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R in 24 Hours, Sams Teach Yourself

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by Andy Nicholls & Richard Pugh & Aimee Gott
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R in 24 Hours, Sams Teach Yourself by Andy Nicholls & Richard Pugh & Aimee Gott

In just 24 lessons of one hour or less, Sams Teach Yourself R in 24 Hours helps you learn all the R skills you need to solve a wide spectrum of real-world data analysis problems. You??ll master the entire data analysis workflow, learning to build code that??s efficient, reproducible, and suitable for sharing with others.

This book??s straightforward, step-by-step approach teaches you how to import, manipulate, summarize, model, and plot data with R; formalize your analytical code; and build powerful R packages using current best practices.

Practical, hands-on examples show you how to apply what you learn.
Quizzes and exercises help you test your knowledge and stretch your skills.

Learn How To

  • Install, configure, and explore the R environment, including RStudio
  • Use basic R syntax, objects, and packages
  • Create and manage data structures, including vectors, matrices, and arrays
  • Understand lists and data frames
  • Work with dates, times, and factors
  • Use common R functions, and learn to write your own
  • Import and export data and connect to databases and spreadsheets
  • Use the popular tidyr, dplyr and data.table packages
  • Write more efficient R code with profiling, vectorization, and initialization
  • Plot data and extend your graphical capabilities with ggplot2 and Lattice graphics
  • Develop common types of models
  • Construct high-quality packages, both simple and complex
  • Write R classes: S3, S4, and Reference Classes
  • Use R to generate dynamic reports
  • Build web applications with Shiny

Register your book at for convenient access to updates and corrections as they become available.

This book??s source code can be found at

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Ebook Details
Pages: 400
Size: 48.9 MB
Publisher: Sams Publishing
Date published:   2015
ISBN: 9780134288802 (DRM-EPUB)
9780134288840 (DRM-PDF)

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Nonfiction > Computers > Programming Languages
Nonfiction > Computers > Database Management > Database Mining

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Nonfiction > Social Science > Social Work
Nonfiction > Computers > Programming Languages
Nonfiction > Computers > Database Management > Database Mining

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