kzsv: Kolmogorov-Zurbenko Adaptive filter with Sample Variance.

In kza: Kolmogorov-Zurbenko Adaptive Filters

Description

Sample variance of a Kolmogorov-Zurbenko adaptive filter. You want a sigma of at least 3.

Usage

kzsv(object)
## S3 method for class 'kzsv'
summary(object, digits=getOption("digits"), ...)
## S3 method for class 'kzsv'
plot(x, ...)

Arguments

object	The resultant object from kza function.
x	The results of the kza function.
digits	Precision of output.
...	Other parameters.

Examples

x <- c(rep(0,4000),rep(0.5,2000),rep(0,4000))
noise <- rnorm(n = 10000, sd = 1.0) # normally-distributed random variates
v <- x + noise
a<-kza(v, m=1000, k=3)
sv<-kzsv(a)

Example output

kza documentation built on March 26, 2020, 6:27 p.m.