similar to: warnings --- wish/bug (PR#1148)

(I tried to send this earlier, but it doesnt seem to have come through, due to problems on my system) Hola: Both cannot be correct: > m <- matrix(1:4, 2) > svd(m) $d [1] 5.4649857 0.3659662 $u [,1] [,2] [1,] -0.5760484 -0.8174156 [2,] -0.8174156 0.5760484 $v [,1] [,2] [1,] -0.4045536 0.9145143 [2,] -0.9145143 -0.4045536 > La.svd(m) $d [1]

The following code in clusplot.default (package cluster) is in error: x1 <- cmdscale(x, k = 2, eig = TRUE) var.dec <- sum(x1$eig)/sum(diag(x1$x)) if (var.dec < 0) var.dec <- 0 if (var.dec > 1) var.dec <- 1 x1 <- x1$points x1 has components with names "points" and "eig", not "x", so

....in example data <- read.spss("c:/data.sav",use.value.label=F,to.data.frame=T) try help(read.spss) ! regards,christian kjetilh at umsanet.edu.bo schrieb am 28.08.02 02:08:39: > Hola! > > Can the foreign package now read data from spss 10? > > Kjetil Halvorsen > -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- > r-help

hi, what I want to do is assigning following code to any object. k<-paste("thank") writeLines(strwrap(k, width = 80,indent = 7,exdent = 6)) To assign the "writeLines" code, I try this a<-writeLines(strwrap(k, width = 80,indent = 7,exdent = 6)) or assign(a,writeLines(strwrap(k, width = 80,indent = 7,exdent = 6))) but it doesn't work. is there any way to solve

Hola! look at the following: > test <- function() { + options(warn=-1) + on.exit( options(warn=0)) + log(-1) + } > test() [1] NaN but what should be better, doesnt work: > test1 <- function() { + oldwarn <- options("warn") + options(warn=-1) + on.exit( options(warn=oldwarn)) + log(-1) + } > test1() Error in options(...) : warn parameter

There was a discussion on r-help of getting the output from print.packageInfo into a file. Spencer and I have added a file= argument to print.packageInfo for consideration in R. Had this been available it would have simplified the answer to that thread. If the file= argument is used then the packageInfo information is sent to the file specified rather than displayed using file.show .

Dear all, I have a question about the chisq.test command. As an option one can chose the computation of p-values by Monte-Carlo simulation (simulate.p.value=T). Is there any documentation available how this calculations are done and how this simulation based test behaves in small samples? Thanks Klaus Abberger University of Konstanz, Germany [[alternate HTML version deleted]]

(I sent this earlier, but it seems not to have come through, due to problems witkh my system) The following command from appendix A, "a sample session", isnt correct: contour(x, y, fa, nint=15) when used R protests: Warning message: parameter "nint" couldn't be set in high-level plot() function it should probably be nlevels, as used a few lines before. This is

chisq.test with simulate.p.value=TRUE uses the Patefield algorithm, this is not documented, and the original reference is not given, as it ought to be. The reference is: Patefield,W. M. (1981) An efficient method of generating r * c tables with given row and column totals (algorithm AS 159). Applied Statistics 30, 91-97. Kjetil Halvorsen

Hola! > rm(list=ls(all=TRUE)) > x <- 1:20 > y <- 1+x+rnorm(x) > xy.coords(y ~ x,NULL) ... expected output, correct, but when called from inside lowess: > lowess(y ~ x) Error in xy.coords(x, y) : x and y lengths differ > debug(xy.coords) > lowess(y ~ x) debugging in: xy.coords(x, y) ... long listing deleted if (is.language(x)) { if (inherits(x,

I am resubmitting this to r-bugs, since Thomas Lumley indicates that it might be an error: On Wed, 5 Jul 2000, Thomas Lumley wrote: > On Wed, 5 Jul 2000, halvorsen wrote: > > > Hola! > > > > I have the following simple function: > > > > > testcar > > function(pow){ > > ob <- glm(Pound~CG+Age+Vage,data=car,weights=No, > >

I reported this earlier, and have got reports that others have the same promlem on UNIX machines, so it is not only a windows problem S I file a bug report. The function (boot.stat) given at the end produces a postscript file, which cannot be included correctly in LaTeX. Specifically, the image in LaTeX (when translated by dvips to postscript) becomes very small, not using the bounding box, and

I am in the process of setting up R1.3.1 on a new computer running windows 2000. I am having problems running the PFE text editor simultaneously within R for editing functions and outside R for editing ordinary text files. The PFE editor behaves as I expected, if it is opened in R AND but no other PFE window is open outside R. Similarly, it also works fine if I am editing a text file outside

This morning I had 37 messages from the r-help list in my mailbox. I think its becoming excessive for an e-mail list. I wonder if whoever looks after this list could either move or gateway it to a usenet group? That would also eliminate the need for special purpose archiving and searching facilities since the site: http://groups.google.com would automatically provide that. That site also

wrapped <- strwrap("raw") writeLines(wrapped) q() ==8699== Conditional jump or move depends on uninitialised value(s) ==8699== at 0x40310A9: ??? ==8699== by 0xB07F4EF: ??? ==8699== by 0xB07F4EF: ??? ==8699== by 0xB07F4F2: ??? ==8699== by 0x1FFEFFA88F: ??? ==8699==

Hello, I'm using bwplot to make a few plots. The plots are exactly what I need, but are coming out with a grey background and turquoise boxes and whiskers. I cannot figure out how to just get black and white to be the default. Can anyone help me with this? Thanks Kenneth E. Nussear Phone 775 784-1703 Ecology, Evolution and FAX 775 784-1369

Dear r-devel list members, By placing a call to the new (with R 2.15.1) globalVariables() in the development version of the Rcmdr package, I've succeeded in reducing the "notes" produced by R CMD check from dozens to two. But I still get the following notes, even though '.commander.done' is in the call to globalVariables(): ------------- snip ------------ * checking R code

Hi! Does anyone know how to do the test for goodness of fit of a logistic model (in rms package) after running fit.mult.impute? I am using the rms and Hmisc packages to do a multiple imputation followed by a logistic regression model using lrm. Everything works fine until I try to run the test for goodness of fit: residuals(type=c("gof")) One needs to specify y=T and x=T in the fit. But

Dear R-experts, I have some questions about boxplots with lattice. My data is similar as in the example below, I have two factors (Goodness of Fit and Algorithms) and data values but in each panels the scales are quite different, therefore the normal boxplots produced by set.seed(1) GOF <- factor(rep(c("GOF1","GOF2","GOF3"),each=40)) Alg <-

Dear list members, Within a loop, I need to create an xyplot with only a legend, not even with the default external box drawn by lattice. I already managed to remove the axis labels and tick marks, but I couldn't find in the documentation of xyplot how to remove the external box. I would really appreciate any help with this ------------- START ----------- library(lattice) x<-1:100