runFun: running function (default median absolute deviation)

In quantable: Streamline Descriptive Analysis of Quantitative Data Matrices

Description

running function (default median absolute deviation)

Usage

runFun(aref, k = 301, func = mad)

Arguments

aref	data array
k	window in data points, default 300
func	default med but can be any function taking a vector and returning a summary

See Also

runmed

Examples

x = rnorm(500)
x = c(x,rnorm(1000,3,2))
x = c(x,runif(1000,4,6))
y = runFun(x,k=51,func=mad)
hist(y)#[500:490]
y2 = runFun(x,k=51,func=median)
plot(x,pch="*")
lines(y2,col=2,lwd=3)
lines(y2+y,col=3,lwd=3)
lines(y2-y,col=3,lwd=3)
tic = runFun(x,k=51,func=function(x,...){mean(x)})
plot(x,pch=".")
abline(h=0,col=2)
lines(tic,col=3,lwd=3)

quantable documentation built on May 2, 2019, 4:05 p.m.