Read the article in R News 4/1. 2010/1/27 Robert Kalicki <robert.kali...@mph.unibe.ch>: > Dear R community > > I would like to perform some statistical analysis on a data set containing > the following items: date, time, index of observation and various > covariates. > > The date and time are originally extracted in the following format: > dd.mm.yyyy and hh:mm:ss respectively. R and more precisely the function > read.table() seems to read the data properly. In a second step, I would like > to sort and subset the data according to daytime, day of the week, month, > season but I get into trouble when trying to use the built-in functions with > this format. > > Which is the most convenient date and time format in R to perform such kind > of work? > > Is there any specific, powerful and well documented package containing > various date and time functions? > > > > Many thanks in advance > > > > Best regards > > > > ___________________________________________ > Robert M. Kalicki, MD > > Postdoctoral Fellow > > Department of Nephrology and Hypertension > > Inselspital > > University of Bern > > Switzerland > > > > Address: > > Klinik und Poliklinik für Nephrologie und Hypertonie > > KiKl G6 > > Freiburgstrasse 15 > > CH-3010 Inselspital Bern > > > > Tel +41(0)31 632 96 63 > > Fax +41(0)31 632 14 58 > > > > > [[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. > >
______________________________________________ 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.