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R in 24 Hours, Sams Teach Yourself
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 S3, S4, and Reference Classes Use R to generate dynamic reports Build web applications with Shiny Register your book at informit.com/register for convenient access to updates and corrections as they become available.
This book’s source code can be found at
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 S3, S4, and Reference Classes Use R to generate dynamic reports Build web applications with Shiny Register your book at informit.com/register for convenient access to updates and corrections as they become available.
This book’s source code can be found at
400 pages, Kindle Edition
First published December 28, 2015
13 people are currently reading
10 people want to read
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Displaying 1 of 1 review
December 21, 2018
This is one of those books that I added to 'currently reading' on the premise that I would read this 'cover-to-cover', but it's not that type of book.
There are very few books I own on computer programming, indeed if that is what R is? Some call it a software environment which I think encompasses the notion of programming. Anyway, I tend to source most of my help information via the web - so a rare purchase. In fact, I only own this and 'Statistics: an introduction using R' by Crawley an excellent book for learning about R and statistics!
I have read the chapters on data.table and RMarkdown packages and these provide a robust background to their use and operation. The format is particularly easy to follow with brief and detailed contents -meaning you can locate the topic you want quickly. Overall, I think particularly useful if you are an R newbie - will save you getting into bad habits and likely teach some shortcuts that will get you up to speed quickly. Recommended!
There are very few books I own on computer programming, indeed if that is what R is? Some call it a software environment which I think encompasses the notion of programming. Anyway, I tend to source most of my help information via the web - so a rare purchase. In fact, I only own this and 'Statistics: an introduction using R' by Crawley an excellent book for learning about R and statistics!
I have read the chapters on data.table and RMarkdown packages and these provide a robust background to their use and operation. The format is particularly easy to follow with brief and detailed contents -meaning you can locate the topic you want quickly. Overall, I think particularly useful if you are an R newbie - will save you getting into bad habits and likely teach some shortcuts that will get you up to speed quickly. Recommended!
Displaying 1 of 1 review