plotFuncy: Plot functional data.

In funcy: Functional Clustering Algorithms

Description

Plot functional data, color curves according to cluster labels and add center curves.

Usage

## S4 method for signature 'matrix'
plotFuncy(data, regTime=NULL, col=NULL,
          ctr=NULL, ctrOnly=FALSE, ctrCols=NULL, showLegend=TRUE,
          legendPlace="bottomleft", lty=3, lwd=NULL, xlim=NULL,
ylim=NULL, xlab=NULL, ylab=NULL, ...)

## S4 method for signature 'sampleFuncy'
plotFuncy(data, regTime=NULL, col=NULL,
          ctr=NULL, ctrOnly=FALSE, ctrCols=NULL, showLegend=TRUE,
          legendPlace="bottomleft", lty=3, lwd=NULL, xlim=NULL,
          ylim=NULL, xlab=NULL, ylab=NULL, ...)

Arguments

data	For irregular time measurements, a matrix consisting of curveID in first column, curve evaluations in second and time evaluation points in third column (Format1). For regular time measurements, a matrix consisting of curves in rows and time evaluations in columns (Format2). Alternatively an object created by sampleFuncy.
regTime	If Format2, optional vector representing the evaluation time points. If regTime=NULL equidistant time points from 1 to number of curves are used.
col	Numeric vector of cluster labels.
ctr	Numeric matrix of cluster centers
ctrOnly	Plot only centers, no curves?
ctrCols	Numeric vector specifying the color of the center curves.
showLegend	Whether to show cluster legend.
legendPlace	Where to place cluster legend.
lty	Line type of the functional data.
lwd	Line width of the functional data.
xlim	Range of x-axis.
ylim	Range of y-axis.
xlab	A title for the x axis.
ylab	A title for the y axis.
...	Further plotting parameters.

Author(s)

Christina Yassouridis

Examples

##cluster the data with methods for regular sets
##sample a regular dataset
set.seed(2001)
ds <- sampleFuncy(obsNr=40, k=4, timeNr=20, reg=TRUE)
data <- Data(ds)
clusters <- Cluster(ds)

##plot sampled functions. 
plotFuncy(data, col=clusters, lty=1, showLegend=TRUE, legendPlace="topleft")

##sample an irregular dataset
set.seed(2001)
ds <- sampleFuncy(obsNr=40, k=4, timeNrMin=2, timeNrMax=10, reg=FALSE)
data <- Data(ds)
clusters <- Cluster(ds)

##plot sampled functions. 
plotFuncy(data, col=clusters, lty=1, showLegend=TRUE, legendPlace="topleft")


##cluster functions with method fitfclust
res <- funcit(data=data, clusters=clusters,
              methods="fitfclust",
              k=4)

##plot including the centers
plotFuncy(data, col=clusters, ctr=Center(res), showLegend=TRUE, legendPlace="topleft")

funcy documentation built on May 2, 2019, 9:22 a.m.