Skip to Content
RStudio for R Statistical Computing Cookbook
book

RStudio for R Statistical Computing Cookbook

by Andrea Cirillo
April 2016
Beginner to intermediate content levelBeginner to intermediate
246 pages
5h 20m
English
Packt Publishing
Content preview from RStudio for R Statistical Computing Cookbook

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The plot() function is one of most powerful functions in base R."

A block of code is set as follows:

> str(lesmiserables)
'data.frame':  254 obs. of  2 variables:
 $ V1: Factor w/ 73 levels "Anzelma","Babet",..: 61 49 55 55 21 33 12 23 20 62 ...
 $ V2: Factor w/ 49 levels "Babet","Bahorel",..: 42 42 42 36 42 42 42 42 42 42 ...

Any command-line input or output is written as follows:

install.packages("linkcomm") ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Practical Data Analysis Using Jupyter Notebook

Practical Data Analysis Using Jupyter Notebook

Marc Wintjen

Publisher Resources

ISBN: 9781784391034Supplemental Content