Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages

© Margot Tollefson 2021

M. TollefsonVisualizing Data in R 4https://doi.org/10.1007/978-1-4842-6831-5_15

Plots for Time Series

Margot Tollefson¹  

(1)

Stratford, IA, USA

 

In Table E-1, functions that are used for time series vectors and matrices are given.

Table E-1

Functions for plotting contingency tables

Function Name

Description

acf( ) and pacf( )

For a time series vector or matrix (of class ts or mts) or a numeric vector or matrix (x).  Plots the autocorrelation or autocovariance (acf) and the partial autocorrelation (pacf) against the lagged time series.  (Only the univariate case works for pacf( ) – multiple time series and matrices give nonsense.)  The number of lags to plot can be specified by the argument lag.max.  An object that has been created ...