InterpolationMethod: InterpolationMethod

In EarthSystemDiagnostics/corit: time scale dependent correlation of irregular time series

Description

linear or nearest neighbor interpolation of the irregular time series before convolution with time domain filter

Usage

InterpolationMethod(X, fc, dt, timser.length, int.method = c("linear",
  "nearest"), appliedFilter = c("gauss", "runmean", "lowpass"), k = 5)

Arguments

X	time series (zoo-object)
fc	cut-off frequency
dt	regular inter-observation time step of the interpolation
timser.length	oldest age of the time series
int.method	kind of interpolation (linear, nearest neighbor)
appliedFilter	time domain filter (gauss, runmean, lowpass)
k	scaling factor to define the sharpness of the lowpass

Value

filtered time series (zoo-object)

Examples

timser.irreg <- zoo(rnorm(100), order.by=sort(runif(100,min=1,max=1000)))
timser.irregSmooth <- InterpolationMethod(X=timser.irreg, fc=1/50, dt=10, timser.length=max(index(timser.irreg)), int.method="linear", appliedFilter="lowpass", k=5)
plot(timser.irreg,type="l",col="black")
lines(timser.irregSmooth,col="limegreen",lwd=3)

EarthSystemDiagnostics/corit documentation built on May 29, 2019, 1:39 p.m.