smoothy: General purpose polynomial smoother

In Blue-Matter/MSEtool: Management Strategy Evaluation Toolkit

General purpose polynomial smoother

Description

Polynomial smoother (no gradient prediction) applied to a vector that can include NA values. Intended to be rapid for use in management procedures

Usage

smoothy(xx, plot = F, enp_mult, plotname = "", xlab = "x", ylab = "y", x = NA)

Arguments

xx	Vector of real numbers, data to be smoothed.
plot	Logical, should the 'fit' of the smoother be plotted?
enp_mult	Fraction, effective number of parameters multiplier. The smoother parameter number is length(xx) x enp_mult. So higher values of enp_mult means less smoothing (more parameters).
plotname	Character, in case you want to put a label on the plot (plot = T).
xlab	Character, in case you want an xaxis label on the plot (plot = T)
ylab	Character, in case you want a yaxis label on the plot (plot = T)
x	Numeric vector same length as xx, in case you want to have a custom xaxis (e.g. years)

Author(s)

T. Carruthers

Blue-Matter/MSEtool documentation built on Nov. 22, 2024, 8:23 p.m.