spline_stats: Computes background quantities using splines

In sevvandi/eventstream: Streaming Events and their Early Classification

Computes background quantities using splines

Description

This function computes 4 splines, from median, iqr, mean and standard deviation values.

Usage

spline_stats(dat)

Arguments

dat	The data matrix

Value

A list with following components

med.spline	The spline computed from the median values.
iqr.spline	The spline computed from IQR values.
mean.spline	The spline computed from mean values.
sd.spline	The spline computed from standard deviation values.
mean.dat	The mean of the data matrix.
sd.dat	The standard deviation of the data matrix.

Examples

out <- gen_stream(1, sd=15)
zz <- as.matrix(out$data)
sstats <- spline_stats(zz[1:100,])
oldpar <- par(mfrow=c(2,1))
image(1:ncol(zz), 1:nrow(zz),t(zz), xlab="Location", ylab="Time" )
plot(sstats[[1]], type="l")
par(oldpar)       

sevvandi/eventstream documentation built on May 16, 2022, 11:23 a.m.