compDeriv: Computes the successive derivatives of a time series

In GPoM: Generalized Polynomial Modelling

Computes the successive derivatives of a time series

Description

Computes the successive derivatives from one single time series, with the Savitzky-Golay approach (1964).

Usage

compDeriv(TS, nDrv, tstep, winL = 9)

Arguments

TS	A single time series provided as a single vector.
nDrv	The number of derivatives to be computed from the input series. The resulting number of outpout time series will thus be nVar = nDrv + 1.
tstep	Sampling Time of the input time series TS.
winL	The local window length used for computing the derivatives [1-2].

Value

drv A matrix containing the original variable (smoothed by the filtering process) in the first comlumn and its nDrv+1 first derivatives in the next columns (note that winL values of the original time series will be lost both at the begining and the end of the time series due to boundary effect).

Author(s)

Sylvain Mangiarotti

References

[1] Savitzky, A.; Golay, M.J.E., Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Analytical Chemistry 36 (8), 1627-1639, 1964.
[2] Steinier J., Termonia Y., Deltour, J. Comments on smoothing and differentiation of data by simplified least square procedure. Analytical Chemistry 44 (11): 1906-1909, 1972.

See Also

gloMoId, gPoMo, poLabs

Examples

# load data:
data(NDVI)

# Compute the derivatives:
drv <- compDeriv(NDVI[,1], nDrv = 3, tstep = 1/125)

GPoM documentation built on July 9, 2023, 6:23 p.m.