rmdsmooth.spline: Quick smoothing with spline

In s-cosseddu/RMD: General function to analyse MD simulations

Description

Perform the fit to a cubic smoothing spline and the prediction of the smoothed curved in a single step.

Usage

rmdsmooth.spline(x, y = NULL, nx, ...)

Arguments

x	a vector of a two column matrix for smooth.spline()
y	needed only if x is a vector (default NULL)
nx	number of x points for the smoothed curve, supplied to predict()
...	additional arguments passed to smooth.spline

Examples

x<-read.table("data")
plot(rmdsmooth.spline(x, 80))

s-cosseddu/RMD documentation built on May 28, 2019, 10:46 a.m.