Have you gone through any R tutorials? There are innumerable good ones on the web -- and one that ships with R (An Intro to R). Don't you think you should make an effort to learn some basics on your own before posting here?
... or do I misinterpret your question? (And if so, my apologies -- feel free to chastise me appropriately). Cheers, Bert Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll On Tue, Nov 3, 2015 at 4:26 PM, Robert Sherry <rsher...@comcast.net> wrote: > I have created what I believe to be a data frame. It is called env1$SPY. > The r statement head( env1$SPY ) produces the following output: > > SPY.Open SPY.High SPY.Low SPY.Close SPY.Volume SPY.Adjusted > 1995-01-03 45.7031 45.8437 45.6875 45.7812 324300 31.55312 > 1995-01-04 45.9843 46.0000 45.7500 46.0000 351800 31.70392 > 1995-01-05 46.0312 46.1093 45.9531 46.0000 89800 31.70392 > 1995-01-06 46.0937 46.2500 45.9062 46.0468 448400 31.73617 > 1995-01-09 46.0312 46.0937 46.0000 46.0937 36800 31.76850 > 1995-01-10 46.2031 46.3906 46.1406 46.1406 229800 31.80082 > > The above data from was created by the following commands: > library( quantmod ) > env1 <- new.env() > getSymbols("SPY", src = 'yahoo', from = '1995-01-01', env = env1, > auto.assign = T) > > Now, what I want to do is to loo through the data look for when the month > changes. What is the proper way of writing a for loop in > R and access the date field? > > Bob > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.