Maybe: cbind(df,rbind(NA,apply(log(df),2,diff)))
Bart Vishal Belsare wrote: > > I have a dataframe say: > > date price_g price_s > 0.34 0.56 > 0.36 0.76 > . . > . . > . . > > and so on. say, 1000 rows. > > Is it possible to add two columns to this dataframe, by computing say > diff(log(price_g) and diff(log(price_s)) ? > > The elements in the first row of these columns cannot be computed, but > can I coerce this to happen and assign a missing value there? It would > be really great if I could do that, because in this case I don't have > to re-index my transformed series to the dates again in a new > dataframe. > > Thanks in anticipation. > > > Vishal Belsare > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/diff-in-a-dataframe-tp14728790p14731043.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
