sgolayfilt | R Documentation |

Smooth data with a Savitzky-Golay smoothing filter.

```
sgolayfilt(x, p = 3, n = p + 3 - p%%2, m = 0, ts = 1)
## S3 method for class 'sgolayFilter'
filter(filt, x, ...)
```

`x` |
signal to be filtered. |

`p` |
filter order. |

`n` |
filter length (must be odd). |

`m` |
return the m-th derivative of the filter coefficients. |

`ts` |
time scaling factor. |

`filt` |
filter characteristics (normally generated by |

`...` |
additional arguments (ignored). |

These filters are particularly good at preserving lineshape while removing high frequency squiggles.

The filtered signal, of `length(x)`

.

Original Octave version by Paul Kienzle pkienzle@users.sf.net. Modified by Pascal Dupuis. Conversion to R by Tom Short.

Octave Forge https://octave.sourceforge.io/

`sgolay`

, `filter`

```
# Compare a 5 sample averager, an order-5 butterworth lowpass
# filter (cutoff 1/3) and sgolayfilt(x, 3, 5), the best cubic
# estimated from 5 points.
bf <- butter(5,1/3)
x <- c(rep(0,15), rep(10, 10), rep(0, 15))
sg <- sgolayfilt(x)
plot(sg, type="l")
lines(filtfilt(rep(1, 5)/5,1,x), col = "red") # averaging filter
lines(filtfilt(bf,x), col = "blue") # butterworth
points(x, pch = "x") # original data
```

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