similar to: handling of dimension-attribute in density (PR#406)

--=====================_24736660==_ Content-Type: text/plain; charset="iso-8859-1"; format=flowed Content-Transfer-Encoding: quoted-printable SVD-Error on R 1.1.0 Windows 98 I get the following error applying svd on a positive definite matrix : > sk2 [,1] [,2] [,3] [,4] [,5] [1,] 1.0460139783 0.084356992 -2.810553e-04

Full_Name: Jörg Polzehl Version: 1.8.0 OS: Windows XP Submission from: (NULL) (62.141.176.1) I encountered a problem when playing with the mle library and specifying negative starting values for the parameters. The reason seems to be an incorrect behaviour of function formals: glike<-function(a=1,b=1,c=1) a > formals(glike) $a [1] 1 $b [1] 1 $c [1] 1 > unlist(formals(glike)) a b c

Full_Name: Jörg Polzehl Version: 1.5.1 OS: Windows 2000 Submission from: (NULL) (193.175.148.198) When calculating MLE's in a variance component model using constrained optimization, i.e. optim(...,method="L-BFGS-B",...) I observed an inproper behaviour in cases where the likelihood function was evalueted at the constraint. Parameters and value of the function at the constraint

Dear Colleagues, I've recently upgraded to SUSE-LINUX 9.0 and R 1.8.1 (using the RPM-'s from CRAN). I've checked that all required LINUX-Packages as listet in the README.html in /bin/linux/SUSE are installed. I've then tried to INSTALL and check a package. Installation with R CMD INSTALL -l Rcontrib aws * Installing *source* package 'aws' ... ** libs make:

Full_Name: Joerg Polzehl Version: 2.3.1 OS: x86_64, linux-gnu Submission from: (NULL) (62.141.176.22) I observed an incorrect behavior of function deriv when evaluating arguments of dnorm deriv(~dnorm(z,0,s),"z") expression({ .value <- dnorm(z, 0, s) .grad <- array(0, c(length(.value), 1), list(NULL, c("z"))) .grad[, "z"] <- -(z * dnorm(z))

CRAN (and crantastic) updates this week New packages ------------ * bisectr (0.0.2) Maintainer: Winston Chang Author(s): Winston Chang <winston at stdout.org> License: GPL-2 http://crantastic.org/packages/bisectr Tools to find bad commits with git bisect * CUMP (1.0) Maintainer: Xuan Liu Author(s): Xuan Liu <liuxuan at bu.edu> and Qiong Yang <qyang at bu.edu>

http://bugzilla.mindrot.org/show_bug.cgi?id=429 mouring at eviladmin.org changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEW |RESOLVED Resolution| |DUPLICATE Summary|SSH 3.4p1 problems on Tru64 |SSH 3.4p1 problems

http://bugzilla.mindrot.org/show_bug.cgi?id=429 Summary: SSH 3.4p1 problems on Tru64 V4.0D & Tru64 V4.0F Product: Portable OpenSSH Version: 3.4p1 Platform: Alpha OS/Version: OSF/1 Status: NEW Severity: major Priority: P2 Component: ssh AssignedTo: openssh-unix-dev at mindrot.org

I am trying to compile sshd 3.8p1 on Tru64 UNIX V4.0F Patch Level 7. Previously I've compiled the entire 3.6.1p2 distribution with no problems. The problem seems to occur when linking sshd. The linker is unable to find xcrypt and shadow_pw functions (openbsd-compat/*.c). The libopenbsd-compat seems to have built without errors. I configure as follows: CC=cc CFLAGS=-O LDFLAGS=-non_shared

Hi all, I've noticed that many computational neuroscience research groups use MATLAB. While it's possible that MATLAB may have some features unavailable in R, I suspect that this may instead simply be a case of costly tradition, where researchers were taught MATLAB as students and pay for it as researchers because it's all they know. I'd like to attempt to break the cycle by

Hello, I am a newbie to R and the subject of density estimation in two dimensions or more. I would like to have some advice concerning a comparison between the R packages for density estimation in bivariate or higher order problems; I mean explicitly the packages: 1) ash 2) KernSmooth 3) locfit 4) sm. My specific problem now is having a set of numerical pairs (x_i, y_i), arising from a

Dear R users, I am a new R user and have some difficulty understanding the functioning of “outer”, where my question is from. I have read the posts related to the questions on the outer function, but unfortunately could not figure out where my mistake is. I have a function with two variables and three parameters (a density function that is not standard) and I want to draw the contourplot along

Dear R-Helpers, I have a short question related to heatmap.2 function. I wanted to change the dimension of each cell in the heatmap drawn by this function. here is a reproducible example from the help page library(gplots) data(mtcars) x <- as.matrix(mtcars) rc <- rainbow(nrow(x), start=0, end=.3) cc <- rainbow(ncol(x), start=0, end=.3) hv <- heatmap.2(x, col=cm.colors(255),

Is this a known problem? Niels. ----- Forwarded message from Judah Levine <jlevine at utcnist.colorado.edu> ----- Date: Fri, 5 Jul 2002 08:58:46 -0600 (MDT) From: Judah Levine <jlevine at utcnist.colorado.edu> To: provos at citi.umich.edu Subject: Privilege separation Hello, I have just installed openssh-3.4p1 on a COMPAQ/DEC/HP Alpha running True64 UNIX v4.0F. The privilege

Dear R users: I have a dataset with two variables (>20000 observations, two samples from same subject) and I used "kernSur" from library(Genkern) to get a estimated bivariate density and corresponding plots as follows: new.data.normal<-data.normal[!is.na(data.normal[,2]),] x<-new.data.normal[,2] y<-new.data.normal[,3] op <- KernSur(x,y, xgridsize=50, ygridsize=50,

Dear everyone, I'm coding the Horowitz-Spokoiny (2001) test [1], and I would be very grateful or some advice regarding the Kernel density (apologies beforehand if my terminology is not fully correct). I have looked into ksmooth and npreg, but with no success. Given a (n x p) matrix of covariates X, I need to construct the following matrix of Kernel densities or weights: w(x_i, x_j) =

r-devel list, I have recently written an R package that solves a linear least squares problem, and computes the multivariate normal density function. The bulk of the code is written in C, with interfacing code to the BLAS and Lapack libraries. The motivation here is speed. I ran into a problem computing the determinant of a symmetric matrix in packed storage. Apparently, there are no explicit

Dear list-members I am new to R and a statistics beginner. I really like the ease with which I can extract and manipulate data in R, and would like to use it primarily. I've been learning by checking analyses that have already been run in SAS. In an experiment with Y being a response variable, and group a 2-level between-subject factor, and time a 5-level within-subject factor. 2

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or

Hi, I like mosaic function of "vcd" package. I have played around it. I have found out that mosaic plot data table is 2-dimension does not stretch when you enlarge a mosaic plot. It is okay when data table is 3 or more dimension. The first one is of 3-dimension table case, and the second one is 2-dimension. With the first plot, you can drag window to enlarge a plot. With the