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Language: en
Pages: 281
Pages: 281
Get started computing with data. Learn general principles while learning R - now including the tidyverse.
Language: en
Pages: 833
Pages: 833
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no pr
Language: en
Pages:
Pages:
Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users thro
Language: en
Pages: 192
Pages: 192
Get outside! A hands-on lab manual for instructors incorporating fieldwork into their courses on mammalogy. Mammals inhabit nearly every continent and every sea
Language: en
Pages: 206
Pages: 206
Language: en
Pages: 496
Pages: 496
Provides a comprehensive introduction to probability with an emphasis on computing-related applications This self-contained new and extended edition outlines a
Language: en
Pages: 447
Pages: 447
The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business econom
Language: en
Pages: 660
Pages: 660
This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical
Language: en
Pages: 248
Pages: 248
"Write Your Own Functions and Simulations."--Cover.
Language: en
Pages: 302
Pages: 302
In comparison with the first edition of the book, this second edition contains additional topics such as power, sample size computation and non-parametric metho
