plotOC: plot Original Curves

In Funclustering: Functional Data Clustering

Description

This function plots the observed curves, before any action of smoothing or interpolation.

Usage

  plotOC(time = 1:nrow(curves), curves, xlab = "time",
    ylab = "value", main = "Original curves")

Arguments

time	a vector containing the observation time for the curves. If absent the time param will be set at the vector 1:nrow(curves)
curves	the observations matrix. Each column of this matrix corresponds to one observed curve, and contains the value of the curve at discrete time points.
xlab	label of the horizontal axis
ylab	label of the vertical axis
main	the title of the graphic

Examples

data(growth)
curves=matrix(data=cbind(growth$hgtm,growth$hgtf),ncol=93)
time=growth$age
plotOC(time,curves)

Example output

Loading required package: fda
Loading required package: splines
Loading required package: Matrix

Attaching package: 'fda'

The following object is masked from 'package:graphics':

    matplot

Funclustering documentation built on Nov. 25, 2018, 1:04 a.m.