Replace Missing Values Using Spline Interpolation

Replaces missing values using spline interpolation, with control over both minimum and maximum gap sizes to interpolate.

Usage

replace_na_spline(x, min_gap = 1, max_gap = Inf, times = NULL, ...)

Arguments

x

A vector containing numeric data with missing values (NAs)

min_gap

Integer specifying minimum gap size to interpolate. Gaps shorter than this will be left as NA. Default is 1 (interpolate all gaps).

max_gap

Integer or Inf specifying maximum gap size to interpolate. Gaps longer than this will be left as NA. Default is Inf (no upper limit).

times

Optional numeric vector of positions for the values in x, normally the frame's index. Interpolation is then over elapsed time rather than over row position, so an irregularly sampled gap is filled correctly. Defaults to row position.

...

Additional parameters passed to stats::spline

Value

A numeric vector with NA values replaced by interpolated values where gap length criteria are met.

Details

The function applies both minimum and maximum gap criteria:

• Gaps shorter than min_gap are left as NA

• Gaps longer than max_gap are left as NA

• Only gaps that meet both criteria are interpolated If both parameters are specified, min_gap must be less than or equal to max_gap.

Examples

if (FALSE) { # \dontrun{
x <- c(1, NA, NA, 4, 5, NA, NA, NA, 9)
replace_na_spline(x)  # interpolates all gaps
replace_na_spline(x, min_gap = 2)  # only gaps >= 2
replace_na_spline(x, max_gap = 2)  # only gaps <= 2
replace_na_spline(x, min_gap = 2, max_gap = 3)  # gaps between 2 and 3
} # }