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Learning Base R, by Lawrence Mark Leemis
Download PDF Learning Base R, by Lawrence Mark Leemis
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R is an open source programming language and interactive programming environment that has become the software tool of choice in data analytics. Learning Base R provides an introduction to the language for those with and without prior programming experience. It introduces the key topics that you will need to begin analyzing data and programming in R. The focus here is on the R language rather than a particular application. Nearly 200 exercises allow you to assess your understanding of R.
- Sales Rank: #180977 in Books
- Published on: 2015-07-08
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .58" w x 7.01" l, 1.06 pounds
- Binding: Paperback
- 274 pages
Most helpful customer reviews
4 of 4 people found the following review helpful.
Must read!!
By NK Kim
This book is an excellent introduction to R. I have been teaching computing courses in a biostatistics department such as an introductory computing course for SAS and R, and an advanced statistical computing course on simulation and numerical methods. Just as the book title indicates, it covers basic concepts of the R programming environment. Its step-by-step approach with short chapters will benefit anyone who is new to R, particularly readers with no prior programming experiences. Each chapter contains thought-provoking exercises, which will help readers fully understand the subject. Moreover, many readers will actually enjoy working on exercises. It also discusses useful programming tips such as styles of object names, avoiding certain object names like "T", and an illustration of debugging tools. The chapters end with a summary and a summary of functions, which demonstrate an excellent pedagogical skill of the author. As a biostatistician, I may wish to see more statistical and biostatistical examples and exercises, but for learning base R, I think the current treatment is as good as it gets to serve readers with a various backgrounds such as mathematics, science, engineering, social science, finance, and management, etc. I plan to use the materials of this book in the computing course that I am scheduled to teach. This is a kind of book that I wish I had read it when I was a student. I applaud the author for his excellent contribution.
1 of 1 people found the following review helpful.
Five Stars
By scp
Best intro to R that I've seen to date!
0 of 12 people found the following review helpful.
One Star
By Amazon Customer
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