plotfd: plot a functional data object

Description Usage Arguments Examples

View source: R/plot.R

Description

This function plots a functional data object (after smoothing or interpolation). If you want to color the curves according to a cluster's membership, please specify the parmetere col. Note: this function works only for univariate functional data.

Usage

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plotfd(fd, col = 1:nrow(fd$coefs), xlab = "time", ylab = "value",
  main = "Functional data curves", ...)

Arguments

fd

a functional data object

col

the color vector.

xlab

label of the horizontal axis

ylab

label of the vertical axis

main

the title of the graphic

...

extra plot parameters

Examples

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data(growth)
data=cbind(matrix(growth$hgtm,31,39),matrix(growth$hgtf,31,54));
t=growth$age;
splines <- create.bspline.basis(rangeval=c(1, max(t)), nbasis = 20,norder=4);
fd <- Data2fd(data, argvals=t, basisobj=splines);
cls=c(rep(1,39),rep(2,54)) #there is 39 boys and 54 girls in this data 
plotfd(fd,col=cls)

Funclustering documentation built on May 2, 2019, 5:05 p.m.