Nick, I don't know of a way to do what you want ... tell R to ignore all errors ... but, I do have a suggestion.
Since you regard these errors as "non-essential", why not edit your code to reflect that? For example, instead of writing plot(df$x1, df$y1) write if ("x1" %in% names(df) & "y1" %in% names(df)) plot(df$x1, df$y1) ... or something like that. Jean On Thu, Apr 23, 2015 at 12:28 PM, Nick Matzke <mat...@nimbios.org> wrote: > Hi R-help, > > I've looked at google, the Rscript documentation and the Rscript --help > output and haven't found much on this. So, here's my question: > > I have a rather long script that runs on various input datasets. It is > quite convenient to run the script from the Terminal command line with > "Rscript scriptname.R" > > However, some datasets will cause errors. These are non-essential errors -- > just some datasets don't have certain columns so certain parts of the > overall analysis don't produce figures etc. Yes, I could go through the > whole script and insert try() statements, etc. But I'm lazy. > > So, is there a way to run Rscript or something similar, and just have it > ignore all errors (i.e., keep running through the script)? I.e., just like > what happens if you just copy-paste the whole script into the R window -- > errors happen and are noted but the rest of the script keeps running. > > Thanks very much for any help!! > > Cheers! > Nick > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.