Not really a SAS question. If you type "R" (capital r) in Google, you'll get their website http://www.r-project.org/. The faq explains what R is. Basically, it's a statistical programming language. It's more flexible but more complex and harder to learn and to use than statistical packages like SAS, SPSS, Stata. On the other hand, there are a lot of cutting edge techniques available on R that aren't available anywhere else. It's a good option if you want to experiment with new techniques, develop your own, or if you're on a low budget.
On 7 Set, 07:50, zencaroline <zencarol...@gmail.com> wrote:
> Hello,
> At your possible convenience, might any expert please kindly answer > my equestions? Thank you very much. > I am suggested to use "R".
> 1) What is "R"?
> 2) Is it difficult to learn "R"?
> Thank you very much.
> Please take care
> Caroline
R is a free version of S-Plus. If you program in R then you use the program in S-Plus it works ... usually. Imho S-Plus is a great statistical package and one of its strength is the graphical part. The difference is that s-Plus is more near to SPSS as interface, R to SAS. You can found a lot of specifical techinchs developed by someone and put at disposition on internet. Learning R is not too difficult, but it's better to use directely on a project and learning on the field The strength of R is being free. I don't know, but I would, if is comparable to SAS for managing big data set
Dnia Fri, 07 Sep 2007 05:50:06 -0000 zencaroline <zencarol...@gmail.com> napisa³(a):
> At your possible convenience, might any expert please kindly answer > my equestions? Thank you very much. > I am suggested to use "R".
For what? Why R?
> 1) What is "R"?
A programming language bases on S language developed Insightful company.
> 2) Is it difficult to learn "R"?
It depends on the level you would like to use R. On the basic level no, on advanced yes. According to me it is not very difficult but has some peculiarities one should be aware of.
Best regards -- [ Wit Jakuczun <W.Jakuczun [at] wlogsolutions.com> ] [ WLOG Solutions http://www.wlogsolutions.com ] [ Short offer: data mining, operational research, time series forecasting, consulting ]
Dnia Thu, 06 Sep 2007 23:40:00 -0700 "ckxp...@yahoo.com" <ckxp...@yahoo.com> napisa³(a):
> Not really a SAS question. If you type "R" (capital r) in Google, > you'll get their website http://www.r-project.org/. The faq explains > what R is. Basically, it's a statistical programming language.
It is a regular programming language with some syntactic sugars for data processing.
> It's a good option if you want to experiment with new techniques, > develop your own, or if you're on a low budget.
R could also be used as a efficient scripting language for not-that-low-budget systems.
Best regards -- [ Wit Jakuczun <W.Jakuczun [at] wlogsolutions.com> ] [ WLOG Solutions http://www.wlogsolutions.com ] [ Short offer: data mining, operational research, time series forecasting, consulting ]
> It depends on the level you would like to use R. On the basic level > no, on advanced yes. According to me it is not very difficult but > has some peculiarities one should be aware of.
For those who haven't heard, SPSS 16, shipping soon, lets you integrate R into SPSS as well as Python. You can run R programs within your SPSS syntax that read and write SPSS datasets. The R output goes in the SPSS Viewer as plain text or pivot tables, and R programs can read SPSS output (captured via OMS) and use it for further computation.
There are about 30 apis that SPSS has implemented for use in the R program within SPSS.
I will be talking about some of this at the upcoming SPSS Directions conference in Orlando at the end of October (www.spss.com).
i agree about its complexity. r is not user-friendly. too bad, there are many very good analytical programs attached to it. which the r team can come up with a windows version.
nocturnal elephant wrote: > i agree about its complexity. r is not user-friendly. too bad, there > are many very good analytical programs attached to it. which the r > team can come up with a windows version.
Err, there is a Windows version. I use it on my laptop, which runs Windows.
Anon. wrote: > nocturnal elephant wrote: >> i agree about its complexity. r is not user-friendly. too bad, there >> are many very good analytical programs attached to it. which the r >> team can come up with a windows version.
> Err, there is a Windows version. I use it on my laptop, which runs > Windows.
Bruce Weaver wrote: > Anon. wrote: >> nocturnal elephant wrote: >>> i agree about its complexity. r is not user-friendly. too bad, there >>> are many very good analytical programs attached to it. which the r >>> team can come up with a windows version.
>> Err, there is a Windows version. I use it on my laptop, which runs >> Windows.
Actually R is relatively easy to learn, especially if you've done SAS before or are familiar with object oriented programming. A great reference book, kind of the best basic tutorial I've found is Crawley's book on an intro stats with R (it's very well written and easy to follow for any skill level --> I used it as a textbook while teaching stat computing for non-stat people) he also has the R book, which I recently bought that has a lot more info, and is still well written. good luck
nocturnal elephant wrote: > i agree about its complexity. r is not user-friendly. too bad, there > are many very good analytical programs attached to it. which the r > team can come up with a windows version.
> zencaroline wrote: >> Hello,
>> At your possible convenience, might any expert please kindly answer >> my equestions? Thank you very much. >> I am suggested to use "R".
> i agree about its complexity. r is not user-friendly. too bad, there > are many very good analytical programs attached to it. which the r > team can come up with a windows version.
> zencaroline wrote:
>> 2) Is it difficult to learn "R"?
A vote of disagreement. In my experience it was far easier to learn than SAS and far easier to manage real data than with Minitab. I found it comparable to GLIM for difficulty in learning.
