On Wed, Jan 6, 2010 at 8:34 PM, D Kelly O'Day <ko...@processtrends.com>wrote:
> > I am trying to build an easy to use climate data analysis tool kit that > will > let non-R users run my detailed r script with minimum R learning curve > effort. > > Here's an example: > > link <- > "http://chartsgraphs.wordpress.com/files/2010/01/nsidc_trend_plot_2.doc"; > source(link) > > Why is it called '.doc'? ".R" would be normal, this makes me think it's a word document... > > My questions: > > 1. how can user get list of just data.frames to investigate the data? > ls() ? I'm not sure exactly what you mean here... > 2. how can user list my R script in the session so that he/she can adjust > it? > > > My R scripts retrieve raw data, process it and organize it for analysis. > I'd > like the users to be able to save the data, subset, modify data and make > their own plots. > > I can't seem to find out any information on how to "look at" sourced R > scripts. Suggestions on where to look will be appreciated. > > You can use a URL in many places where you can use a filename in R. So I can read in your script above with: f=readLines(" http://chartsgraphs.wordpress.com/files/2010/01/nsidc_trend_plot_2.doc";) now f[1] is the first line of your file, f[2] is the second and so on. You might be better off using download.file(), which gets and stores a file. Then persuade your users to edit it with an editor (use file.edit(filename)) and then source it again. Useful? Barry [[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.
