Hello, First, sorry for sending HTML emails earlier. This should now be in plain-text mode.
I have two time series (ts) objects, 1 is yearly (population) and the other is quarterly (bankruptcy statistics). I would like to produce a quarterly time series object that consists of bankruptcy/population. Is there a pre-built function to intelligently divide these time series: br.ts = ts(data=br.df[,-1], frequency = 4, start=c(2001,1), end=c(2008,2)) distPop.ts = ts(data=distPop.df[,-1], frequency=1, start=2000, end=2008) The time series would consist of the elements (in pseudocode): br.ts[2001Q1]/distPop.ts[2001] , br.ts[2001Q2]/distPop[2001], br.ts[2001Q3]/distPop.ts[2001] , br.ts[2001Q4]/distPop[2001], br.ts[2002Q1]/distPop.ts[2002] , br.ts[2002Q2]/distPop[2002], etc. I know that this would not be too difficult to write but does anything like this already exist? Thank you, -stephen -- ========================================== Stephen J. Barr University of Washington Dept. of Applied and Computational Math Sciences Dept. of Economics WEB: www.econsteve.com ========================================== -- ========================================== Stephen J. Barr University of Washington Dept. of Applied and Computational Math Sciences Dept. of Economics WEB: www.econsteve.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.
