Learn R Programming

ptw (version 1.9-16)

difsm: Smoothing with a finite difference penalty

Description

This function smoothes signals with a finite difference penalty of order 2.

Usage

difsm(y, lambda)

Arguments

y

signal to be smoothed: a vector

lambda

smoothing parameter: larger values lead to smoothing

Value

smoothed signal: a vector

References

Eilers, P.H.C. (2004) "Parametric Time Warping", Analytical Chemistry, 76 (2), 404 -- 411.

Eilers, P.H.C. (2003) "A perfect smoother", Analytical Chemistry, 75, 3631 -- 3636.

Examples

Run this code
# NOT RUN {
  data(gaschrom)
  plot(gaschrom[1,], type = "l", ylim = c(0, 100))
  lines(difsm(gaschrom[1,], lambda = 1e5), col = 2)
  lines(difsm(gaschrom[1,], lambda = 1e6), col = 3)
  lines(difsm(gaschrom[1,], lambda = 1e7), col = 4)
  
# }

Run the code above in your browser using DataLab