Hello,

I have two time series 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))

The time series I want is:

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.

This would not be too difficult to write but does anything like this already
exist?

Thank you,

-stephen

-- 
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Stephen J. Barr
University of Washington
Dept. of Applied and Computational Math Sciences
Dept. of Economics
WEB: www.econsteve.com
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