similar to: useR! 2007

R Users and Developers, Online registration for useR! 2007 is now available on the conference web site. The deadline for the early registration discount has been extended to May 15. We haven't had many contributed papers as yet, or requests for travel support from young researchers and graduate students. Please consider contributing a paper, and encouraging your students and young faculty to

R Users and Developers, Online registration for useR! 2007 is now available on the conference web site. The deadline for the early registration discount has been extended to May 15. We haven't had many contributed papers as yet, or requests for travel support from young researchers and graduate students. Please consider contributing a paper, and encouraging your students and young faculty to

R Users and Developers, The first North American useR! will be held at Iowa State University, Ames, Iowa, August 8?10, 2007. Information about the meeting can be found at http://www.user2007.org/. We are now ready to accept paper and poster submissions. Papers are encouraged in all areas, but particular emphasis is given to work describing newly created or improved R packages. Papers will

R Users and Developers, The first North American useR! will be held at Iowa State University, Ames, Iowa, August 8?10, 2007. Information about the meeting can be found at http://www.user2007.org/. We are now ready to accept paper and poster submissions. Papers are encouraged in all areas, but particular emphasis is given to work describing newly created or improved R packages. Papers will

GGally: a companion to GGplot2. GGally is a package built to produce plot matrices without the hassle of making viewports and labels yourself. GGally is built upon the GGplot2 framework. Keeping the functionality and feel of ggplot, GGally has shortened common function calls and added a few new ones. ggpairs, the main function within GGally, will take your data set and produce a plots

GGally: a companion to GGplot2. GGally is a package built to produce plot matrices without the hassle of making viewports and labels yourself. GGally is built upon the GGplot2 framework. Keeping the functionality and feel of ggplot, GGally has shortened common function calls and added a few new ones. ggpairs, the main function within GGally, will take your data set and produce a plots

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

Dear useRs, I'd like to announce a new package called geozoo, short for geometric zoo. It's a compilation of functions to produce high-dimensional geometric objects, including hypercubes and hyperspheres, Boy's surface, the hyper torus and a selection of polytopes. For a complete list, as well as images and movies, visit

Hi, I have a huge collection of 6-channel .wav files containing audio and sensor recordings, which I need to analyse, across all 6 channels. I'm thinking about what will be easier to do. 1. Just split the channels in an external audio-editor and than read each mono channel seperatly with readWave (from tuneR), or 2. inherite the readWave class and extend it to multichannel reading? What

I'm using the function htmlParse() in the XML package, and I need a little bit help on error handling while parsing an HTML page. So far I can use either the default way: # error = xmlErrorCumulator(), by default library(XML) doc = htmlParse("http://www.public.iastate.edu/~pdixon/stat500/") # the error message is: # htmlParseStartTag: invalid element name or the tryCatch()

Dear R- Community, to learn i reanalysed some data provided and analysed by Zuur et. al. in their book "Mixed effect models and Extensions in Ecology with R". When i run the last command i get a warning message i dont understand. Loyn<- read.table(file = "loyn.txt",header = TRUE) Loyn$L.AREA<- log10(Loyn$AREA) fGRAZE <-factor(Loyn$GRAZE) M0<- lm(ABUND~ L.AREA

Dear R-Users, A message to continue the discussions we had in March and June. I have read the documents written since then (http://www.r-project.org/doc/R-FDA.pdf ; http://user2007.org/program/presentations/harrell.pdf ; http://user2007.org/program/presentations/rossini.pdf ; http://user2007.org/program/presentations/soukup.pdf) which are very interesting and useful. I work in a CRO and we

> From: delphine.fontaine at genexion.com > To: r-help at stat.math.ethz.ch > Date: Sat, 3 Nov 2007 09:03:39 +0100 (CET) > Subject: [R] R validation > Dear R-Users, > > A message to continue the discussions we had in March and June. I have > read the documents written since then > (http://www.r-project.org/doc/R-FDA.pdf ; >

Hi everyone, Many of the presentations and posters from UseR! 2007 are now available online: http://user2007.org/program/ If you presented and your slides or poster isn't up yet, please email a pdf version to me, h.wickham at gmail.com, and I'll put it up. Regards, Hadley (And check out http://user2007.org/ for some photos of the event and the R cake) -- http://had.co.nz/

Hi, The following function does work optimize.W<-function(W,k,G,Groups,cph.call,z){ n<-length(Groups) grp.wt<-rep(0,n) for(i in 1:(length(G))){ ind<-Groups == G[i] if(G[i]!=k){ grp.wt[ind]<-W[i] } elsegrp.wt[ind]<-1 } z<-data.frame(cbind(z,grp.wt=grp.wt)) #needed to make the case weights #part of the data

Hello! I tried to install samba 4 as described in the samba AD DC HOWTO. Here my configuration: ubuntu 12.04 server 64 bit server /etc/network/interfaces: # The loopback network interface auto lo iface lo inet loopback # The primary network interface auto eth0 iface eth0 inet static address 192.168.1.19 netmask 255.255.252.0 up route add default gw 192.168.1.4 dns-search hofmann-intern.de

Hi, I am having trouble with the survival library, particualrily the coxph function. the following works coxph(jtree9$cph.call,z,rep(1,dim(z)[1])) Call: coxph(formula = jtree9$cph.call, data = z, weights = rep(1, dim(z)[1])) coef exp(coef) se(coef) z p SM 0.2574 1.294 0.0786 3.274 1.1e-03 Sex -0.1283 0.880 0.1809 -0.709

We're pleased to announce a one day course covering static and dynamic graphics using R, ggplot and GGobi. The course will be held just before the JSM, on Saturday, 28 July 2007, in Salt Lake City. The course will be presented by Dianne Cook and Hadley Wickham. In the course you will learn: * How to build presentation quality static graphics using the R package, ggplot. We will cover plot

Hi, I want using zero-inflated negative binomial regression model to classify data(a vector of data), that is I want know each observed value is more likely belong to the "zero" or "count" distribution(better with relative probability). My data is some like: count site samp 12909 1 1 602 1 2 50 1 3 1218 1 4 91291 1 5