R itself has no support for irregular time series, but it does have an aggregate method for regular ones. You need to look into whichever package is handling irregular time series. However, it seems to me that this is not a time series problem at all: you have a set of observations whose indices are data-times, and tapply() will do the job.
On Thu, 25 Mar 2004, Ivan Alves wrote: > S-Plus has the function AggregateSeries() whose name is self > explanatory. For instance one can derive monthly series from daily > ones by specifying end-of-period, averages, sums, etc. I looked for a > similar function in the packages "its" and "tseries", but found > nothing. I also help.searched() for aggregate to no avail. Would > anybody be so kind to point me in the right direction? -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
