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You're reading from  Learning Predictive Analytics with R

Product typeBook
Published inSep 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781782169352
Edition1st Edition
Languages
R
Concepts
Predictive Analytics
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Author (1)
Eric Mayor
Eric Mayor
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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.
Read more about Eric Mayor

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Summary

In this chapter, we have explored some of the functions of the lattice package. We have seen how easy it is to plot data as a function of groups. We have described some of the customization possibilities of lattice graphs. Through the example of the USCancerRates dataset, we have discussed the importance of data integration, which is merging data from several sources in order to build knowledge. In the process of exploring the functions of lattice, we have made some fascinating discoveries. In the next chapter, we will discover unsupervised clustering with kmeans().

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Learning Predictive Analytics with R
Published in: Sep 2015Publisher: PacktISBN-13: 9781782169352
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Eric Mayor

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