[R] How to google for R stuff?
cryan at binghamton.edu
cryan at binghamton.edu
Wed May 20 16:01:59 CEST 2009
For Google searches, I find that throwing in the term cran on every search helps weed out irrelevant pages.
For example, instead of
r cran residuals
---- 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.
>> [[alternative HTML version deleted]]
>> R-help at r-project.org mailing list
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>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
>McGill University Health Center -
>Montreal Children's Hospital Research Institute/
>R-help at r-project.org mailing list
>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
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