Hi, In addition, you can also use: ?trunc(), ?substr() etc. aggregate(Value, by = list(floor(Lat)), FUN = function(x) signif(mean(x),2)) # Group.1 x #1 69 0.18 #2 70 0.16
aggregate(Value, by = list(substr(Lat,1,2)), FUN = function(x) signif(mean(x),2)) # Group.1 x #1 69 0.18 #2 70 0.16 aggregate(Value, by = list(trunc(Lat)), FUN = function(x) signif(mean(x),2)) Group.1 x #1 69 0.18 #2 70 0.16 A.K. ----- Original Message ----- From: Rui Barradas <ruipbarra...@sapo.pt> To: Swagath Navin <s.n.mano...@rug.nl> Cc: r-help@r-project.org Sent: Tuesday, December 11, 2012 10:27 AM Subject: Re: [R] Latitudinal mean of values in a data frame Hello, again. Another possibility is aggregate(Value, by = list(floor(Lat)), FUN = mean) Rui Barradas Em 11-12-2012 11:17, Swagath Navin escreveu: > Dear all, > > I have a big file containing latitude points(-10 to 80) and corresponding > values. > Example data > > Lat=c(69.48134, 69.49439, 69.50736, 69.52026, 69.52438, 69.53308, 69.53746, > 69.54365, 69.54582, 69.6884, 69.69272, 69.998, 70.00055, 70.00106, 70.00295, > 70.00308, 70.00363, 70.00427, 70.00665, 70.00906, 70.01049, 70.01053, > 70.01075, 70.01208, 70.01236, 70.01418, 70.01452, 70.01646, 70.01983, > 70.0209, 70.02298, 70.02386, 70.02533, 70.02534, 70.02856, 70.0291, 70.02983, > 70.03091, 70.03267, 70.03423) > > Value=c(0.18917075, 0.18856758, 0.1877328, 0.18664664, 0.18871901, > 0.18528864, 0.18797649, 0.18999862, 0.1836383, 0.15414046, 0.18542965, > 0.13914858, 0.1654665, 0.12885736, 0.18935319, 0.1912378, 0.14910094, > 0.17590007, 0.18369354, 0.12546185, 0.16096813, 0.18851039, 0.14388486, > 0.19098477, 0.17252013, 0.12965086, 0.12256515, 0.18159349, 0.15608113, > 0.18742996, 0.13858418, 0.16865459, 0.19058037, 0.12531143, 0.19189732, > 0.12019097, 0.1790819, 0.15086053, 0.18607724, 0.13330366) > > dframe=data.frame(Lat, Value) > > i would like to find latitudinal mean such that my output looks like the > below: > > Lat Value > 69 0.18 > 70 0.16 > > I am thankful for any ideas how to perform this or which function i should > look into. > > Thanks a lot for your time, > Cheers, > Navin > > ______________________________________________ > 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. ______________________________________________ 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.
