Seller: HPB-Red, Dallas, TX, U.S.A.
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Seller: Scissortail, Oklahoma City, OK, U.S.A.
Condition: very_good. This is a well-cared-for used book with light signs of previous use. There may be minor cover wear, a faint crease, or slight spine wear, but overall it's in great shape and fully readable.Please note:-May contain library or rental stickers.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not include original exterior box.-Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by O'Reilly Media 1/2/2017, 2017
ISBN 10: 1491950781 ISBN 13: 9781491950784
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Efficient R Programming: A Practical Guide to Smarter Programming. Book.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 35.14
Quantity: 2 available
Add to basketCondition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 37.62
Quantity: 2 available
Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by Oreilly & Associates Inc, 2017
ISBN 10: 1491950781 ISBN 13: 9781491950784
Seller: Revaluation Books, Exeter, United Kingdom
US$ 45.42
Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 203 pages. 9.00x7.00x0.50 inches. In Stock.
Language: English
Published by O'reilly Media Jan 2017, 2017
ISBN 10: 1491950781 ISBN 13: 9781491950784
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectivelyuntil now. This hands-on book teaches novices and experienced R users how to write efficient R code.Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topicsfrom optimizing the set-up of RStudio to leveraging C++that make this book a useful addition to any R user's bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming.- Get advice for setting up an R programming environment- Explore general programming concepts and R coding techniques- Understand the ingredients of an efficient R workflow- Learn how to efficiently read and write data in R- Dive into data carpentrythe vital skill for cleaning raw data- Optimize your code with profiling, standard tricks, and other methods- Determine your hardware capabilities for handling R computation- Maximize the benefits of collaborative R programming- Accelerate your transition from R hacker to R programmer.