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Hands-On Time Series Analysis with R

You're reading from Hands-On Time Series Analysis with R Perform time series analysis and forecasting using R

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781788629157

Length 448 pages

Edition 1st Edition

Languages

R

Tools

Plotly

Concepts

Data Analysis

Author (1):

Rami Krispin

View More author details

Table of Contents (14) Chapters

Preface

1. Introduction to Time Series Analysis and R FREE CHAPTER

2. Working with Date and Time Objects

3. The Time Series Object

4. Working with zoo and xts Objects

5. Decomposition of Time Series Data

6. Seasonality Analysis

7. Correlation Analysis

8. Forecasting Strategies

9. Forecasting with Linear Regression

10. Forecasting with Exponential Smoothing Models

11. Forecasting with ARIMA Models

12. Forecasting with Machine Learning Models

13. Other Books You May Enjoy

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Manipulation of date and time with the lubridate package

The title of the lubridate package documentation in CRAN is Make Dealing with Dates a Little Easier. In my mind, this is a very modest title for a package that makes work with date and time objects more effective, simple, and time efficient. This section introduces alternative tools and applications with the lubridate package for reformatting, converting, and handling date and time objects.

Reformatting date and time objects – the lubridate way

To understand how simple it is to reformat date and time objects with the lubridate package, let's go back to the complex time object (Monday, December 31, 2018 11:59:59 PM) we converted earlier to a POSIXct class...

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Authors (1)

Rami Krispin

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.

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