[R] Learning R

[DispersionMap]

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 Hüsing               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.
>> 
>> 
> 
> 

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