Approximate missing values for funData objects
This function approximates missing values for funData objects based on
the na.approx interpolation method from the package zoo.
approxNA(object)
object |
An object of class |
A funData object where missing values have been imputed.
This function requires the package zoo to be installed, otherwise it will throw a warning.
# Simulate some data f <- simFunData(N = 10, M = 8, eVal = "linear", eFun = "Poly", argvals = seq(0, 1, 0.01))$simData # Sparsify, i.e. generate artificial missings in the data fSparse <- sparsify(f, minObs = 10, maxObs = 50) # plot oldpar <- par(no.readonly = TRUE) par(mfrow = c(1,3)) plot(f, main = "Original Data") plot(fSparse, main = "Sparse Data") plot(approxNA(fSparse), main = "Reconstructed Data") # faster with plot(fSparse, plotNA = TRUE, main = "Reconstructed Data") par(oldpar)
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