similar to: Copyrights for R contributed libraries

Sorry to bring up this old topic again but ... The 2.0 release of Debian Linux is about to happen and the release team requires copyright statements on any code included in the release. Presently there are 4 packages that I have created from R source code and libraries and contributed to the release. I think this will help with the visibility of R when there is a well-regarded release of an

Christian Hoffmann <hoffmann@wsl.ch> writes: > I just installed the SuSE distribution of Linux (from Fuerth, Germany). I > would be very interested in learning of a SuSE compatible form of R. > Installing Linux was expressly made to be able to use R :-) > > SuSE (suse@suse.de, http://www.suse.de) is a distribution which is quickly > gaining users for Linux because of

Dear R-users, Recently, I am facing some problems when converting mlbench data into matrix format. library(mlbench) data(BostonHousing) X<- BostonHousing[,1:13] y<-BostonHousing[,14] I want to convert X and y into matrix form. I am getting these obvious errors... > t(X)%*%y Error in t(X) %*% y : requires numeric/complex matrix/vector arguments > t(as.matrix(X))%*%(as.matrix(y))

Dear developers, I'd appreciate if you could forward this to the appropriate people doing the non-OpenBSD ports of OpenSSH. Thanks. ------- Begin Forwarded Message ------- Subject: OpenSSH on Ultrix? From: Georg Schwarz <georg.schwarz at iname.com> Newsgroups: comp.unix.ultrix comp.security.unix Date: Sat, 24 Feb 2001 23:06:02 +0100 Has anybody managed

I just downloaded the windows version R version 2.4.0 alpha (2006-09-05 r39134) 1. When I downloaded the packages, the following two were not found. > utils:::menuInstallPkgs() --- Please select a CRAN mirror for use in this session --- dependency ''fCalendar'' is not available dependency ''SparseM'' is not available I am not sure which other packages

Dear All, I'm getting a error while trying to apply the BreastCancer dataset (package=mlbench) to kknn (package=kknn) that I don't understand as I'm new to R. The codes are as follow: rm = (list = ls()) library(mlbench) data(BreastCancer) library(kknn) BCancer = na.omit(BreastCancer) d = dim(BCancer)[1] i1 = seq(1, d, 2) i2 = seq(2, d, 2) t1 = BCancer[i1, ] t2 =

Hi. I'm trying to plot a pair of intertwined spirals and an svm that separates them. I'm having some trouble. Here's what I tried. > library(mlbench) > library(e1071) Loading required package: class > raw <- mlbench.spirals(200,2) > spiral <- data.frame(class=as.factor(raw$classes), x=raw$x[,1], y=raw$x[,2]) > m <- svm(class~., data=spiral) > plot(m,

R-help, I am trying to perform a basic anlaysis of the BreastCancer data from "mlbench" using the svm() function in "e1071". I use the following code library("e1071") library("mlbench") data(BreastCancer) BC <- subset(BreastCancer, select=-Id) pairs(BC) model <- svm(Class ~ ., data=BC, cross=10) ## plot(model, BC, ) tobj <- tune.svm(Class ~ .,

Hi all, I found Dag Wieers' Fedora Core 2 rpm on http://dag.wieers.com/packages/dovecot/ and installed it. Now dovecot-auth isn't complaining anymore about an unknown userdb type but I can't get authentication working. /etc/dovecot.conf (...) # Authentication process name. auth = default # plain digest-md5 anonymous auth_mechanisms = plain auth_userdb = pgsql

Hey guys, I can't get my Naive Bayes model to predict. Forgive me if its simple... I've tried about everything and can't get it to work. Reproduceable code below. Thank you, Mike -- Michael Schumacher Manager Data & Analytics - ValueClick mike.schumacher@gmail.com * Functional Example Code from UCLA:

Hi list I'm looking for statisitic measurements describing the pattern of points within a given polygon. Is there a function calculating the Index of Dispersion and/or are there other functions summarising an observed pattern? Markus Schwarz ..................................................................... Markus Schwarz Wissenschaftliche Mitarbeiterin Eidg. Forschungsanstalt WSL

Hello, I am trying to install R packages under linux, some of the packages can not be installed and I got the following error, could anybody give me suggestion on where the problem is and how to fix it? Thanks-e > .libPaths() [1] "/usr/lib64/R/library" [2] "/usr/share/R/library" [3]

Hello R Group, Below is the code I submit: library("BMA") X <- read.table("C:/Documents and Settings/Administrator/Desktop/coding.txt",header=TRUE) Y <- read.table("C:/Documents and Settings/Administrator/Desktop/1DCS.txt",header=TRUE) IGout<- iBMA.glm(X, Y, glm.family= gaussian(), verbose = TRUE, thresProbne0 = 5 ) summary(IGout) IGout I

Hi. I'm trying to plot a pair of intertwined spirals and an svm that separates them. I'm having some trouble. Here's what I tried. > library(mlbench) > library(e1071) Loading required package: class > raw <- mlbench.spirals(200,2) > spiral <- data.frame(class=as.factor(raw$classes), x=raw$x[,1], y=raw$x[,2]) > m <- svm(class~., data=spiral) > plot(m,

Greetings, I am using rpart for classification with "class" method. The test data is the Indian diabetes data from package mlbench. I fitted a classification tree firstly using the original data, and then exchanged the order of Body mass and Plasma glucose which are the strongest/important variables in the growing phase. The second tree is a little different from the first one. The

Dear list, I calculated the kappa-accuracy for two differnt classifications. How can I test now the two kappa-value for significance? thanks, Mark ..................................................................... Markus Schwarz Wissenschaftliche Mitarbeiterin Eidg. Forschungsanstalt WSL Forschungsprogramm Musterland Z??rcherstrasse 111 CH-8903 Birmensdorf Telefon +41-44-739 22 87 Fax

Hello, how is, for example, the Schwarz criterion is defined for kmeans? It should be something like: k <- 2 vars <- 4 nobs <- 100 dat <- rbind(matrix(rnorm(nobs, sd = 0.3), ncol = vars), matrix(rnorm(nobs, mean = 1, sd = 0.3), ncol = vars)) colnames(dat) <- paste("var",1:4) (cl <- kmeans(dat, k)) schwarz <- sum(cl$withinss)+ vars*k*log(nobs) Thanks

It''s been fifty days since our last confession, so it''s no wonder that this outpouring is by far the biggest yet in Rails history. It''s absolutely packed with goodies ranging from a whole new framework for sending email to the smallest new alias for an existing method. In total we''re just shy of 100 additions, changes, tweaks, and fixes. This is also

I'm using an SVM as I've seen a paper that reported extremely good results. I'm not having such luck. I'm also interested in ideas for other approaches to the problem that can also be applied to general problems (no assuming that we're looking for spirals). Here is my code: library(mlbench) library(e1071) raw <- mlbench.spirals(194, 2) spiral <-

Hello, I have two classifications. How can I compare the overall-accuracy of these classifications to each other? Is there a possibility within R to test if the achieved overall-accuracy for the classifications are differing significantly? Additionaly, are the McNemar-Test and Broker-Test implented in a package of R? Thank in advance for your help, Markus