Kel, in addition, and depending on how you define "similarity", you might want to look into the RV coefficient as a measure of it (it is actually related to a correlation, so similarity would rather mean "similar information" though not necessarily small Euclidean distance); coeffRV in FactoMineR would be one option to determine it. HTH, Michael
> -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Lamke > Sent: Samstag, 26. Mai 2012 20:05 > To: r-help@r-project.org > Subject: [R] How to measure level of similarity of two data frames > > Hi group, > > I've been thinking of calculating euclidean distance between each > column of a data frames that each consists of standardized numerical > columns. > However, I don't know if there's a way of summarizing the overall > distance by some kind of metrics. If anyone know a proper way of doing > so and/or a package I would greatly appreciate your suggestions. > Thanks very much! > > Kel > > -- > View this message in context: http://r.789695.n4.nabble.com/How-to- > measure-level-of-similarity-of-two-data-frames-tp4631466.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. ______________________________________________ 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.
