funData (version 1.3-9)

approxNA: Approximate missing values for funData objects

Description

This function approximates missing values for funData objects based on the na.approx interpolation method from the package zoo.

Usage

approxNA(object)

Value

A funData object where missing values have been imputed.

Arguments

object

An object of class funData with missing values (coded by NA).

Warning

This function requires the package zoo to be installed, otherwise it will throw a warning.

Examples

# 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)