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Convert Irregular Functional Data to Regular Grid

Source: R/irregFdata.R
as.fdata.irregFdata.Rd

Creates a regular fdata object from an irregFdata object by interpolating or placing NA at unobserved points.

Usage

# S3 method for class 'irregFdata'
as.fdata(x, argvals = NULL, method = c("na", "linear", "nearest"), ...)

as.fdata(x, ...)

Arguments

x

An object of class irregFdata.

argvals

Target regular grid. If NULL, uses the union of all observation points.

method

Interpolation method:

na

(Default) Only fill exact matches; other points are NA

linear

Linear interpolation between observed points

nearest

Nearest neighbor interpolation

...

Additional arguments (ignored).

Value

An fdata object with NA for unobserved points (unless interpolated).

See also

sparsify, irregFdata

Examples

# Create sparse data
t <- seq(0, 1, length.out = 100)
fd <- simFunData(n = 10, argvals = t, M = 5, seed = 42)
ifd <- sparsify(fd, minObs = 10, maxObs = 30, seed = 123)

# Convert back to regular grid with NA
fd_na <- as.fdata(ifd)

# Convert with linear interpolation
fd_interp <- as.fdata(ifd, method = "linear")