Remove NAs from sensor data and return indices of (rows of) filled values

This is an internal function used by htrack

interp_nan(data)

Arguments

data	a data vector or matrix

Value

A list with entries data (the input data with NAs filled in) and k a logical vector indicating the position (if data was a vector) or rows (if data was a matrix) where NAs were filled in. Internal NAs are filled via linear interoplation, while leading and trailing ones are filled using the first following or last preceding good value.

Examples

if (FALSE) {
A <- matrix(c(NA, NA, 3, 4, 5, 6, 7, 8, 9, 10, NA, NA, 13, 14, 15, 16, NA, NA), ncol = 2)
result <- interp_nan(A)
}