df <- data.frame( V1= 1, V2= c( 2, 3, 2, 1), V3= c( 1, 2, 1, 1)) dfO <- df[ do.call( order, df), ] dfOD <- duplicated( dfO) dfODTrigger <- ! c( dfOD[-1], FALSE) dfOCounts <- diff( c( 0, which( dfODTrigger))) cbind( dfO[ dfODTrigger, ], dfOCounts)
V1 V2 V3 dfOCounts 4 1 1 1 1 3 1 2 1 2 2 1 3 2 1 Regards On Thu, Sep 10, 2015 at 01:11:24PM +0000, Thomas Chesney wrote: > Can anyone suggest a way of counting how frequently sets of values occurs in > a data frame? Like table() only with sets. > > So for a dataset: > > V1, V2, V3 > 1, 2, 1 > 1, 3, 2 > 1, 2, 1 > 1, 1, 1 > > The output would be something like: > > 1,2,1: 2 > 1,3,2: 1 > 1,1,1: 1 > > Thank you, > > Thomas Chesney > > > > This message and any attachment are intended solely for the addressee > and may contain confidential information. If you have received this > message in error, please send it back to me, and immediately delete it. > > Please do not use, copy or disclose the information contained in this > message or in any attachment. Any views or opinions expressed by the > author of this email do not necessarily reflect the views of the > University of Nottingham. > > This message has been checked for viruses but the contents of an > attachment may still contain software viruses which could damage your > computer system, you are advised to perform your own checks. Email > communications with the University of Nottingham may be monitored as > permitted by UK legislation. > > ______________________________________________ > 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. > ______________________________________________ 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.