Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.
The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.
"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."
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Based on 6 Ratings
"Good introduction to R + reference..." - by Alex Ott on 24-AUG-2012
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Good introduction to R + reference...
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"A good introduction and reference" - by lotterblad on 24-MAY-2012
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Whether you're experienced with an existing software package(like Matlab or SAS) Joseph Adler's R in Nutshell provides an excellent introduction and reference guide to R.
I mostly use R for research work and thus needed to know, how do I get data in and out of R? How to I download packages and apply functions? How do I create and use objects in R? R in a nutshell contained helpful concise guides that answered each of these questions.
The author has written a package(nutshell) with included examples, making it easy to test the code examples.
The latter chapters I'm referring back to now as I'm getting more into the machine learning side of R. Overall, I'd recommend this book to those just getting started or transitioning to R.
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Information Technology & Software Development
Sub-Categories:
Information Technology & Software Development > Programming
Programming > R
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