> -----Original Message----- > > Assuming your dataset is in a matrix you want to transpose it. So you > > can go t(mesdonnees) and then call cor on that. > > ok, it will still make sense ?
If the idea does not make sense before you do it, it probably won't make more sense afterwards ... But you'll have a correlation matrix by individual, and that will show you pairs of individuals whose measures on the different variables tend to correlate more or less strongly. I can't help a suspicion that something like PCA might help more than a raw correlation matrix, if you want to see how closely individuals are associated, but correlation is a possible step on the way. S Ellison ******************************************************************* This email and any attachments are confidential. Any use, copying or disclosure other than by the intended recipient is unauthorised. If you have received this message in error, please notify the sender immediately via +44(0)20 8943 7000 or notify postmas...@lgcgroup.com and delete this message and any copies from your computer and network. LGC Limited. Registered in England 2991879. Registered office: Queens Road, Teddington, Middlesex, TW11 0LY, UK ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
