It helps to have a bit more detail and some sample data. Have a look at Reproducibility http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example and http://adv-r.had.co.nz/Reproducibility.html for some ideas of how to pose a question on the list.
John Kane Kingston ON Canada > -----Original Message----- > From: shah_su...@hotmail.co.uk > Sent: Fri, 24 Jul 2015 04:08:08 -0700 (PDT) > To: r-help@r-project.org > Subject: [R] apply kendall tau to a split data set > > $`19179222` > Unique.ID Start.Year L1.Risk.Category > Gross.amount.sum > 17 19179222 2013 Execution, Delivery & Process Management > 161212.1 > 18 19179222 2015 Execution, Delivery & Process Management > 110880.0 > > $`25182498` > Unique.ID Start.Year L1.Risk.Category > Gross.amount.sum > 19 25182498 2014 Clients, Products & Business Practices > 59384 > 20 25182498 2014 Execution, Delivery & Process Management > 355000 > 21 25182498 2015 Execution, Delivery & Process Management > 27720 > > $`32506027` > Unique.ID Start.Year L1.Risk.Category > Gross.amount.sum > 22 32506027 2003 Execution, Delivery & Process Management > 3600000.0 > 23 32506027 2013 Execution, Delivery & Process Management > 161212.1 > 24 32506027 2014 Clients, Products & Business Practices > 14846.0 > > > Hi, I have split a data frame and output is as above. > > I would like to apply Kendall's tau to calculate correlations. For > example, > for the last Unique.ID 32506027, I want to create a time series for each > L1 > risk category, and then calculate the correlation between each L1 risk > category using the Kendall tau approach. > > Any help would be much appreciated. > > Thanks > s > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/apply-kendall-tau-to-a-split-data-set-tp4710303.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. ____________________________________________________________ FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks & orcas on your desktop! ______________________________________________ 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.
