You can also try:
http://www.rseek.org/
Cheers
Duncan Murdoch wrote:
On 20/05/2009 10:01 AM, cr...@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 <villa...@dms.umontreal.ca>
Subject: Re: [R] How to google for R stuff?
To: Kynn Jones <kyn...@gmail.com>
Cc: r-help@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
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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 Villandré*
/Biostatistician
McGill University Health Center -
Montreal Children's Hospital Research Institute/
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______________________________________________
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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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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.
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
