I am particularly interested in book for beginner - an introduction for computational statistics concerning R.
If you are interested in statistical learning using R, one of the best book for beginners is:
Available for free here: http://www-bcf.usc.edu/~gareth/ISL/
Other recommended books are:
For learning R programming as a beginner:
Because you said introduction I can recommend you many web sites which could return after a search like "R tutorial" on search engines.
I can recommend you the book R in Action by Robert I.Kabacoff.
There are many other books for beginners too, you can access them through search option in RG by searching among previous threads.
It probably depends on what background you already have (other programming languages, mathematical literacy), and what your scope / application is. If you search google/amazon, you get books introducing statistics using R, and books introducing R programming using statistics examples. You get large compendia covering the whole language and shorter application notes on almost any topic, using R to solve specific problems. There are whole books about only specific add-on packages for R.
Statistics: An Introduction using R (Michael J Crawley)
Discovering Statistics using R (Andy Field et al.)
Hands-on programming with R (Garrett Grolemund)
The R cookbook (Paul Teetor)
...to name a very few. And of course, there is extensive online documentation, including many tutorial and example sites, and answers to be found for almost any problem you might run into (and forums to ask about new obstacles you might encounter).
Dear Martin,
I am looking for rather the books introducing R programming using statistics examples. I have also strongly background according to statistic method. I am not particulary familiar with programming.
With best regards.
There are also courses on Coursera and Edx.
It might be more effective to take a beginning course in any programming language that you can. While the syntax is unique to R, the basic structures are common to all higher level computer languages (not Machine language or Assembly language). So the real issue is developing the skill to break a complex problem down into a series of small steps .... really really small steps. I would go with things like "Introduction to Basic programming" or "Introduction to C programming." Any language should work as long as the goal of the class is to teach programming. It is easy to write bad code, it is very difficult to program well. To write efficient error free code.
My issue is that I am having trouble with syntax, especially with input-output and data types. So I am not looking at these courses for either programming skills nor statistical methods. Thus I have trouble advising which one you should take.
Hi Anna,
I'd say if you know the maths and are just looking to get into programming, even the basic "Introduction to R" and "R language definition" from the official R site (https://cran.r-project.org/manuals.html) are good enough to get you started. All you really need to know are basics like data types, control structures, functions,... and the specific nomenclature that R uses for these - then it's a lot of playing around and trial and error. As long as you know what 'the thing' is called that does not work in your code, and have even a faint inkling of why, you WILL find a solution by googling! There is a huge community using R, everyone started some time - welcome to the club!
Dear Martin,
Thank you for your advised.
What do you think how could it approximate take me to learn the basic of R - I am familiar with statistic and I know a little bit about programming.
You need to learn basic data types(vectors, matrices) at first and syntax.
If you are interested in statistical learning using R, one of the best book for beginners is:
Available for free here: http://www-bcf.usc.edu/~gareth/ISL/
Other recommended books are:
For learning R programming as a beginner:
Yes the above recommended books are good. But to me one of the best place to learn r is through online classes especially at https://www.datacamp.com
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