View source: R/fts.plot.filters.R
fts.plot.filters | R Documentation |
Plot kernels
fts.plot.filters(A, Ndpc = 1, lags = -3:3, one.plot = FALSE, ...)
A |
a functional filter sequence given as object of class |
Ndpc |
if Ndpc = k the first k filter sequences are plotted. |
lags |
number of lags to plot. |
one.plot |
if TRUE then functional filters corresponding belonging to the respective scores will all be plotted in the same graph. |
... |
arguments |
# Load example PM10 data from Graz, Austria data(pm10) # loads functional time series pm10 to the environment X = center.fd(pm10) # Compute functional dynamic principal components with only one component res.dpca = fts.dpca(X, Ndpc = 1, freq=(-25:25/25)*pi) # leave default freq for higher precision # Plot Functional Dynamic Principal Component Filters fts.plot.filters(res.dpca$filters)
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