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Sams Teach Yourself R in 24 Hours
In just 24 lessons of one hour or less, Sams Teach Yourself R in 24 Hours helps you learn all the R skills you need to solve a wide spectrum of real-world data analysis problems. You&;ll master the entire data analysis workflow, learning to build code that&;s efficient, reproducible, and suitable for sharing with others.
This book&;s straightforward, step-by-step approach teaches you how to import, manipulate, summarize, model, and plot data with R; formalize your analytical code; and build powerful R packages using current best practices. Practical, hands-on examples show you how to apply what you learn.
Quizzes and exercises help you test your knowledge and stretch your skills. Learn How To Register your book at informit.com/register for convenient access to updates and corrections as they become available. This book&;s source code can be found at
This book&;s straightforward, step-by-step approach teaches you how to import, manipulate, summarize, model, and plot data with R; formalize your analytical code; and build powerful R packages using current best practices. Practical, hands-on examples show you how to apply what you learn.
Quizzes and exercises help you test your knowledge and stretch your skills. Learn How To Register your book at informit.com/register for convenient access to updates and corrections as they become available. This book&;s source code can be found at
601 pages, Paperback
First published December 28, 2015
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Displaying 1 of 1 review
December 21, 2018
This is one of those books that I added to 'currently reading' on the premise that I would read this 'cover-to-cover', but it's not that type of book.
There are very few books I own on computer programming, indeed if that is what R is? Some call it a software environment which I think encompasses the notion of programming. Anyway, I tend to source most of my help information via the web - so a rare purchase. In fact, I only own this and 'Statistics: an introduction using R' by Crawley an excellent book for learning about R and statistics!
I have read the chapters on data.table and RMarkdown packages and these provide a robust background to their use and operation. The format is particularly easy to follow with brief and detailed contents -meaning you can locate the topic you want quickly. Overall, I think particularly useful if you are an R newbie - will save you getting into bad habits and likely teach some shortcuts that will get you up to speed quickly. Recommended!
There are very few books I own on computer programming, indeed if that is what R is? Some call it a software environment which I think encompasses the notion of programming. Anyway, I tend to source most of my help information via the web - so a rare purchase. In fact, I only own this and 'Statistics: an introduction using R' by Crawley an excellent book for learning about R and statistics!
I have read the chapters on data.table and RMarkdown packages and these provide a robust background to their use and operation. The format is particularly easy to follow with brief and detailed contents -meaning you can locate the topic you want quickly. Overall, I think particularly useful if you are an R newbie - will save you getting into bad habits and likely teach some shortcuts that will get you up to speed quickly. Recommended!
Displaying 1 of 1 review