I think that you can use read.csv with nrows and skip arguments (see ?read.table).
--- On Mon, 22/9/08, DS <[EMAIL PROTECTED]> wrote: > From: DS <[EMAIL PROTECTED]> > Subject: [R] design question on piping multiple data sets from 1 file into R > To: r-help@r-project.org > Received: Monday, 22 September, 2008, 8:06 AM > Hi, > I have some queries that I use to get time series > information for 8 seperate queries which deal with a > different set of time series each. > > I take my queries run them and save the output as csv > file and them format the data into graphs in excel. > > I wanted to know if there is an elegant and clean way to > read in 1 csv file but to read the seperate matrices on > different rows into seperate R data objects. > > if this is easy then I can read the 8 datasets in the csv > file into 8 r objects and pipe them to time series objects > for graphs. > > thanks > Dhruv > > ------------------------------------------------------------ > Email Fax > It's easy to receive faxes via email. Click now to find > out how! > http://tagline.excite.com/fc/JkJQPTgLMRGrZRz1SpXTBEyJ7zsqYo4Wrxjvd4ml8SSHhbc6NzbNSo/ > [[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.
