CreateModeOfVarPlot {fdapace} | R Documentation |
Functional Principal Component Analysis: Mode of variation plot
Description
Creates the k-th mode of variation plot around the mean. The red-line is
the functional mean, the grey shaded areas show the range of variation
around the mean: \pm Q \sqrt{\lambda_k} \phi_k
for the dark grey area Q = 1, and for the light grey are Q = 2. In the case of 'rainbowPlot'
the blue edge corresponds to Q = -3, the green edge to Q = +3 and the red-line to Q = 0 (the mean).
Usage
CreateModeOfVarPlot(
fpcaObj,
k = 1,
rainbowPlot = FALSE,
colSpectrum = NULL,
...
)
Arguments
fpcaObj |
An FPCA class object returned by FPCA(). |
k |
The k-th mode of variation to plot (default k = 1) |
rainbowPlot |
Indicator to create a rainbow-plot instead of a shaded plot (default: FALSE) |
colSpectrum |
Character vector to be use as input in the 'colorRampPalette' function defining the outliers colours (default: c("blue","red", "green"), relevant only for rainbowPlot=TRUE) |
... |
Additional arguments for the |
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$Ly, sampWiener$Lt,
list(dataType='Sparse', error=FALSE, kernel='epan', verbose=TRUE))
CreateModeOfVarPlot(res)