BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Using R and Rstudio For Data Management, Statistical Analysis and Graphics

Using R and Rstudio For Data Management, Statistical Analysis and Graphics

Using R and Rstudio For Data Management, Statistical Analysis and Graphics
Stock photo: cover may vary

Using R and Rstudio For Data Management, Statistical Analysis and Graphics Hardback - 2015

by Horton, Ken Kleinman; Nicholas J,

Add to wish list
  • Used
New

Description

like new.
Ask the seller a question Add to wish list
A$175.26
A$5.76 Delivery within USA
Standard delivery: 2 to 14 days
More delivery options
Ships from GreatBookPrices (Maryland, United States)
The BIBLIO Guarantee

Details

  • Title Using R and Rstudio For Data Management, Statistical Analysis and Graphics
  • Author Horton, Ken Kleinman; Nicholas J,
  • Binding Hardback
  • Edition 2nd Revised
  • Condition New
  • Pages 314
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2015-03-10
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Maps
  • Bookseller's Inventory # 22640455
  • ISBN 9781482237368 / 1482237369
  • Weight 1.7 lbs (0.77 kg)
  • Dimensions 10 x 7 x 0.8 in (25.40 x 17.78 x 2.03 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Mathematics
  • Library of Congress subjects Mathematical statistics - Data processing, R (Computer program language) - Statistical
  • Library of Congress Catalogue Number 2015297252
  • Dewey Decimal Code 005.55
  • Quantity available 5

About GreatBookPrices Maryland, United States

Biblio member since 2024

Since 1991, we have worked every day to serve our customers with state-of-the-art technology and world class service. We are dedicated to providing customers around the world with the widest selection of books, DVDs, and CDs at the absolute lowest price.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from GreatBookPrices

Reader reviews for Using R and Rstudio For Data Management, Statistical Analysis and Graphics

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

Improve Your Analytical Skills

Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the book's simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information.

New to the Second Edition

  • The use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflows
  • New chapter of case studies illustrating examples of useful data management tasks, reading complex files, making and annotating maps, "scraping" data from the web, mining text files, and generating dynamic graphics
  • New chapter on special topics that describes key features, such as processing by group, and explores important areas of statistics, including Bayesian methods, propensity scores, and bootstrapping
  • New chapter on simulation that includes examples of data generated from complex models and distributions
  • A detailed discussion of the philosophy and use of the knitr and markdown packages for R
  • New packages that extend the functionality of R and facilitate sophisticated analyses
  • Reorganized and enhanced chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots

Easily Find Your Desired Task

Conveniently organized by short, clear descriptive entries, this edition continues to show users how to easily perform an analytical task in R. Users can quickly find and implement the material they need through the extensive indexing, cross-referencing, and worked examples in the text. Datasets and code are available for download on a supplementary website.

About the author

Nicholas J. Horton is a professor of statistics at Amherst College. His research interests include longitudinal regression models and missing data methods, with applications in psychiatric epidemiology and substance abuse research.

Ken Kleinman is an associate professor in the Department of Population Medicine at Harvard Medical School. His research deals with clustered data analysis, surveillance, and epidemiological applications in projects ranging from vaccine and bioterrorism surveillance to observational epidemiology to individual-, practice-, and community-randomized interventions.

Please wait a moment while we load the requested page.

tracking-