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Learning Predictive Analytics with R

You're reading from Learning Predictive Analytics with R

Product type Book

Published in Sep 2015

Publisher Packt

ISBN-13 9781782169352

Pages 332 pages

Edition 1st Edition

Languages

Concepts

Predictive Analytics

Author (1):

Eric Mayor

Table of Contents (23) Chapters

Learning Predictive Analytics with R

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

Setting GNU R for Predictive Analytics

Visualizing and Manipulating Data Using R

Data Visualization with Lattice

Cluster Analysis

Agglomerative Clustering Using hclust()

Dimensionality Reduction with Principal Component Analysis

Exploring Association Rules with Apriori

Probability Distributions, Covariance, and Correlation

Linear Regression

Classification with k-Nearest Neighbors and Naïve Bayes

Classification Trees

Multilevel Analyses

Text Analytics with R

Cross-validation and Bootstrapping Using Caret and Exporting Predictive Models Using PMML

Exercises and Solutions

Further Reading and References

Index

Installing the packages containing the required functions

Let's start by installing the different packages.

Installing C4.5

J48 is the implementation of C4.5 in Weka. It is readily available to R users through the RWeka package. Let's start by downloading and installing RWeka:

install.packages("RWeka"); library(RWeka)

This should work fine if the Java version (32 or 64 bit) matches the version of R that you are running. If the JAVA_HOME cannot be determined from the Registry error occurs, please install the correct Java version as explained at http://www.r-statistics.com/2012/08/how-to-load-the-rjava-package-after-the-error-java_home-cannot-be-determined-from-the-registry/. The package discussed is the rJava package, but the advice given should work just fine for issues with RWeka too.

Installing C5.0

C5.0 is included in the C50 package, which we will install and load:

install.packages("C50"); library(C50)

Installing CART

The rpart() function of the rpart package allows us to run CART in R. Let's...

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Authors (1)

Eric Mayor

Eric Mayor is a senior researcher and lecturer at the University of Neuchatel, Switzerland. He is an enthusiastic user of open source and proprietary predictive analytics software packages, such as R, Rapidminer, and Weka. He analyzes data on a daily basis and is keen to share his knowledge in a simple way.

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