Using r for Introductory Statistics download free [PDF and Ebook] by John Verzani

Using r for Introductory Statistics download free [PDF and Ebook] by John Verzani year 2014
  • Book name: Using r for Introductory Statistics
  • Author: John Verzani
  • Release date: 2014/5/9
  • Publisher: TAYLOR & FRANCIS INC
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9781466590731
  • Rating: 8.52 of 10
  • Votes: 144
  • Review by: Ailani Hoffman
  • Review rating: 8.71 of 10
  • Review Date: 2018/10/4
  • Total pages: 518
  • Includes a PDF summary of 47 pages
  • Description or summary of the book: The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.See What's New in the Second Edition:Increased emphasis on more idiomatic R provides a grounding in the functionality of base R.Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible.Use of knitr package makes code easier to read and therefore easier to reason about.Additional information on computer-intensive approaches motivates the traditional approach.Updated examples and data make the information current and topical.The book has an accompanying package, UsingR, available from CRAN, R's repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package='UsingR')), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text.The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
  • Estimated reading time (average reader): 34H49M15S
  • Other categories, genre or collection: Probability & Statistics, Mathematical & Statistical Software
  • Available formats: HTML, BMP, WORD, TXT, DOC, PDF, OEB, EPUB. Compressed in TAR, ZIP, RAR, TAR.7Z, CBR, DEB, BZ2
  • Download servers: 4Shared, BitShare, LimeTorrents, Google Drive, Uploaded
  • Format: Hardback
  • Approximate value: 74.88 USD
  • Dimensions: 156x235x22.86mm
  • Weight: 896g
  • Printed by: CRC Press Inc
  • Published in: Bosa Roca, United States

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