichern: Applied Multivariate Statistical Analysis, 6th ed, pp. 304-306. /X <- structure(c(9, 6, 9, 3, 2, 7), .Dim = as.integer(c(3, 2))) Y <- structure(c(0, 2, 4, 0), .Dim = as.integer(c(2, 2))) Z <- structure(c(3, 1, 2, 8, 9, 7), .Dim = as.integer(c(3, 2)))/ I would like to compute Wilk's Lambda in R, which I know is 0.0385.

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

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 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,

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 --- ************************************************************************ *********

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

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 ***

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: