Hi Bert, thanks for your advice on lapply which I am still not very familair with. With regard from the issue of the names I realised that I can simply call names on the data.frame and then join them with other strings through paste and add them to the data.frame by using the [] syntax rather than the $
Thanks Paolo On 19 May 2011 16:53, Bert Gunter <gunter.ber...@gene.com> wrote: > 1. This won't work. The lagged variables have length one less than the > originals. > > 2. How about: > > lagged_Q <- data.frame( lapply( QuarterlyData,diff)) > > You can then change the names in lagged_Q to something like > lagged_originalName via paste() if you like. > > 3. I strongly suspect that none of this is necessary or wise: R has > numerous time series modeling and graphical capabilities that handle > this automatically. I suggest you first check the time series Task > View on CRAN to see if something there already does what you want. > > -- Bert > > On Thu, May 19, 2011 at 8:05 AM, Paolo Rossi > <statmailingli...@googlemail.com> wrote: > > Hello, > > > > I would like to create lagged and delta variables from a set of variables > > and then add them to a dataframe > > > > Suppose that GDPPcSa is a variable. I would like to be able to do this > > > > QuarterlyData$D1GdpPcSa = diff(GDPPcSa , 1) > > > > in an automated fashion so that I loop over Quartely data to compute the > > first difference of its variables and add them to the dataframe. > > > > .It would be great to get a way to create the string "D1GdpPcSa" knowing > > that the name of the var is GdpPcSa. Then I can add the varibale > D1GdpPcSa > > to the dataframe and work on its names attribute. > > > > Thanks > > > > Paolo > > > > [[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. > > > > > > -- > "Men by nature long to get on to the ultimate truths, and will often > be impatient with elementary studies or fight shy of them. If it were > possible to reach the ultimate truths without the elementary studies > usually prefixed to them, these would not be preparatory studies but > superfluous diversions." > > -- Maimonides (1135-1204) > > Bert Gunter > Genentech Nonclinical Biostatistics > [[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.
