Book Image

Learning RStudio for R Statistical Computing

Book Image

Learning RStudio for R Statistical Computing

Overview of this book

Data is coming at us faster, dirtier, and at an ever increasing rate. The necessity to handle many, complex statistical analysis projects is hitting statisticians and analysts across the globe. This book will show you how to deal with it like never before, thus providing an edge and improving productivity. "Learning RStudio for R Statistical Computing" will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. R developers will learn about package development, coding principles, and version control with RStudio. This book will help you to learn and understand RStudio features to effectively perform statistical analysis and reporting, code editing, and R development. The book starts with a quick introduction where you will learn to load data, perform simple analysis, plot a graph, and generate automatic reports. You will then be able to explore the available features for effective coding, graphical analysis, R project management, report generation, and even project management. "Learning RStudio for R Statistical Computing" is stuffed with feature-rich and easy-to-understand examples, through step-by-step instructions helping you to quickly master the most popular IDE for R development.
Table of Contents (13 chapters)

LaTeX


The workflow for building a LaTeX-based report is very similar to creating Markdown or HTML reports, but of course you need to know how to work with LaTeX. Create a new .Rnw file through File | New | R Sweave. RStudio will open a LaTeX template in the article document format. Code chunks are delimited by the <<>>=@ syntax (see the Code chunks section for options) and you can compile the .Rnw file to pdf via File | Compile pdf, by clicking on the PDF menu button on the file editor tab, or by hitting Ctrl + Shift + I. Inline R code should be enclosed in the \Sexp{} command. Here's a minimal example of a .Rnw file and its result:

\documentclass{article}
\begin{document}
One plus one according to \texttt{R}:
<<>>=
1+1
@
\end{document}

This results in the following pdf file:

The extensive example given in the section on Markdown is also available in a LaTeX version from the github repository, go to https://github.com/rstudiobook/abalone.git.

Tip

When creating slides with...