similar to: plot history, libraries, weights

I am trying to restart on R after 2 months stop. Start with previously functioning procedure: "ch<-odbcConnect("dBase Files")" get "Warning message: ODBC connection failed in: odbcConnect("dBase Files") " I have tried unsuccessfully different working directories. The only change I see is that I am working with a new login account on the same machine.

A disturbing behaviour of R: an import of data using RODBC library (Windows 98, R 1.1.1) recognizes accented characters in variables names but these can't be manipulated further. See below: > library(Rodbc) > ch<-odbcConnect("Paradox Files") > pollut<-sqlFetch(ch,Pollutio) > pollut Mortalit? Densit? Pollution 1 82 600 110 2 97 960

I use hierclust (hierarchical clustering) in multiv package. In the documentation it is said that plclust (plotting a dendrogram) is available in S-plus. Can I find it anywhere (I have searched through http://lib.stat.cmu.edu/S and found only quotations of plclust in multiv) or is it only part of the S package (which I don't have)? Thanks --------------- Charles RAUX, Laboratoire

Some naive questions: 1) How to remove a column in a data frame? I expected that rm would work but this is not the case (e.g. rm(dat$yyy) gives Warning message: remove: variable dat$yyy was not found). I only found to assign NULL value (e.g.: dat$yyy<-NULL). Is it the right way? 2) Is the place formerly occupied by dat$yyy automatically gained by R for other uses? 3) If t1 and t2 are 2 only

I want to get subsets averaged on numeric variables number 5:13 but I get the error below that I cannot understand. > is.factor(dat$Statut) [1] TRUE > s<-ave(dat[,5:13],dat$Statut) Error in [<-.data.frame(*tmp*, , value = if (n) { : Argument "i" is missing, with no default Thanks in advance --------------- Charles RAUX, Laboratoire d'Economie des Transports

How can I draw a 3D perspective of a contingency table, that is showing 3D bars whose height is in proportion of the table cells? --------------- Charles RAUX, Laboratoire d'Economie des Transports CNRS-Universit? Lumi?re Lyon 2-ENTPE email : charles.raux at let.ish-lyon.cnrs.fr http://www.ish-lyon.cnrs.fr/let -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

I used in previous versions of R (R 1.1) to plot axes on projections of factorial coordinates using the function plaxes. This doesn't exist any more. Why this change ? No alternative ? --------------- Charles RAUX, Laboratoire d'Economie des Transports CNRS-Universit? Lumi?re Lyon 2-ENTPE email : charles.raux at let.ish-lyon.cnrs.fr http://www.ish-lyon.cnrs.fr/let

I have made a cut of a numeric vector and try to plot it. However only half of the x-axis annotations (the labels) appear on the plot, apparently because of the font size. I have tried cex.lab, cex.axis (what is the difference?) etc. The x labels are never printed whatever value I use from 0.0005 to 20. I can't obtain a way to make all the labels appear correctly. Between the short help

After searching in R- Introduction, FAQ, help... I don't understand this: I write a function in a file (.R): tt <- function(mc) { date() mc<-read.csv2("machines.txt",na.strings="") date() } I source it in R and I type tt(). The answer is > tt() [1] "Mon Aug 14 11:18:25 2000" > The instructions following the first "date()" are ignored. Why?

how can I import/export data from ms excel? also is there a way to import/export data of the hdf format? is there a way to import/export hdf format for ms excel as well? thank you very much in advance. /js ###################################################################### This e-mail message has been scanned and cleared by MailMarshal http://www.marshalsoftware.com

Hello, I would like to transform a contingency table (A x B) into a data frame while keeping the cross-tabulation structure (i.e. rows = levels of A, columns = levels of B). I have tried as.data.frame, xtabs, etc... and always got a "flattened" list of 3 variables (A, B, Freq). How to do that? Thanks in advance Charles Raux

Hi there, I'm trying to fit GEE models on binomial data. My problem is how to "select" a model if ever it is possible and how I decide a factor has to be drop out or not. More specifically: 1) Are QIC (Pan 2001) reliable and can be used in a model selection framework (Burhnam and Anderson 1998)? If yes, how can the QIC be estimated from available information in a gee object? 2) If

Hi there, I'm trying to fit GEE models on binomial data. My problem is how to "select" a model if ever it is possible and how I decide a factor has to be drop out or not. More specifically: 1) Are QIC (Pan 2001) reliable and can be used in a model selection framework (Burhnam and Anderson 1998)? If yes, how can the QIC be estimated from available information in a gee object? 2) If

Hi, I'm trying to build a modified version of the package RSvgDevice, without warnings. I'm having troubles with the description file. Here's the logs : * checking Rd files ... WARNING prepare_Rd: RSvgDevice.Rd:1: All text must be in a section But the RSvgDevice.Rd file seems OKto me, what am I missing ? Thanks for your help, Matthieu Decorde -- Matthieu Decorde,

Dear list, I may have found a bug in model.frame.default (called by the lm function). The problem arises in my R dev version but not in my R 2.4.0. Here is my config : > version _ platform x86_64-unknown-linux-gnu arch x86_64

------------------------------------------------------------------------------------------------------------------- 2016 IEEE TCSC Award for Excellence in Scalable Computing Call for Nominations ------------------------------------------------------------------------------------------------------------------- The IEEE TCSC Award for Excellence in Scalable Computing is awarded for significant and

------------------------------------------------------------------------------------------------------------------- 2016 IEEE TCSC Award for Excellence in Scalable Computing Call for Nominations ------------------------------------------------------------------------------------------------------------------- The IEEE TCSC Award for Excellence in Scalable Computing is awarded for significant and

Hello, the k-means {stats} help and the Hartigan&Won paper say nothing about the way random sets works (parameter nstart). I would expect to get the different results for each random initial set but I always obtain only one result: how is it selected? Charles Raux

Dear all, Does any know how to solve PDE with R? The archive list refers to the use of ODE if PDE are parabolic. I am not a mathematician and this does not mean anything for me! help would be very appreciated. Many thanks -- ___________________________________________________ Christophe NGUYEN UMR 1220 INRA-ENITAB Transfert sol-plante et cycle des ?l?ments min?raux dans les ?cosyst?mes

Hello R-ers, I'm trying to do a weighted principal components analysis. I couldn't find any such option with princomp or prcomp. Does anyone know of a package or way to do this? More specifically, the observations I'm working with are averages from populations of varying sizes. I thus need to weight the observations by sample size. Ideally I could apply these weights at the cell