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You're reading from  Hands-On Time Series Analysis with R

Product typeBook
Published inMay 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781788629157
Edition1st Edition
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Author (1)
Rami Krispin
Rami Krispin
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Rami Krispin

Rami Krispin is a data scientist at a major Silicon Valley company, where he focuses on time series analysis and forecasting. In his free time, he also develops open source tools and is the author of several R packages, including the TSstudio package for time series analysis and forecasting applications. Rami holds an MA in Applied Economics and an MS in actuarial mathematics from the University of MichiganAnn Arbor.
Read more about Rami Krispin

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Summary

In this chapter, we introduced two of the most advanced classes for time series data in R, the zoo and xts classes, and their applications. It is safe to claim that working with those objects, in particular, the xts class, is more friendly and convenient than the ts class. Their unique structure of data frames and well-organized time indices gives users seamless preprocessing and faster data querying. Furthermore, the zoo and xts packages have rich functionality and applications; more than we can cover in one chapter. Therefore, it is highly recommended that you look at the documentation and vignettes of the packages for more information.

In the next chapter, we will look at the decomposition of time series data process.

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Hands-On Time Series Analysis with R
Published in: May 2019Publisher: PacktISBN-13: 9781788629157

Author (1)

author image
Rami Krispin

Rami Krispin is a data scientist at a major Silicon Valley company, where he focuses on time series analysis and forecasting. In his free time, he also develops open source tools and is the author of several R packages, including the TSstudio package for time series analysis and forecasting applications. Rami holds an MA in Applied Economics and an MS in actuarial mathematics from the University of MichiganAnn Arbor.
Read more about Rami Krispin