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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

Packages and settings – R and Python

The R package LearnEDA is not available anymore and we need to work around it. To get over that problem, the three required functions lval, rline, and han are saved in a LearnEDA_Functions.R file and it is loaded as a source file:

First set the working directory:
```
setwd("MyPath/R/Chapter_04") 
```
Install the R packages aplpack and vcd in the usual way, and run the following codes to set up the required packages:
```
library(RSADBE)
library(aplpack)
library(vcd)
source("SRC/LearnEDA_Functions.R")
```
We have the usual Python packages as a pre-requisite.
Import the required Python packages as follows:

We are now set to carry out the desired analyses.

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