similar to: connection to X11 problem: problem fixed

Dear List, I am a new Mac user and I am having problem generating png (or jpeg) using the GUI version of R. I installed R-2.3.1.dmg (custom install with everything selected) and X11User.pkg but I am still getting the following X11 connection error when I try to generate a png (or a jpeg): Error in X11(paste("png::", filename, sep = ""), width, height, pointsize, :

> -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of > Ted.Harding at nessie.mcc.ac.uk > Sent: Sunday, December 05, 2004 7:14 PM > To: r-help at stat.math.ethz.ch > Subject: Re: [R] What is the most useful way to detect > nonlinearity in lo > > > On 05-Dec-04 Peter Dalgaard wrote:

To estimate the covariance matrix of e you could use the sample covariance matrix of the residuals. If desired, use its cholesky decomposition to transform to make the error approximately uncorrelated, then refit (and back-transform the coefficient matrix). Stacking the columns of Y and replicating X won't do what you write; it forces each univariate regression to have the same coefficients.

I needed to install rmagick/GraphicsMagick on an IntelMac and did so from Darwinports. Some things work and others don''t work, like rendering fonts which needs X11 fonts and X server. The rmagick page at rubyforge points to .. http://developer.apple.com/opensource/tools/runningx11.html where X11 link to Apple is broken. X11User.pkg talked about on the page above no longer exists at

Hi Sorry, my first post was in German. I tried to get Rcmdr running under MacOS X 10.4.5. While RGui pretends that tcltk is running, starting Rcmdr freezes R completely. Instead, JGR which gave me the following results: > library(tcltk) Loading Tcl/Tk interface ... Error in fun(...) : no display name and no $DISPLAY environment variable Error: .onLoad failed in 'loadNamespace' for

How about: nis.na <- complete.cases --- From: <Ted.Harding at nessie.mcc.ac.uk> Hi Folks, My recent response to Laura Quinn's query about matrix subsetting reminded of a question. I wrote: iDir <- ((Winds[,20]<45)|(Winds[,20]>315))&(!is.na(Winds[,20])) Now, I find "!is.na" a bit awkward to type, so I might prefer to type it as "nis.na".

Hi, Splus allows pasting a graphics object into the plotting window, which makes it possible to do what you describe below. Now I use R which doesn't seem to allow pasting the picture into the graphics window, so I copy the graph onto a transparency sheet, and stick it onto my screen using tape. The coordinates need to be converted to make sense (as you describe). My methodology with the

Hello, R experts, If I understand Ted's anwser correctly, then I can not contrast the mean yields between sections 1-8 and 9-11 under "Trt" but I can contrast mean yields for sections 1-3 and 6-11 because there exists significant interaction between two factors (Trt:section4, Trt:section5). Could I use the commands below to test the difference between sections 1-3 and 6-11 ?

Hi, this is rather a (presumed) bug report than a question because I can solve my personal statistical problem by working with hclust instead of agnes. I have done a complete linkage clustering on a dist object dm with 30 objects with agnes (R 1.8.0 on RedHat) and I want to obtain the partition that results from a cut at height=0.4. I run > cl1a <- agnes(dm, method="complete")

Hi, this is rather a (presumed) bug report than a question because I can solve my personal statistical problem by working with hclust instead of agnes. I have done a complete linkage clustering on a dist object dm with 30 objects with agnes (R 1.8.0 on RedHat) and I want to obtain the partition that results from a cut at height=0.4. I run > cl1a <- agnes(dm, method="complete")

Hi Folks, I am interested in extending the repertoire of link functions in glm(Y~X, family=binomial(link=...)) to include a "tan" link: eta = (4/pi)*tan(mu) i.e. this link bears the same relation to the Cauchy distribution as the probit link bears to the Gaussian. I'm interested in sage advice about this from people who know their way aroung glm. >From the surface, it looks

Hi Folks, I'm currently installing R-1.7.1 off CRAN. As it happens, I have a CD (kindly made for me by Linux Emporium) containing all the libraries which were on CRAN early this year when I installed R-1.6.1. This is highly convenient, since the alternative would be several hours on-line. While a recent library will on installation announce the fact should it need a newer version of R than

Hi Folks, Given k RVs with MVN distribution N(mu,S) (S a kxk covariance matrix), let (w.l.o.g.) X1 denote the first r of them, and X2 the last (k-r). Likewise, let mu1 and mu2 denote their respective expectations. Then, of course, the expectation of X2 given X1=x1 is mu2 + S21*inv(S22)*(x1 - mu1) and the covariance matrix of X2 given X1=x2 is S22 - S21*inv(X11)*S12 where Sij is the

I'd like to find the dataset files cloud.data, janka.data, house.data ... used in Appendix C of "Notes on R" by Bill Venables and Dave Smith. Can someone give me a pointer to a download site, please? With thanks, Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk> Date: 17-Jun-98

Hi Folks, I'm analysing some data which, in its simplest aspect, has 3 factors A, B, C each at 2 levels. If I do lm1 <- lm(y ~ A*B) say, and then summary(lm1, corr=T) I get the correlation matrix of the estimated coeffcients with numerical values for the correlations (3 coeffs in this case). Likewise with 'glm' instead of 'lm'. However, if I do lm2 <- lm(y ~

Hi Folks, Fernando Tussell and I have been working on an R package of Shafer's CAT software for S-plus, for multiple imputation of categorical data. A very first version of this ("0.0-1") now seems to work, in that blatant bugs and segfaults seem to have been worked around. It now needs some testing in the wild, so if anyone would like to have a copy of cat_0.0-1.tar.gz to try out

Hi, There has been a continuous stream of development updates since R-2.0.1 and I'm wondering if it is anticipated that these will crystallise soon into R-2.0.2? Or is it likely that we must wait rather longer? With thanks, Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <Ted.Harding@nessie.mcc.ac.uk> Fax-to-email: +44 (0)870 094 0861

On 12-Feb-06 benphalan at gmail.com wrote: > Full_Name: Ben Phalan > Version: 2.2.1 > OS: Win XP > Submission from: (NULL) (131.111.111.231) > > > I have noticed that floor returns the wrong number when there are more > than 15 > decimal places: > >> floor(6.999999999999999) > [1] 6 >> floor(6.9999999999999999) > [1] 7 > > There is a

Hi Folks, I want to do multivariate regression in R, i.e. basically (but with a complication -- see below): given an Nxp matrix Y of p-variate responses, and an Nxk matrix X of covariates, to fit the model Y = X*B + e with estimation of the kxp matrix of coefficients B and estimation of the pxp matrix of covariances between the p variates in Y. I haven't managed to find a

Something I don't understand ... (!) With the lattice library loaded, I have a loop for( Z in ... ) { ... xyplot(y~x | t, xlab=..., ylab=... ) } and no plot appears on the R graphics device. However, when I run the commands within {...} separately for each instance of Z, I get the plot displayed each time. So it looks as though "xyplot" is not outputting to the graphics