Rfssa: plot.fts – R documentation

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plot.fts

Functional Time Series Visualization Tools Using Plotly

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

Functional Singular Spectrum Analysis

v1.0.0

GPL (>= 2)

Authors

Hossein Haghbin [aut, cre], Seyed Morteza Najibi [aut], Jordan Trinka [aut], Mehdi Maadooliat [aut]

Initial release