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29%OFFJoseph Schmuller - Statistical Analysis with R For Dummies - 9781119337065 - V9781119337065
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Statistical Analysis with R For Dummies

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Description for Statistical Analysis with R For Dummies paperback. Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. Num Pages: 456 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Weight in Grams: 666.
Understanding the world of R programming and analysis has never been easier

Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming.

People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the ... Read more

  • Gets you up to speed on the #1 analytics/data science software tool
  • Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling
  • Shows you how R offers intel from leading researchers in data science, free of charge
  • Provides information on using R Studio to work with R

Get ready to use R to crunch and analyze your data—the fast and easy way!

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Product Details

Publisher
For Dummies
Format
Paperback
Publication date
2017
Condition
New
Number of Pages
464
Place of Publication
, United States
ISBN
9781119337065
SKU
V9781119337065
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-5

About Joseph Schmuller
Joseph Schmuller, PhD, has taught undergraduate and graduate statistics, and has 25 years of IT experience. The author of four editions of Statistical Analysis with Excel For Dummies and three editions of Teach Yourself UML in 24 Hours (SAMS), he has created online coursework for Lynda.com and is a former Editor in Chief of PC AI magazine. He is a ... Read more

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