interpolate: interpolate

In wesleyburr/tsinterp: Time Series Interpolation

interpolate

Description

Univariate interpolation of gappy time series.

Usage

interpolate(z, gap, maxit = 20, progress = FALSE, sigClip = 0.999, delT = 1)

Arguments

z	time series with gaps, denoted by NA.
gap	indexes of missing values, from 1:N, where N = length(z).
maxit	maximum number of iterations for convergence in interpolation.
progress	logical: should progress be written to screen as iterations proceed?
sigClip	probabilistic significance for choice of line components, dividing series into “signal” and “noise” (see algorithm for more). Suggested that this be kept above 0.95 at a minimum.
delT	the time step delta-t in seconds.

Value

returns a list of the interpolated timeseries

Examples

library("tsinterp")
         data("flux")
         z1 <- flux$SagOrig
         z1[which(flux$S == FALSE)] <- NA
         interpolate(z, gap, maxit = 20, progress=FALSE, sigClip=0.999, delT=1)

wesleyburr/tsinterp documentation built on Jan. 28, 2024, 11:16 a.m.