Try this: > library(zoo) # as.yearmon > dd <- seq(as.Date("2000-01-01"), as.Date("2004-12-31"), "day") > dow <- as.numeric(format(dd, "%w")) > ym <- as.yearmon(dd) > tab <- do.call(rbind, tapply(dow, ym, table)) > rownames(tab) <- format(as.yearmon(as.numeric(rownames(tab)))) > head(tab) 0 1 2 3 4 5 6 Jan 2000 5 5 4 4 4 4 5 Feb 2000 4 4 5 4 4 4 4 Mar 2000 4 4 4 5 5 5 4 Apr 2000 5 4 4 4 4 4 5 May 2000 4 5 5 5 4 4 4 Jun 2000 4 4 4 4 5 5 4
On Thu, Jan 15, 2009 at 2:28 PM, Carlos Hernandez <carlos.u...@gmail.com> wrote: > dear All, > i'm trying to calculate the number of Mondays, Tuesdays, etc that each month > within a date range has. I have time series data that spans 60 months and i > want to calculate the number of Mondays, Tuesdays, Wed, etc of each month. > (I want to control for weekly seasonality but my data is monthly). > > Is there an easy way to to this in R? or is there a package i could use? i > did some quick search in the help files and R sites but could not find any > answers. > > i appreciate any hint you could give, > > thanks. > > Carlos > > ______________________________________________ > 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. > ______________________________________________ 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.