Try this: rowsum(Income, format(Date, '%m-%Y'))
or tapply(Income, format(Date, '%m-%Y'), sum) On Wed, Sep 9, 2009 at 7:51 AM, clair.crossup...@googlemail.com < clair.crossup...@googlemail.com> wrote: > Dear all, > > Lets say I have a data frame as follows: > > > > Date <- as.Date(c('2006-08-23', '2006-08-30', '2006-09-06', '2006-09-13', > '2006-09-20')) > > Income <- c(73.79, 72.46, 76.32, 72.43, 72.62) > > data.frame(Date, Income) > Date Income > 1 2006-08-23 73.79 > 2 2006-08-30 72.46 > 3 2006-09-06 76.32 > 4 2006-09-13 72.43 > 5 2006-09-20 72.62 > > > > is there a way to group the data by month (summing the values in each > month), i.e. > > Date Income > 2006-08 146.25 > 2006-09 221.37 > > Thanks in advance, > C.C. > > ______________________________________________ > 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. > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O [[alternative HTML version deleted]]
______________________________________________ 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.