similar to: Error when using Bagplot function

Has anyone ported the Bagplot function by Rousseeuw, Ruts, and Tukey from S to R? The S function comprises a script and a FORTRAN function. I assume porting is relatively uncomplicated, but since I have not done any porting before I would not want to invest the effort if a port is readily available.

Hello, I saw a little discussion about this in the archives, but it was unclear to me whether someone had submitted a port to R of the Splus bagplot() function. If so, does anyone know where I could get it? Thanks. Best, Matt

hello all, i'm running R-2.6.1 on solaris 10 (x86). I added the package aplpack without problems, but when i try to use it, i got errors: > library(aplpack) Loading required package: tcltk Error in namespaceExport(ns, exports) : undefined exports :addTclPath, as.tclObj, is.tclObj, is.tkwin, tclfile.dir, tclfile.tail In addition: Warning message: S3 methods '$.tclvar',

When I type library() to see what is installed the following list in RED comes up. Packages in library '/home/jason/R/i686-pc-linux-gnu-library/2.13': abind Combine multi-dimensional arrays aplpack Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, and some slider functions biglm bounded memory linear and

I have two vectors x and y, which I would like to plot against each other. I am also displaying other data in this plot. However, I have about 1 million points to plot, and just plotting them x againt y is not very informative. What I'd like to do is to do sort of a continuous box plot. My x values goes from -1 to 1 and my y values from 0 to 1, so I?d like to plot the median and quantiles,

I can take the results of a simulation with one random variable and generate an empirical interval that contains 95% of the observations, e.g., x <- rnorm(10000) quantile(x,probs=c(0.025,0.975)) Is there an R function that can take the results from two random variables and generate an empirical ellipse that contains 95% of the observations, e.g., x <- rnorm(10000) y <- rnorm(10000) ?

Hello all, I'm trying to graph a scatterplot of a large (5,000 x,y coordinates) of data with the caveat that many of the data points overlap with each other (share the same x AND y coordinates). In using the usual "plot" command, > plot(education, xlab="etc", ylab="etc") it seems that the overlap of points is not shown in the graph. Namely, there are

Hola a todos, estoy jugando con las caras de Chernoff de la librería aplpack. La verdad que se consiguen efectos curiosos. Me preguntaba si me recomendáis alguna otra implementación para R de estas caras. Y si existe alguna forma de poderlas usar para más de 15 variables (si no me equivoco así es como viene implementada la función faces) Saludos Fernando [[alternative HTML version

I did a standard install of R on Fedora 13 using yum as root, which I assumed installed both the base packages and the devel packages needed to install R Commander (there weren't any optional packages listed on the yum info page). My version of R is updated to the latest 2.11 version. But, running install.packages("Rcmdr", dependencies=TRUE) as root, within R produces the following

Dear r-devel members, My Rcmdr package "depends" on several other packages (tcltk, grDevices, utils, and car) and "suggests" a number of others (abind, aplpack, colorspace, effects, foreign, grid, Hmisc, lattice, leaps, lmtest, MASS, mgcv, multcomp, nlme, nnet, relimp, rgl, and RODBC). The reason for the distinction is that I don't want all of these packages to load when

Hi, I am trying to find m breakpoints of a linear regression model. I used the segmented package. It works fine for small number of predicators and breakpoints.(3 r.v. 3 points). However, my model has 14 variables it even would not work even for just one breakpoints!. The error message is always estimated breakpoints are out of range. Since my problem is time related problem. So I

I did a standard install of R on Fedora 13 using yum as root, which I assumed installed both the base packages and the devel packages needed to install R Commander (there weren't any optional packages listed on the yum info page). My version of R is updated to the latest 2.11 version. But, running install.packages("Rcmdr", dependencies=TRUE) as root, within R produces the following

Hi all, Does anyone have an R implementation of the queplot (K.?M. Goldberg and B.?Iglewicz. Bivariate extensions of the boxplot. Technometrics, 34(3):pp. 307?320, 1992)? I'm struggling with the estimation of the asymmetry parameters. Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/

Dear List I just downloaded and installed R 2.12.0 and then installed R Commander . First it got RCmdr and Car, and then suggested for other packages for utilizing the full functionality- I clicked yes! I got 140 packages installed!!! Cran Mirror was UCLA... Here is the list. Is this intentional- I can see some packages like snow and multicore which are desirable but quite optional.(see list

Hi, I am new to bioconductor, trying to install KEGGSOAP package, but got warnings() when installing and error message when trying to load the package, can anyone suggest what went wrong? many thanks John > source("http://bioconductor.org/biocLite.R") Bioconductor version 2.11 (BiocInstaller 1.8.3), ?biocLite for help > biocLite("KEGGSOAP") BioC_mirror:

Hi, All, I am trying to use R to make the following type of boxplot while I couldn't find a way to do it. My dataset looks like X1 Y1 X2 Y2.... SPLIT. The split highlights my experiment details and both x and y are continuous numerical values. I need to plot y vs. x with split as legend and boxplot has to be used for all splits. May I ask how to get it? Currently available boxplot only

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

Hi, I would like to make a contour plot with the data below, x-axis= Day (increasing order, day number is out of 365 days of a year), y-axis= Depth (varies), and z=pH. I tried to use filled.contour function, but not sure the proper way to ordinate my z results into a matrix with different x and y length. After that, if I attempted to plot the data, the x and y values are not in ascending

"make check" is failing on reg-test3.R with a message that survival was built with an older version of R. (On my Ubuntu 32 bit and Ubuntu 64 bit machines). Why would "make check" be looking anywhere that it would find something built with an older version of R? ~/RoboAdmin/R-3.0.0/tests$ tail reg-tests-3.Rout.fail > print(1.001, digits=16) [1] 1.001 > ## 2.4.1 gave

Dear R-devel: I could use some advice about matrix calculations and steps that might make for faster computation of generalized inverses. It appears in some projects there is a bottleneck at the use of svd in calculation of generalized inverses. Here's some Rprof output I need to understand. > summaryRprof("Amelia.out") $by.self self.time self.pct