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Learning R
11 messages · Julia Cains, Meyners, Michael, LAUSANNE, AppliedMathematics, Paul Hiemstra +8 more
Julia, see http://www.r-project.org/ -> Documentation -> Manuals (-> An introduction to R) (or use: http://cran.r-project.org/manuals.html) for a starting point. In addition, you might want to check the annotated list of books to see which one might best fit your needs: http://www.r-project.org/doc/bib/R-books.html You might also want to browse through the FAQs at some stage, you can learn a lot of useful things there. Or look additionally into the Wiki, if that's more your style of learning. You see, plenty of options from which you'd need to select the one that best meets your requirements. HTH, Michael
-----Original Message-----
From: r-help-bounces at r-project.org
[mailto:r-help-bounces at r-project.org] On Behalf Of Julia Cains
Sent: Montag, 30. November 2009 08:23
To: r-help at r-project.org
Subject: [R] Learning R
Dear R helpers,
Almost 15 days back I have become member of this very active
and wonderful group. So far I have been only raising? queries
and in turn got them solved too and I really thank for the
spirit this group member show when it comes to the guidance.
I wish to learn R language and I have given 2 months time for
this. Can anyone please guide me as how do I begin i.e. from
basics to advance.
R is such a vast thing to learn, so I wish to learn it step
by step without getting lost at any stage.
Please guide me where do I start and upgrade myself to higher
level step by step.
Regards
Julia
************************************************
Only a man of Worth sees Worth in other men
************************************************
[[alternative HTML version deleted]]
Hi Julia, I would really recommend reading a book on R. A good option might by the "Introductory statistics with R" by Peter Dalgaard, or the MASS (Modern Applied Statistics with S) book. The advantage of a book is that it presents a coherent overview, saving you time to wade through the enormous amount of information available. The wiki, FAQ and such are far more useful if you have a good understanding of the basics in R. What also helps if to find someone at your work, university or such that has experience with R. I learned a lot from colleagues, and now I can sometimes helps someone else out. cheers and good luck! Paul
Julia Cains wrote:
Dear R helpers,
Almost 15 days back I have become member of this very active and wonderful group. So far I have been only raising queries and in turn got them solved too and I really thank for the spirit this group member show when it comes to the guidance.
I wish to learn R language and I have given 2 months time for this. Can anyone please guide me as how do I begin i.e. from basics to advance.
R is such a vast thing to learn, so I wish to learn it step by step without getting lost at any stage.
Please guide me where do I start and upgrade myself to higher level step by step.
Regards
Julia
************************************************
Only a man of Worth sees Worth in other men
************************************************
[[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.
Drs. Paul Hiemstra Department of Physical Geography Faculty of Geosciences University of Utrecht Heidelberglaan 2 P.O. Box 80.115 3508 TC Utrecht Phone: +3130 274 3113 Mon-Tue Phone: +3130 253 5773 Wed-Fri http://intamap.geo.uu.nl/~paul
These are some good resources for learning R: Quick-R - http://www.statmethods.net/
From Data to Graphics - http://zoonek2.free.fr/UNIX/48_R/03.html
UCLA Resources to help you learn and use R - http://www.ats.ucla.edu/stat/r/ Good luck!
View this message in context: http://n4.nabble.com/Learning-R-tp931099p931210.html Sent from the R help mailing list archive at Nabble.com.
Julia Cains wrote:
Dear R helpers, Almost 15 days back I have become member of this very active and wonderful group. So far I have been only raising queries and in turn got them solved too and I really thank for the spirit this group member show when it comes to the guidance. I wish to learn R language and I have given 2 months time for this. Can anyone please guide me as how do I begin i.e. from basics to advance. R is such a vast thing to learn, so I wish to learn it step by step without getting lost at any stage. Please guide me where do I start and upgrade myself to higher level step by step. Regards Julia
I heard some time back that O'Reilly is coming out with a book on R .. not
sure if that's out yet, or how good it might be. Worth looking into ...
Esmail
ps: Just checked, 'R in a Nutshell':
http://oreilly.com/catalog/9780596801717
release date dec 2009/jan 2010
Dear Julia, Welcome. It is good that you wish to learn more about R. R has certainly become very vast in the last few years. Do you wish to learn R for a particular reason (financial analyses, multivariate, prediction/classification, genetics)? You might get more targeted reading materials, books and websites to follow up. Regards, Adai
Julia Cains wrote:
Dear R helpers,
Almost 15 days back I have become member of this very active and wonderful group. So far I have been only raising queries and in turn got them solved too and I really thank for the spirit this group member show when it comes to the guidance.
I wish to learn R language and I have given 2 months time for this. Can anyone please guide me as how do I begin i.e. from basics to advance.
R is such a vast thing to learn, so I wish to learn it step by step without getting lost at any stage.
Please guide me where do I start and upgrade myself to higher level step by step.
Regards
Julia
************************************************
Only a man of Worth sees Worth in other men
************************************************
[[alternative HTML version deleted]]
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Julia, I can vouch for the 'Statistical Analysis in R'. Very good book, I learnt R from it. The other one to look at is Spoetry. It solves a lot of problem for me. Paul http://www.burns-stat.com/pages/spoetry.html
On 30 Nov 2009, at 17:17, Ben Seligman wrote:
Hi Julia, I'm also a newcomer to R and to this listserv (in the past two weeks). One book that was recommended to me, and has been extraordinarily helpful in learning how to really make use of R, is "A Beginner's Guide to R", which focuses on data entry/import, data manipulation, functions, and plotting. I quite literally went from barely being able to use R to finishing most of the analysis I need for a term paper in about 10 (well-rested) days thanks to it. I've also heard great things about the Dalgaard text in terms of doing statistical analysis in R. I hope that helps! Cheers, Ben On Mon, Nov 30, 2009 at 7:59 AM, Adaikalavan Ramasamy < a.ramasamy at imperial.ac.uk> wrote:
Dear Julia, Welcome. It is good that you wish to learn more about R. R has certainly become very vast in the last few years. Do you wish to learn R for a particular reason (financial analyses, multivariate, prediction/classification, genetics)? You might get more targeted reading materials, books and websites to follow up. Regards, Adai Julia Cains wrote:
Dear R helpers,
Almost 15 days back I have become member of this very active and wonderful
group. So far I have been only raising queries and in turn got them solved
too and I really thank for the spirit this group member show when it comes
to the guidance.
I wish to learn R language and I have given 2 months time for this. Can
anyone please guide me as how do I begin i.e. from basics to advance.
R is such a vast thing to learn, so I wish to learn it step by step
without getting lost at any stage.
Please guide me where do I start and upgrade myself to higher level step
by step.
Regards
Julia
************************************************
Only a man of Worth sees Worth in other men
************************************************
[[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.
-- Benjamin Seligman Stanford University, School of Medicine MD Candidate, SMS II [[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.
Esmail <esmail.js at gmail.com> [Mon, Nov 30, 2009 at 01:07:15PM CET]:
ps: Just checked, 'R in a Nutshell':
http://oreilly.com/catalog/9780596801717
release date dec 2009/jan 2010
You can't really judge a book by its cover, and in this case not even the cover is presented to us. But judging by the author's background, I'd presume that you are likely to get a computer scientist's intro to R. This is an angle that very few books have taken so far ... most are written by statisticians who write from the problem solving point of view. If you are a statistician, you are probably well served with some of the books available on R. Among these, I too found Venables and Ripley a good read, as they give you some depth on S the language, rather than talking about "101 wonderful things you can do with R".
Johannes H?sing There is something fascinating about science.
One gets such wholesale returns of conjecture
mailto:johannes at huesing.name from such a trifling investment of fact.
http://derwisch.wikidot.com (Mark Twain, "Life on the Mississippi")
Hi, im working in R but honestly i don t know how to apply the formulas in my problem, can someone give some help? I already learn how we use the formulas but im not understanding the main issue in my problem.
Johannes Huesing wrote:
Esmail <esmail.js at gmail.com> [Mon, Nov 30, 2009 at 01:07:15PM CET]:
ps: Just checked, 'R in a Nutshell':
http://oreilly.com/catalog/9780596801717
release date dec 2009/jan 2010
You can't really judge a book by its cover, and in this case not even
the cover is presented to us. But judging by the author's background,
I'd presume that you are likely to get a computer scientist's intro
to R. This is an angle that very few books have taken so far ... most
are written by statisticians who write from the problem solving point
of view. If you are a statistician, you are probably well served with
some of the books available on R. Among these, I too found Venables
and Ripley a good read, as they give you some depth on S the language,
rather than talking about "101 wonderful things you can do with R".
--
Johannes H?sing There is something fascinating about
science.
One gets such wholesale returns of
conjecture
mailto:johannes at huesing.name from such a trifling investment of fact.
http://derwisch.wikidot.com (Mark Twain, "Life on the
Mississippi")
______________________________________________ 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.
View this message in context: http://n4.nabble.com/Learning-R-tp931099p931626.html Sent from the R help mailing list archive at Nabble.com.
Data Analysis and Graphics Using R - An Example-Based Approach John Maindonald and John Braun 2nd edn, Cambridge University Press, January 2007
susan jacobs wrote:
Hi, im working in R but honestly i don t know how to apply the formulas in my problem, can someone give some help? I already learn how we use the formulas but im not understanding the main issue in my problem. Johannes Huesing wrote:
Esmail <esmail.js at gmail.com> [Mon, Nov 30, 2009 at 01:07:15PM CET]:
ps: Just checked, 'R in a Nutshell':
http://oreilly.com/catalog/9780596801717
release date dec 2009/jan 2010
You can't really judge a book by its cover, and in this case not even
the cover is presented to us. But judging by the author's background,
I'd presume that you are likely to get a computer scientist's intro
to R. This is an angle that very few books have taken so far ... most
are written by statisticians who write from the problem solving point
of view. If you are a statistician, you are probably well served with
some of the books available on R. Among these, I too found Venables
and Ripley a good read, as they give you some depth on S the language,
rather than talking about "101 wonderful things you can do with R".
--
Johannes H?sing There is something fascinating about
science.
One gets such wholesale returns of
conjecture
mailto:johannes at huesing.name from such a trifling investment of fact.
http://derwisch.wikidot.com (Mark Twain, "Life on the
Mississippi")
______________________________________________ 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.
View this message in context: http://n4.nabble.com/Learning-R-tp931099p931666.html Sent from the R help mailing list archive at Nabble.com.