similar to: correspondence analysis

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

Dear R users, I m quite a novice in using R for factor analysis and I would need some help to choose the right function. I have a contingency table and I would like to perform a Correspondence analysis on this table, followed by a hirarchical clustering of my variables projected in on the first principal components. Here are my question : - what is the more appropriate function to do so ...

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

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

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

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

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 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 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

I found the solution o this using SEQ_RANGE_ARRAY_ADD(&RESULT->DEFINITE_UIDS, UID); Now, I can see in the logs that several times, the dovecot calls the fts_backend_xapian_update_set_mailbox with box == NULL. WHy so ? THank you On 2019-01-12 21:40, Joan Moreau via dovecot wrote: > I somehow fixed the folder issue. (seems some unix rights after too many tests) > > Getting

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):

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

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]]

I somehow fixed the folder issue. (seems some unix rights after too many tests) Getting back on the "fts_results" structure: I am trying: I_ARRAY_INIT(&(RESULT->DEFINITE_UIDS),R->SIZE); I_ARRAY_INIT(&(RESULT->MAYBE_UIDS),0); uint32_t uid; for(i=0;i<r->size;i++) { try {

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

Hello could you please tell me what is the function to get the absolute value of the real or complex number. most of other languages it is abs(x) , what is it in r? I did few searhces in the help docs for no avail. thanks F.J

below is a code to compute hessian matrix , which i need to generate 29 number of different matrices for example first element in x1 and x2 is use to generate let say matrix (M1) and second element in x1 and x2 give matrix (M2) upto  matrix (M29) corresponding to the total number of observations and b1 and b2 are constant.  can some one guide me or help to implement this please. I did not