mts.plot: Plot Multiple Time Series in One Frame

In SLBDD: Statistical Learning for Big Dependent Data

Plot Multiple Time Series in One Frame

Description

Plot multiple time series in one frame and return standardized time series.

Usage

mts.plot(x, title = "mts plot", scaling = TRUE, xtime = NULL)

Arguments

x	T by k data matrix: T data points in rows with each row being data at a given time point, and k time series in columns.
title	Character with the title of the plot. Default title is "mts plot".
scaling	If scaling = TRUE (default), then each series is standardized based on its own range. If scaling = FALSE, then the original series is used.
xtime	A vector with the values for the x labels. Default values are 1, 2, 3, ...

Value

standardized - Matrix containing the standardized time series.

Examples

data(TaiwanAirBox032017)
output <- mts.plot(TaiwanAirBox032017[,1:5])

SLBDD documentation built on April 27, 2022, 5:08 p.m.