Exploratory Data Analysis with R

Exploratory Data Analysis with R None

  • Title: Exploratory Data Analysis with R
  • Author: Roger D. Peng
  • ISBN: -
  • Page: 222
  • Format: ebook
  • None

    • Best Read [Roger D. Peng] ↠ Exploratory Data Analysis with R || [Horror Book] PDF ↠
      222 Roger D. Peng
    • thumbnail Title: Best Read [Roger D. Peng] ↠ Exploratory Data Analysis with R || [Horror Book] PDF ↠
      Posted by:Roger D. Peng
      Published :2019-05-21T10:30:46+00:00

    2 thoughts on “Exploratory Data Analysis with R

    1. Roger D. Peng Is a well-known author, some of his books are a fascination for readers like in the Exploratory Data Analysis with R book, this is one of the most wanted Roger D. Peng author readers around the world.

    2. Complete with ample examples and graphics, this quick read is highly useful and accessible to all novice R users looking for a clear, solid explanation of doing exploratory data analysis with R. Though the author doesn't go into the more advanced functions, the analytic framework outlined in the book provides a good foundation to build upon with repeated practices.

    3. hmm, good book to show the R capabilities in Exploration analysis , I recommend to read about "Principal Component Analysis" & "Singular Value decomposition" before dealing with R, R provide you straight forward functions and do all job for you, but from my physics background, if you understand microscopic view you will easily understand the Macroscopic view.but definitely I recommend this book for R beginners like me :), just thought it will dig deeply into exploration analysis.

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