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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

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781788621199
Length 432 pages
Edition 2nd Edition
Languages
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Author (1):
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Prabhanjan Narayanachar Tattar Prabhanjan Narayanachar Tattar
Author Profile Icon Prabhanjan Narayanachar Tattar
Prabhanjan Narayanachar Tattar
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Toc

Table of Contents (12) Chapters Close

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:

  1. First set the working directory:
    setwd("MyPath/R/Chapter_04") 
  2. 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.

  3. Import the required Python packages as follows:
    Packages and settings – R and Python

We are now set to carry out the desired analyses.

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