similar to: Efficient way to compute power of a sparse matrix

Hi all, I've been trying to figure out how to superimpose a histogram on a biplot that shows the relative contribution of each axis. I have been using the NIPALS function (http://biomserv.univ-lyon1.fr/~dray/ files/softwares/nipals.R) to run principal component analyses. Here is a toy example. source("http://biomserv.univ-lyon1.fr/~dray/files/softwares/nipals.R")

Hello list, I have a problem ... and do not know how to solve it. I would like create a function that estimate the quality of the fit of different functions with different values of parameters. This problem is related to the following one: I would like to create a function "evaluatemyfunction" which evaluate a function f for different values of parameters. For instance, if

Hi All, I am trying to build a new R package to submit, but it's failing to create a tex manual: R CMD check Biodem * checking for working latex ... OK * using log directory '/home/greatsage/Fede/R-packages/temp/Biodem.Rcheck' * checking for file 'Biodem/DESCRIPTION' ... OK * checking if this is a source package ... OK * Installing *source* package 'Biodem' ... ** R

Hello, i' m looking for a function to compute geary statistic for spatial correlation. Thanks. -- St?phane DRAY --------------------------------------------------------------- Biom?trie et Biologie ?volutive - Equipe "?cologie Statistique" Universite Lyon 1 - Bat 711 - 69622 Villeurbanne CEDEX - France Tel : 04 72 43 27 56 Fax : 04 78 89 27 19 04 72 43 27 57 E-mail

Hello, I am trying to play with RODBC library and Excel Files. In my file (doubs.xls) there are 2 spreadsheets: > library(RODBC) > connection<-odbcConnect("Excel Files") > sqlTables(connection) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 F:\\Th?se\\R\\Doubs NA Faune$ SYSTEM TABLE NA 2 F:\\Th?se\\R\\Doubs NA Milieu$

Hello list, I have found a problem (bug?) with Sweave. I hope that someone could help me. Try this little example : \documentclass[a4paper]{article} \title{toto} \author{toto} \begin{document} \maketitle <<ni1, fig=T, eval=TRUE, echo=TRUE, debug=TRUE, results=verbatim, include =FALSE, width=7, height=7>>= a<-rnorm(1)+1 a plot(1:10) @ patati <<ni2, fig=F, eval=TRUE,

Dear all, I am trying to compile Ralpha on my computer (OS = Debian). SVN Revision is: Revision: 42843 Last Changed Date: 2007-09-14 ./configure returns : ---------------------------------------------------- stephane at pcdray:~/Rdev/R-alpha$ ./configure checking build system type... i686-pc-linux-gnulibc1 checking host system type... i686-pc-linux-gnulibc1 loading site script

Hello, I have search on R website but do not find any solution. I would like to know if R has some functionalities to produce analytical results of equation. or more generally if it contains some functions to simplify equation. For example: I would like to obtain x1 from: x1+x2=8 (x1=8-x2) x1^2+x2=8 (x1=sqrt(8-x2)) Is is possible in R ? if not, do you know a (free) software that could do the

Hello list, I have used scan function to import data into R. I have done some analysis and find strange results. I have found my problem : when importing data with scan, this can slightly modify the data : > write(c(0.251,3.399,-0.481,0.266),"essai.txt") > scan("essai.txt") Read 4 items [1] 0.251 3.399 -0.481 0.266 > print(scan("essai.txt"),17) Read

Hi R-users, I am new to R environment.I want to carry out a correspondence analysis on a contigency table with 64 columns and 298 observation of Environmental data.In many cells of the contigency table the frequency is just the value '1'. I got the following error. > CAIV(Eplankton) Error in if (L[i, j] < 0) return("Table L must contain non-negative numbers") :

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Dear All, I have a set of environental maps and presence-only points for some species. How can I generate distributions models on R using these presence-only data? What packages and functions can I use to do so? Kind regards, Miltinho Brazil [[alternative HTML version deleted]]

Hi all: How can I calculate the cumulative variance (or variance for each component) in correspondence analysis? If were possible in ADE4 package Thank you -- Antonio Punzón Merino O__---- Instituto Español de Oceanografía c/ /'_ --- Centro Oceanográfico de Santander (*) \(*) -- Promontorio de San Martín S/N ~~~~~~~~~~ 39004-Santander; Spain PO BOX: 240 Tlf: +34 942 29 10 60 Fax: +34

I am seeking information on whether anyone has written code to perform Horn's parallel analysis (a procedure that informs the selection of the proper number of components in PCA) in R. Thank you in advance for any help you can provide. Please respond off-list at the email address below. Karen Douglas ******************************************************************* Karen Douglas,

Hello, I have some questions concerning encoding and package distribution. We develop the ade4 package. For some data sets included in the package, there are accentued character (e.g. ?,?...). The data sets have been saved using latin1 encoding, but some of us use utf-8 and can not see some data sets which contains accented chracters. e.g: librarry(ade4) data(rankrock) rankrock in this case,

Hi, I misunderstand the definition of Canberra distance in R. On Internet and in function description pages of dist() from stats and Dist() from amap, Canberra distance between vectors x and y, d(x,y), is : d(x,y) = sum(abs(x-y)/(x+y)) But in use, through simple examples, we find that the formula is : d(x,y) = (NZ + 1)/NZ * sum(abs(x-y)/(x+y)) with NZ = nb of pairs of coordinates that are

Dear R gurus, I have some climatic data for a region of the world. They are monthly averages 1950 -2000 of precipitation (12 months), minimum temperature (12 months), maximum temperature (12 months). I have scaled them to 2 km x 2km cells, and I have around 75,000 cells. I need to feed them into a statistical model as co-variates, to use them to predict a response variable. The climatic

Together with Alessio Boattini of the University of Bologna we have created a package called Biodem. Biodem provides a number of functions for Biodemographycal analysis, and we hope it will be useful to the anthropological community. Because Biodem contains all the functions found in Malmig (a package I maintain), I would like to orphan it, or, even better, have it removed from CRAN. Finally,

Together with Alessio Boattini of the University of Bologna we have created a package called Biodem. Biodem provides a number of functions for Biodemographycal analysis, and we hope it will be useful to the anthropological community. Because Biodem contains all the functions found in Malmig (a package I maintain), I would like to orphan it, or, even better, have it removed from CRAN. Finally,