fdapace (version 0.1.1)

CreatePathPlot: Create the sample path plot based on the results from FPCA().

Description

Create the sample path plot based on the results from FPCA().

Usage

CreatePathPlot(fpcaObj, subset, k = NULL,
  inputData = fpcaObj[["inputData"]], showObs = !is.null(inputData),
  derOptns = NULL, ...)

Arguments

fpcaObj

Returned object from FPCA().

subset

A vector of indices or a logical vector for subsetting the observations.

k

The number of components to reconstruct the sample paths.

inputData

A list of length 2 containing the sparse/dense (unsupported yet) observations. inputData needs to contain two fields: t for a list of time points and y for a list of observations. Default to the `inputData` field wit

showObs

Whether to plot the original observations for each subject.

derOptns

A list of options to control derivation parameters; see `fitted.FPCA'. (default = NULL)

...

other arguments passed into matplot for plotting options

Examples

set.seed(1)
n <- 20
pts <- seq(0, 1, by=0.05)
sampWiener <- Wiener(n, pts)
sampWiener <- Sparsify(sampWiener, pts, 10)
res <- FPCA(sampWiener$yList, sampWiener$tList, 
            list(dataType='Sparse', error=FALSE, kernel='epan',
            verbose=TRUE))
CreatePathPlot(res, subset=1:5)