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Learning R Programming

You're reading from   Learning R Programming Language, tools, and practical techniques

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Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889776
Length 582 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Kun Ren Kun Ren
Author Profile Icon Kun Ren
Kun Ren
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Table of Contents (16) Chapters Close

Preface 1. Quick Start FREE CHAPTER 2. Basic Objects 3. Managing Your Workspace 4. Basic Expressions 5. Working with Basic Objects 6. Working with Strings 7. Working with Data 8. Inside R 9. Metaprogramming 10. Object-Oriented Programming 11. Working with Databases 12. Data Manipulation 13. High-Performance Computing 14. Web Scraping 15. Boosting Productivity

R's working directory

An R session always starts in a directory, no matter whether it is launched as an R terminal or in RStudio. The directory in which R is running is called the working directory of the R session. When you access other files on your hard drive, you can use either absolute paths (for example, D:\Workspaces\test-project\data\2015.csv) in most cases or relative paths (for example, data\2015.csv) with the right working directory (in this case, D:\Workspaces\test-project).

The use of relative paths to the working directory does not change the file paths, but the way you specify them is shorter. It also makes your scripts more portable. Imagine you are writing some R scripts to produce graphics according to a bunch of data files in a directory. If you write the directory as an absolute path, then anyone else who wants to run your script on their own computer would have to modify the paths in your code to the location of the data in their hard drives. However...

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