--- On Wed, 27/8/08, saggak <saggak1908@yahoo.co.in> wrote: From: saggak <saggak1908@yahoo.co.in> Subject: How to learn R language? To: r-help@r-project.org Date: Wednesday, 27 August, 2008, 3:37 PM Hi! I am a post graduate in Statistics. I want to learn R language, but am very confused as to how to begin systematically. I need to learn R language from Statistics point of view e.g. I need to fit distributions to data or run regression analysis etc. No doubt there are so many articles available on internet. But can someone guide me as to how do I begin and go on improving myself SYSTEMATICALLY? Hence, please guide me as to how should I start learning R language? What should I read first etc. Thanks in advance, Sagga K Unlimited freedom, unlimited storage. Get it now Unlimited freedom, unlimited storage. Get it now, on http://help.yahoo.com/l/in/yahoo/mail/yahoomail/tools/tools-08.html/ [[alternative HTML version deleted]]
I am sure that there are as many ways as people, but this is what I did. MASS 4, Simple R (internet), and this list. I taught myself and it may have been easier to have a guide as this would have cut the learning curve down, but this is not essential. Find out what you need to do, do the examples or vigenettes that come along with the function you would like to use, cuss a lot, and repeat. I am a biologist and never thought I would be programing, but I am now literate enough to solve the problems that present themselves. good luck and welcome Stephen On Wed, Aug 27, 2008 at 7:27 AM, saggak <saggak1908 at yahoo.co.in> wrote:> > > --- On Wed, 27/8/08, saggak <saggak1908 at yahoo.co.in> wrote: > > From: saggak <saggak1908 at yahoo.co.in> > Subject: How to learn R language? > To: r-help at r-project.org > Date: Wednesday, 27 August, 2008, 3:37 PM > > > > > > > Hi! > > I am a post graduate in Statistics. I want to learn R language, but am very confused as to how to begin systematically. I need to learn R language from Statistics point of view e.g. I need to fit distributions to data or run regression analysis etc. No doubt there are so many articles available on internet. But can someone guide me as to how do I begin and go on improving myself SYSTEMATICALLY? > > Hence, please guide me as to how should I start learning R language? What should I read first etc. > > Thanks in advance, > > Sagga K > > > > Unlimited freedom, unlimited storage. Get it now > > > Unlimited freedom, unlimited storage. Get it now, on http://help.yahoo.com/l/in/yahoo/mail/yahoomail/tools/tools-08.html/ > [[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. >-- Stephen Sefick Research Scientist Southeastern Natural Sciences Academy Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis
saggak wrote:> Hi! > > I am a post graduate in Statistics. I want to learn R language, but am very confused as to how to begin systematically. I need to learn R language from Statistics point of view e.g. I need to fit distributions to data or run regression analysis etc. No doubt there are so many articles available on internet. But can someone guide me as to how do I begin and go on improving myself SYSTEMATICALLY? > > Hence, please guide me as to how should I start learning R language? What should I read first etc. > > Thanks in advance, > > Sagga K >It depends on your starting point, of course. Whether you have a background with other statistical packages and/or with programming languages like C, etc. Quite a few people have started from the intro manual that ships with R (and its predecessor for S-PLUS). There are quite a few books out, see for instance http://www.r-project.org/doc/bib/R-books.html (thanks for reminding me that the info for my own book needs to be updated for the 2nd ed., by the way...), and freely available documents in http://cran.r-project.org/other-docs.html. -- O__ ---- Peter Dalgaard ?ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
I'm not a statistician so my approach may not make sense for you but I'd suggests having a look at Bob Muenchen's R for SAS and SPSS users in pdf form (very useful) or his new book with the same title (which I have not seen yet) for a start. http://rforsasandspssusers.com/ If you want some very, very basic things I'd suggest having a look at the tutorial at http://www.math.ilstu.edu/dhkim/Rstuff/Rtutor.html After that there are any number of useful references and on-line materials available through the R site. Have a look at Books and Other on the left hand side of the page. If you can get them, I'd suggest having a look at Peter Dalgaard's Introductory Statistics with R or John Verzani's Simple R. The stats may be simple for you but the organized treatment of how to use these stats in R is very valuable. The Introduction to R is very good but, at the risk of being accused of heresy, I'd suggest that it is much better if you read it after you get a feeling for the language. It also should be downloaded and read in the PDF format. Read the FAQ carefully, especially Section 7. Section 7 highlights a lot of little things that can confuse a new user and reading it can save you hours of pounding your head against the wall.> From: saggak <saggak1908 at yahoo.co.in> > Subject: How to learn R language? > To: r-help at r-project.org > Date: Wednesday, 27 August, 2008, 3:37 PM > > Hi! > > I am a post graduate in Statistics. I want to learn R > language, but am very confused as to how to begin > systematically. I need to learn R language from Statistics > point of view e.g. I need to fit distributions to data or > run regression analysis etc. No doubt there are so many > articles available on internet. But can someone guide me as > to how do I begin and go on improving myself SYSTEMATICALLY? > > Hence, please guide me as to how should I start learning R > language? What should I read first etc. > > Thanks in advance, > > Sagga K__________________________________________________________________ [[elided Yahoo spam]]
While agreeing with how good the texts that have been suggested are, the questions to me (language + systematic) suggests Braun and Murdoch " A first course in statistical programming" or/and Chambers " Software for data analysis: programming with R" These would seem to take you through developing an understanding of language fundamentals, in a more structured manner than the other books mentioned. Graham 2008/8/27 saggak <saggak1908 at yahoo.co.in>:> > > --- On Wed, 27/8/08, saggak <saggak1908 at yahoo.co.in> wrote: > > From: saggak <saggak1908 at yahoo.co.in> > Subject: How to learn R language? > To: r-help at r-project.org > Date: Wednesday, 27 August, 2008, 3:37 PM > > > > > > > Hi! > > I am a post graduate in Statistics. I want to learn R language, but am very confused as to how to begin systematically. I need to learn R language from Statistics point of view e.g. I need to fit distributions to data or run regression analysis etc. No doubt there are so many articles available on internet. But can someone guide me as to how do I begin and go on improving myself SYSTEMATICALLY? > > Hence, please guide me as to how should I start learning R language? What should I read first etc. > > Thanks in advance, > > Sagga K > > > > Unlimited freedom, unlimited storage. Get it now > > > Unlimited freedom, unlimited storage. Get it now, on http://help.yahoo.com/l/in/yahoo/mail/yahoomail/tools/tools-08.html/ > [[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. >