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Last data update: 2014.03.03

R: Simulate functional data.

sampleFuncy

R Documentation

Simulate functional data.

Description

Generates a functional dataset for 2-6 clusters.

Usage

sampleFuncy(obsNr=100, k=4, timeNr=20, timeNrMax=NULL,
            timeNrMin=NULL, timeInterval=c(0, 1),
            nrGridPts=30, sd=0.3, reg=TRUE)
## S4 method for signature 'sampleFuncy'
Cluster(object)
## S4 method for signature 'sampleFuncy'
Data(object,...)

Arguments

`obsNr`	Number of curves.
`k`	Number of classes.
`timeNr`	Number of time points for regular datasets in Format2 (see `funcit`).
`timeNrMax`	Maximal number of time points for irregular datasets in Format1 (see `funcit`).
`timeNrMin`	Minimal number of time points for irregular dataset in Format1 (see `funcit`).
`timeInterval`	Time interval where time points are drawn from.
`nrGridPts`	Time interval is divided into nrGridPts grid points where time points are randomly drawn from.
`sd`	Standard deviation from the center curves.
`reg`	Regular dataset in Format2 or irregular dataset in Format1 (see `funcit`).
`object`	An object of class `sampleFuncy`
`...`	Not used.

Details

Curves are generated by adding a normally distributed error term with mean 0 and standard deviation sd to the center functions. The center functions are sampled from

x^2
√{x}
sin(2*π*x)
x^3
-x^2
x-1

If reg=TRUE all curves are evaluated on the same time points. If reg=FALSE evaluation place and number can differ for each curve.

Value

[sampleFuncy] A list with entries data and clusters.
[Cluster] Retrieve vector of cluster assignments
[Data] Retrieve matrix of dataset

Author(s)

Christina Yassouridis

Examples

##sample a regular dataset
set.seed(2705)
ds <- sampleFuncy(obsNr=100, k=4, timeNr=20, reg=TRUE)
plotFuncy(ds)

##sample an irregular dataset
set.seed(2705)
ds <- sampleFuncy(obsNr=100, k=4, timeNrMin=3, timeNrMax=10, reg=FALSE)
plotFuncy(ds, lty=1)