Xem 1-6 trên 6 kết quả R graphics cookbook
  • This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works. Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to get started....

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  • Authors Samuel Erskine (MCT) Anders Asp (MVP) Andreas Baumgarten (MVP) Steve Beaumont Dieter Gasser Reviewers Stefan Allansson Steve Buchanan Wayne Robinson Acquisition Editor Andrew Duckworth Lead Technical Editor Dayan Hyames Technical Editors Joyslita D'Souza Pooja Pande Proofreaders Elinor Perry-Smith Lesley Harrison Indexer Tejal R. Soni Graphics Valentina D'silva Aditi Gajjar Production Coordinators Prachali Bhiwandkar Manu Joseph Cover Work Prachali Bhiwandkar Project Coordinator Abhishek Kori...

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  • Authors Jonathan R. Owens Jon Lentz Brian Femiano Reviewers Edward J. Cody Daniel Jue Bruce C. Miller Acquisition Editor Robin de Jongh Lead Technical Editor Azharuddin Sheikh Technical Editor Dennis John Copy Editors Brandt D'Mello Insiya Morbiwala Aditya Nair Alfida Paiva Ruta Waghmare Proofreader Stephen Silk Indexer Monica Ajmera Mehta Graphics Conidon Miranda Layout Coordinator Conidon Miranda Cover Work Conidon Miranda Project Coordinator Abhishek Kori

    pdf316p trac2_123 11-04-2013 32 9   Download

  • R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.

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  • With more than two million users worldwide, R is one of the most popular open source projects. It is a free and robust statistical programming environment with very powerful graphical capabilities. Analyzing and visualizing data with R is a necessary skill for anyone doing any kind of statistical analysis, and this book will help you do just that in the easiest and most efficient way possible.

    pdf272p 0987691535 20-09-2013 28 2   Download

  • Author Ivan Idris Reviewers Lorenzo Bolla Seth Brown John Douglas Finn Arup Nielsen Ryan R. Rosario Stefan Scherfke Senior Acquisition Editor Usha Iyer Development Editor Hyacintha D'Souza Technical Editors Apoorva Bolar Aaron Rosario Indexer Tejal Daruwale Graphics Valentina D'silva Production Coordinator Aparna Bhagat Cover Work Aparna Bhagat Copy Editor Brandt D'Mello Project Coordinator Srimoyee Ghoshal Proofreader Stephen Swaney

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