similar to: [OT] correspondence analysis w/ non-mutually-exclusive ca tegories

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):

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 ...

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

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

Hi all, I have problems transforming a matrix into a data.frame: If I do: > is.matrix(parcelas.cobtot.conti) [1] TRUE > dim(parcelas.cobtot.conti) [1] 25 64 > a <- data.frame(parcelas.cobtot.conti) > is.data.frame(a) [1] TRUE > > dim(a) [1] 1600 3 Why a does not have the same dimensions than parcelas.cobtot.conti? I've tested with caith and the behaviour there

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

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

Do I need to use submit_to_remote in conjunction with or instead of form_remote_tag? The description in the API docs. is confusing. Is the combination of form_tag/submit_to_remote valid? Is the combination of from_remote_tag/submit_tag valid? Thanks, Wes -- Posted via http://www.ruby-forum.com/.

Hi all, I''ve got a situation where there are two different states an application can be in - that is, there are certain parts of the data that can never coexist. However, I need to test both circumstances, since they''re both valid. Is there any way of specifying a completely different fixture set for one set of tests while leaving the original fixtures in place for the

Been tearing my hair out trying to find out if redirecting my user's automounted home folder is killing offline files availability. We are just now migrating our windows users to win7 (school, limited funding), and while I've got folder redirection working, I also need to make sure offline files work as well for my mobile users. What smb.conf settings are required that will fix this

Hi rsync developers, I'm trying to get some fancy mirroring done with selecting files from a larger archive through the --files-from option. The only problem that I do see is that rsync will not eat the --delete option whatever I try. Thus, all the old files remain in the mirror archive instead of being deleted. To be more clearly, I want the rsync --files-from option to behave like

The correct way has to be one or the other: http://wiki.dovecot.org/LDA/Exim are mutually exclusive with http://wiki.dovecot.org/HowTo/DebianStable It appears that exim can either call dovecot's LDA or make the delivery itself. There may be good reasons to do it one way or the other. ---------------------------------------------------------------- Karl Schmidt

Greetings- Running R 2.4.0 under Debian Linux, I am getting a memory error trying to read a very large file: > library(foreign) > oldgrades.df <- read.spss('Individual grades with AI (Nov 7 2006).sav',to.data.frame=TRUE) Error: cannot allocate vector of size 10826 Kb This file is, granted, quite large: aperrin at perrin:/data0/grading$ ls -l total 630304 -r-xr-xr-x 1 aperrin

Playing around with examples from MASS4, I found a font problem in the mosaicplot in R-2.3.0. It doesn't happen in other plots. Running this example from MASS4, page 326... library(MASS) caith1 <- as.matrix(caith) names(dimnames(caith1)) <- c("eyes", "hair") mosaicplot(caith1, color = TRUE) ...I get an image as attached. The column and row labels are unreadable. It

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

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

Greetings - In trying to do a multiple correspondence analysis, I need to coerce a data frame such that each of its columns will be a factor. Can someone offer advice on how to make this happen? I've tried this: > logic.resources.f.df<-apply(logics.resources.df, 2, factor) but: > is.factor(logic.resources.f.df$interests) [1] FALSE I've also tried individually, >

Can anyone explain this behavior? Essentially, I've created a short file to be read in via source() that gets some descriptive information on a series of variables in a data frame. For each variable, I do three things: print('last.hc.actors') quantile(last.hc.actors,probs=seq(0,1,0.1),na.rm=T) stem(last.hc.actors) where the variable name is (in this case) last.hc.actors. All that

Greetings. I'm using plot.mca (from MASS) to construct some correspondence analyses of data drawn from focus-group transcripts. My question is simple albeit rather open-ended: I'm wondering what options there might be to plot.mca for tailoring the plots to my needs. The documentation to the function is somewhat sparse. Thanks- Andy Perrin