Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 26,94
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: 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.
Anbieter: medimops, Berlin, Deutschland
Zustand: 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.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 40,03
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 203 pages. 9.00x7.00x0.50 inches. In Stock.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.