similar to: Need for advise for Correspondence Analysis

Hello ... I tried to generate .fig figures with R, using the xfig() function ...When I open the figures using xfig software under linux ... the foreground color change strangely ... whereas when I display the same figure in R or when I saved it in using postscript() function there is no problem. Any idea about the behavior of the colors when using xfig ?? Thanks in advance Christophe Grova

I'm experienced in statistics, but I am a first-time R user. I would like to use R for correspondence analysis. I have installed R (Mac OSX). I have used the package installer to install the CA package. I have run the following line with no errors to read in the data for a table: NonLuxury <- read.table("/Users/myUserName/Desktop/nonLuxury.data.txt") The R online help

Hello, I am new to R and I have a question about the difference between correspondence analysis in R and SPSS. This is the input table I am working with (4 products and 18 attributes): > mytable 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 1 15 11 20 4 14 7 1 2 1 4 12 12 17 19 11 20 9 10 2 19 18 14 14 16 4 14 11 11 15 22 19 22 16 21 19 15 16 3 16 13 10 9 15 4 10 7 11 13 18

Dear list: I have tried MASS's mca function and SAS's PROC corresp on the farms data (included in MASS, also used as mca's example), the results are different: R: mca(farms)$rs: 1 2 1 0.059296637 0.0455871427 2 0.043077902 -0.0354728795 3 0.059834286 0.0730485572 4 0.059834286 0.0730485572 5 0.012900181 -0.0503121890 6

Hello, I'm an absolute beginner with R and neophite in data analysis, so please bear with me if I ask stupid question. I'm trying to do a correspondence analysis using R and MASS corresp function, but I get an error message which I'm unable to interpret: > data(weblog) > library(MASS) > corresp(~ url + fromurl, data=weblog) Error in svd(t(t(x1 * Dr) * Dc)) : error 306 in

hi, My code: data<-matrix(data=c(0.425,0.5,0.75,0.125,0.25,0.475,0.375,0.25,0.625,0.5,0.1,0.125,0,0.25,0.25),nrow=3,ncol=5,byrow=TRUE, dimnames=list(c("Good","Medium","Bad"),c("Content","Logistic","Trainer","Supply","User contribution"))) plot(corresp(data,nf=2),xlim=c(-1,1),ylim=c(-1,1)); The plot is

Andy, Take a look at Greenacre, Theory and Applications of Correspondence Analysis. He has many example of dealing with all sorts of data. Basically, the technique is relevant for 2-way tables -- MCA is an extenstion. It is not clear in your example whether CA is really appropriate -- you want to make an observation (if at all possible) fall in one cell, treating the others layers as

Greetings, again. This is not strictly an R question, so please feel free to ignore it if you like. My question is about the substance of correspondence analysis. Specifically, is it appropriate to use ca on a matrix of values such that the columns and/or rows are not mutually exclusive? To be more detailed: - The standard use of ca is illustrated in the example of corresp() (from MASS):

Hello, I'm trying to do some correspondence analyis, with R, of course (by correspondence analysis, I'm refering to JP Benz?cri's methods, in case there might be some other thing with a similar name) I've found a couple of tools refering to C.A in the existing packages : ca() in package multiv and corresp()/mca() in MASS. MASS tools look more easy to use (it is supposed to put

Is it possible to do a graphic in 3D? This is my source: but this one is on 2D and at moment variables put on other variables, so it is difiicult to differentiate them visibly. plot(corresp(data,nf=2),xlim=c(-1,1),ylim=c(-1,1)); Thanks Sabine --------------------------------- ils, photos et vidéos ! [[alternative HTML version deleted]]

Hi! If I do: plot(corresp(a, nf = 2),xlim=c(-1,2),ylim=c(-1,1)) while the xlim takes effect, the ylim does not, no matter the values given for ylim. Is this intentional? is this an error? (I think this might be related with line 41 in biplot.default in mva) (using R 1.6.2 on a linux (suse 7.3) box.) Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris

Hello everybody, i'm having some trouble performing correspondence analysis with R for Mac OS X. Does anyone know about some useful package? And also, if i had found coordinates of points representing row and column profiles, how do i put them in a single figure with labels identifying each one of them? This thing is getting me almost crazy... Thank you in advance for answering, bye

Is there an R function that does canonical correspondence analysis. Can it be done using the VR function corresp()? If not, how hard it be to write R code to do it? I am a population biologist with long but patchy programming experience in C, Smalltalk, Java and other languages. Thanks, Patrick Foley patfoley at csus.edu

The current r-devel (aka R 1.7.0) now attaches the package "methods" by default at startup. A new option, "defaultPackages", is set to c("methods", "ctest") by default, causing the .First in package base to require those two packages at startup. There are two main known differences from having methods attached: - the definition of class() changes, in

Hi, In view of the problems I was having with DomU network timeout after a live migration (I posted that problems here a while ago but never got anything except from private emails) I finally updated my Debian/Squeeze Dom0s last night to a new kernel, from 2.6.32-23 to 2.6.32-26. Now live migration just hangs...Any ideas? Xen-related Debian packages (all from Debian repositary, except drbd

Hello R-helpers I want to put a color scale in a plot: I've got an xy plot where the values of the response (z=f(x,y)) is symbolically given by colors (like heat or rainbow color scale) I would like to put such a scale with apprpriates labels in the plot, so as to facilitate the interpretation (like in a finite elements result plot) How is taht possible? Thanks Anne [[alternative

Dear R helpers, I am quite new working with R, and that might be a very easy question for some of you. So I hope you can help me!! I used a hirarchical cluster analysis to create dendrograms, like that: hc <- hclust(dist(USArrests), "ave") plot(hc) plot(hc, hang = -1) Here I want to compare the number of bifurcations for each species, but therefor I need this numbers first. There

Hello, I am a post-doc of the Federal University of Santa Catarina State (UFSC). Last year, used EnQuireR for hirarchical cluster analisis and end up very well. I formated my computer couple months ago and installed R again as version x64 3.0.2. have new data which ENMCA function of EnQuireR package is not running. R seems to be fine as it runs funcions of other packages. Even MCA

Just installed R-1.7.0 (with recommended libraries) on RedHat 8.0. At R console, I can do > library (MASS) > just fine. However, if I put a line 'library(MASS)' into ~/.Rprofile, it fails to load, R : Copyright 2003, The R Development Core Team Version 1.7.0 (2003-04-16) .... Type `q()' to quit R. Error in get(x, envir, mode, inherits) : variable "biplot" was

Hello everybody, Can anyone tell me how I could analyze data that are at a contigency table form? I already found function cfa in the cfa package but I still don't understand how I could use this function in order to elaborate a contigency table. Every answer is welcome! --------------------------------- ÁðïêôÞóôå ôçí äùñåÜí óáò@yahoo.gr [[alternative HTML version deleted]]