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Statistical Application Development with R and Python

You're reading from Statistical Application Development with R and Python Develop applications using data processing, statistical models, and CART

Product type Paperback

Published in Aug 2017

Publisher

ISBN-13 9781788621199

Length 432 pages

Edition 2nd Edition

Languages

Python

Concepts

Application Development

Author (1):

Prabhanjan Narayanachar Tattar

View More author details

Table of Contents (12) Chapters

Preface

1. Data Characteristics FREE CHAPTER

2. Import/Export Data

3. Data Visualization

4. Exploratory Analysis

5. Statistical Inference

6. Linear Regression Analysis

7. Logistic Regression Model

8. Regression Models with Regularization

9. Classification and Regression Trees

10. CART and Beyond

Index

Installing and setting up R

The official website of R is the Comprehensive R Archive Network (CRAN) at www.cran.r-project.org. At the time of writing, the most recent version of R is 3.4.1. This software is available for the three platforms: Linux, macOS X, and Windows.

Installing and setting up R

The CRAN Website (snapshot)

A Linux user may simply key in sudo apt-get install r-base in the Terminal, and post the return of the right password and privilege levels, and the R software would be installed. After the completion of the download and installation, the software is started by simply keying in R in the Terminal.

A Windows user needs to perform the following steps:

Firstly, click on Download R for Windows, as shown in the preceding screenshot.
Then in the base subdirectory click on install R for the first time.
In the new window, click on Download R 3.4.0 for Windows and download the .exe file to a directory of your choice.
The completely downloaded R-3.0.0-win.exe file can be installed as any other .exe file.
The R software may be invoked either from the Start menu, or from the icon on the desktop. The installed versions of R in Windows and Linux appears as follows:

You have been reading a chapter from

Statistical Application Development with R and Python - Second Edition

Published in: Aug 2017

Publisher:

ISBN-13: 9781788621199

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