plot.fts: Functional Time Series Visualization Tools Using Plotly

In Rfssa: Functional Singular Spectrum Analysis

Description

This is a plotting method for univariate or multivariate functional time series (fts). This method is designed to help the user visualize fts data using a variety of techniques that use plotly.

Usage

## S3 method for class 'fts'
plot(x, npts = 100, type = "line", main = NULL,
  ylab = NULL, xlab = NULL, tlab = NULL, var = NULL, ...)

Arguments

x	an object of class fts
npts	number of points to evaluate functional object at
type	the type of plot to be displayed where possible types are: "line" plot the fts elements in a line plot (default) "heatmap" plot the fts elements in a heat map "3Dsurface" plot the fts elements as a surface "3Dline" plot the fts elements in a three-dimensional line plot
main	the main title
ylab	the y-axis label
xlab	the x-axis label
tlab	the time-axis label
var	an integer specifying the variable number to plot if type="3Dsurface" or type="3Dline"
...	arguments to be passed to methods, such as graphical parameters.

Note

for a multivariate example, see the examples in fssa

Examples

## Not run: 
require(fda)
require(Rfssa)
data(Callcenter) # Read data
u=seq(0,1,length.out=240) # Define domain of functional data
d=12 # number of basis elements
basis=create.bspline.basis(rangeval = c(0,1),nbasis = d) # create basis object
smooth.calls=smooth.basis(u, matrix(nrow=240,ncol=365,Callcenter$calls), basis)
Y=fts(smooth.calls$fd) # create functional time series
plot(Y,type = "heatmap")
plot(Y,type = "line",var = 1)
plot(Y,type = "3Dsurface",var = 1)
plot(Y,type = "3Dline",var = 1)

## End(Not run)

Rfssa documentation built on Sept. 13, 2019, 1:05 a.m.