How to google for R stuff?
You can also try: http://www.rseek.org/ Cheers
Duncan Murdoch wrote:
On 20/05/2009 10:01 AM, cryan at binghamton.edu wrote:
For Google searches, I find that throwing in the term cran on every search helps weed out irrelevant pages. For example, instead of r residuals I type r cran residuals
You are very picky. When I enter R residuals into Google, 8 out of the first 10 hits are for R topics. Isn't that good enough for you? I think this is true of most Google searches: the letter R most often means the R project. Duncan Murdoch
--Chris Ryan ---- Original message ----
Date: Wed, 20 May 2009 09:43:14 -0400 From: Luc Villandre <villandl at dms.umontreal.ca> Subject: Re: [R] How to google for R stuff? To: Kynn Jones <kynnjo at gmail.com> Cc: r-help at r-project.org Kynn Jones wrote:
Hi! I'm new to R programming, though I've been programming in other languages for years. One thing I find most frustrating about R is how difficult it is to use Google (or any other search tool) to look for answers to my R-related questions. With languages with even slightly more distinctive names like Perl, Java, Python, Matlab, OCaml, etc., usually including the name of the language in the query is enough to ensure that the top hits are relevant. But this trick does not work for R, because the letter R appears by itself in so many pages, that the chaff overwhelms the wheat, so to speak. So I'm curious to learn what strategies R users have found to get around this annoyance. TIA! KJ [[alternative HTML version deleted]]
______________________________________________ R-help at 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.
Hi Kynn, I've had this problem too in the beginning. Luckily, my personal experience has taught me that almost all relevant R-related information can be found either by searching directly through the archives of the different R-forums or by using the functions "RSiteSearch()" or "help.search()". The reference manuals provided with each package (easily accessible on CRAN) are also invaluable sources of information. Unfortunately, phrasing queries in a way that will yield relevant results is sometimes hard. Knowledge of the terminology mostly comes from experience, so patience is in order. Of course, as a last recourse, there's always the mailing list. Bottom line is, I suggest you try to avoid generic search engines and concentrate your efforts on the different R-forums (note that there are also package-specific forums). I suspect the more experienced R-users might have better strategies to propose though... Cheers, -- *Luc Villandr?* /Biostatistician McGill University Health Center - Montreal Children's Hospital Research Institute/
______________________________________________ R-help at 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 at 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 at 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.