similar to: Strange behavior when trying to piggyback off of "fitdistr"

Dear R-users I've got the next problem: I've got this *function*: fitcond=function(x,densfun,pcorte,start,...){ myfn <- function(parm,x,pcorte,...) -sum(log(dens(parm,x,pcorte,...))) Call <- match.call(expand.dots = TRUE) if (missing(start)) start <- NULL dots <- names(list(...)) dots <- dots[!is.element(dots, c("upper",

Hello, It appears that the FreeBSD port of Samba 3.0.x may be falling behind. The port maintainter does not use Winbind and thus has not kept up with the development of it. 3.0.1 will very shortly be ported to FreeBSD, currently it is still at 3.0.0. I know there have been some recent changes to Samba that help FreeBSD out, and I wanted to make sure that the port of Samba 3.0.x on FreeBSD stays

Good afternoon, I ran heatmap and hclust on the same matrix x (strictly, I ran heatmap(x), and hclust(dist(t(x))), and realized that the two dendrograms were slightly different, in that the left-right arrangement of one pair of subclusters (columns) was reversed in the two functions (but all individual columns were grouped correctly). Looking through the code for heatmap as a most definite

Dear useRs, upon request, the VGAM package (currently version 0.7-1) has been officially released on CRAN (the package has been at my website http://www.stat.auckland.ac.nz/~yee/VGAM for a number of years now). VGAM implements a general framework for several classes of regression models using iteratively reweighted least squares (IRLS). The key ideas are Fisher scoring, generalized linear and

Hi, I already mentioned this on #vorbis, but thought it good to create a mailthread on it for easier tracking. One of the OpenBSD developers (claudio at openbsd.org) found that ogg123 crashes on his machine with a SIGSEGV while playing tracks with unknown comments in the tags. He's running with special malloc flags that make the OpenBSD malloc(3) extra picky (manpage available online at

H ello R-experts, I want to do ordination plots using vegan metaMDS. I have a where many cells have zero values. Data structure: X[1:10,1:14] Height.1 Height.2 Height.3 Height.4 Height.5 Height.6 Height.7 Height.8 Height.9 Height.10 Height.11 Height.12 Height.13 D30I1A 46 0 0 0 0 0 0 0 0 0 39 0 98 D30I1B

I would like you consider that the function ecdf could be extended in the following way to handle weights when computing Empirical distribution Functions. There exist particular cases that supports this kind of extension, see for example: Rao, C. R., 1997. Statistic and True. Putting chance to work. World Scientific Publishing. Cox, D. R., 1969. Some Sampling Problems in Technology. New

Dear R wizards, Hopeful someone can help me with what I believe is a pretty simple task. I pretty new to R so some (much) of the obvious escapes me. How do I get a distance matrix into heatmap? What do I tell distfun if what I'm trying to map is already an ordered distance matrix? I tried >heatmap(x, distfun=as.dist(x)) where x is the distance matrix but R gave me an error. Thanks in

Hello, I have come across some unexpected behaviour of the function heatmap in the stats package. This looks like a bug to me, but I might have misunderstood something. When calling the function in symmetric mode, the ColSideColors are plotted correctly, but RowSideColors appear in reverse order. This code (modified from the example on the help page) demonstrates the problem: cU <-

On Wed, May 31, 2006 at 05:52:33PM +0200, steven mestdagh wrote: > please make it install the docs under share/doc/libtheora. Thank you. Updated patch below. A copy of this email goes to the list of theora. The following patch for the port of libtheora-alpha6 for OpenBSD includes (among other things): * a patch for examples/Makefile.in that doesn't link player_example since it

While developing a custom distro based on CentOS we experienced a "strange" problem: the cd didn't boot on some machines where it previously did. We build the cd using this command: bootimg='isolinux/isolinux.bin' bootcat='isolinux/boot.cat' #mkisopts='-r -N -L -d -D -J' mkisopts='-r -J' mkisofs $mkisopts \ -V "$distname

Hi, I''m using heatmap.2 to cluster my data, using the centroid method for clustering and the maximum method for calculating the distance matrix: library("gplots") library("RColorBrewer") test <- matrix(c(0.96, 0.07, 0.97, 0.98, 0.50, 0.28, 0.29, 0.77, 0.08, 0.96, 0.51, 0.51, 0.14, 0.19, 0.41, 0.51), ncol=4, byrow=TRUE)

heatmap.2 defaults to dist for calculating the distance matrix and hclust for clustering. Does anyone now how I can set dist to use the euclidean method and hclust to use the centroid method? I provided a compilable sample code bellow. I tried: distfun = dist(method = "euclidean"), but that doesn't work. Any ideas? library("gplots") library("RColorBrewer") test

UseRs, actuar is a package for Actuarial Science. A rather preliminary version (0.1-3) of the package has been available on CRAN since February 2006. We now announce the immediate availability of version 0.9-2 sporting a large number of new features. Non actuaries behold! There can be some features of interest for you, especially those related to new probability distribution and to the

UseRs, actuar is a package for Actuarial Science. A rather preliminary version (0.1-3) of the package has been available on CRAN since February 2006. We now announce the immediate availability of version 0.9-2 sporting a large number of new features. Non actuaries behold! There can be some features of interest for you, especially those related to new probability distribution and to the

Hi, I'm a second year Master's student in Applied Statistics. I am doing a project using average weekly U.S. regular gasoline prices (in cents, per gallon) from an Excel file (from the years 1990- May 2010). I want to find the probability that the average weekly U.S. regular gasoline prices (in the long term) goes over 400 cents a gallon (or $4.00 a gallon). I am using the

Hi, I am having troubles with heatmap(). I have a matrix containing pairwise distance values and I want to plot this matrix with heatmap. I wonder now what distfun is for. Is a distance matrix computed from my initial matrix again and then plotted? cheers, andreas

Hi netters, I have a matrix X of the size (1000,100). The values are from -3 to +3. When I tried heatmap(X, distfun=function(c),dist(c,method="bin"),hclustfun=function(m),hclust(m,method="average")) I got the error message: Error: evaluation nested too deeply: infinite recursion / options(expressions=)? However, if I used default parameters for distfunction:

Hi, Could you please help? Heatmap doesn't work with: > heatmap(as.matrix(SPIV2),na.rm = T) Error in hclustfun(distfun(x)) : NA/NaN/Inf in foreign function call (arg 11) There are no 0 data rows or column Thanks a lot Regards --------------------------------------- David

Hi, I run into following error when using heatmap() for data matrix "xx". Any help is appreciated? "xx" contains many "NA"s. > hv <- heatmap(data.matrix(xx)) Error in hclustfun(distfun(if (symm) x else t(x))) : NA/NaN/Inf in foreign function call (arg 11) Thanks a lot. Yuhong