Book Image

Hands-On Time Series Analysis with R

By : Rami Krispin
Book Image

Hands-On Time Series Analysis with R

By: Rami Krispin

Overview of this book

Time-series analysis is the art of extracting meaningful insights from, and revealing patterns in, time-series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series. This book explores the basics of time-series analysis with R and lays the foundation you need to build forecasting models. You will learn how to preprocess raw time-series data and clean and manipulate data with packages such as stats, lubridate, xts, and zoo. You will analyze data using both descriptive statistics and rich data visualization tools in R including the TSstudio, plotly, and ggplot2 packages. The book then delves into traditional forecasting models such as time-series linear regression, exponential smoothing (Holt, Holt-Winter, and more) and Auto-Regressive Integrated Moving Average (ARIMA) models with the stats and forecast packages. You'll also work on advanced time-series regression models with machine learning algorithms such as random forest and Gradient Boosting Machine using the h2o package. By the end of this book, you will have developed the skills necessary for exploring your data, identifying patterns, and building a forecasting model using various traditional and machine learning methods.
Table of Contents (14 chapters)

Plotting zoo and xts objects

As we discussed in the previous chapter, there are two main approaches for plotting time series objects such as the zoo and xts objects:

  • Direct: Using built-in or customized functions to visualize either the zoo or xts objects, such as plot.zoo and plot.xts functions, or other visualization tools from the TSstudio or dygraph packages
  • Indirect: By transforming or reformatting the structure of the object and using some data visualization packages, such as ggplot2, plotly, and rbokeh
Note that plotting the zoo or xts objects with the TSstudio or dygraph packages follows the exact same process as we demonstrated in the previous chapter with the ts object. Therefore, to avoid redundancy, we will focus in this section only on the built-in visualization functions of the zoo and xts packages.

The use of either approach depends on the user's needs and...