On Tue, Aug 18, 2009 at 7:09 PM, Sherri Heck<sh...@ucar.edu> wrote: > Dear all- > > I have a data set that looks as follows (data are taken every 5 minutes): > > LST in mph Deg DegF DegF2 % volts Deg mph2 w/m2 > 0905010000 -999 7.5 259.3 33.0 -999 41.5 -999 -999 9.1 > 0.2 > 0905010005 -999 11.0 261.2 33.1 -999 42.6 -999 -999 18.2 > 0.2 > 0905010010 -999 8.9 252.5 33.4 -999 41.6 -999 -999 12.4 > 0.2 > 0905010015 -999 9.1 265.9 33.2 -999 41.8 -999 -999 11.7 > 0.2 > > > I am able to calculate the hourly average of "mph" over a span of 3 months > with the following code: > > > z <- read.zoo("SPL summer 2009.txt", header = TRUE, na.strings = -999, > format = "%y%m%d%H%M", FUN = as.chron, > colClasses = c("character", rep("numeric", 10))) > mph <- z[months(time(z)) %in% c("May", "Jun", "Jul"),] > ww <- aggregate(z$mph, trunc(time(z), "hour"), mean) > > > but, i need to take the hourly average (spanning the same three months) of > the directional degrees (Deg) in order to use that data to create a wind > rose. I was planning to get the hourly avg step by step , i.e. converting > to radians, taking sins, etc, but "aggregate" seems to only use summary-type > functions. I have been playing around with "daply", which seems to accept > other functions, but am not sure how to convert the time/date stamp within it. >
You can aggregate by any function that inputs a vector and produces a scalar. Can you clarify what function you want to aggregate by that you believe cannot be handled? ______________________________________________ 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.