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You're reading from  Hands-On Exploratory Data Analysis with R

Product typeBook
Published inMay 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789804379
Edition1st Edition
Languages
R
Tools
ggplot
Concepts
Data Analysis
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Authors (2):
Radhika Datar
Radhika Datar
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Radhika Datar

Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.
Read more about Radhika Datar

Harish Garg
Harish Garg
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Harish Garg

Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.
Read more about Harish Garg

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Parsimonious models

Parsimonious models are simple models with great explanatory predictive power. They usually explain data with a minimum number of parameters, or predictor variables. MoEClust is the R package that fits finite Gaussian mixtures of experts' models. It uses a range of parsimonious covariance with the help of EM or CEM algorithms.

Follow these steps to create a range of parsimonious covariance models with our AirQualityUCI dataset:

  1. Install the package that is required to create a parsimonious model of our dataset:
> install.packages('devtools') 
Installing package into 'C:/Users/Radhika/Documents/R/win-library/3.5' 
(as 'lib' is unspecified) 
trying URL 'https://cran.rstudio.com/bin/windows/contrib/3.5/devtools_2.0.2.zip' 
Content type 'application/zip' length 383720 bytes (374 KB) 
downloaded 374 KB ...
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Hands-On Exploratory Data Analysis with R
Published in: May 2019Publisher: PacktISBN-13: 9781789804379
© 2019 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Radhika Datar

Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.
Read more about Radhika Datar

author image
Harish Garg

Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.
Read more about Harish Garg

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