You should send this to r-h...@stat.math.ethz.ch. On 03/09/2012 09:21 AM, Andrea Sica wrote: > Hello everybody, I'm looking for someone who is able with MCA and > would like to gives some help. > > If what I'm doing is not wrong, according to the purpose I have, I > need to understand how to create a dependence matrix, where I can > analyze the > dependence between all my variables. > Till now this is what I was able to do: > > /p <- length(spain)/ #this is the number of the variables (91) > > /chisquare <- matrix(spain, nrow=(p-1), ncol=p)/ #it creates a > squared-matrix with all the variables (if I'm not already wrong) > > /for(i in (1:(p-1))){/ > /chisquare[i, (1:(p-1))] <- chisq.test(spain[,i], spain[, i+1])$statistic/ > /chisquare[i, p] <- chisq.test(spain[,i], spain[, i+1])$p.value/ > /} /#it should have related the "p" variables to analyze whether in > pairs they are dependents, but it seems like it just related two of > them and repeated the relations for all the number of columns (since > it gives the same values in each cell by row) > > /chisquare/ #all the cells have the same values by row > > Anyway, I think is also the way I'm proceeding which is wrong, since I > want to relate all the variables in pairs thus to be able to calculate > the dependence between all of them. That's why I am going for a > dependence matrix. Where am I wrong? > > > After that I can proceed with the MCA. Of course, I would also > need help there. > > I used the following codes to do it: > > /spain.mca <- mjca(spain) /#it makes the mca for all the data > /spain.mca/ > /plot(spain.mca)/ #it shows the plot > > But the plot was overcrowded. Anyway, I must first complete the first > step, this was just to make some practice on it. > > As you can see, until now I didn't succeed. > > I hope someone will be so gentle to give it a try. Attached you are > the data-set > Thank you > > Best
-- Kevin E. Thorpe Biostatistician/Trialist, Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's Assistant Professor, Dalla Lana School of Public Health University of Toronto email: kevin.tho...@utoronto.ca Tel: 416.864.5776 Fax: 416.864.3016 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.