smoothing: Smoothing

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Smoothing

Description

Smoothing is a statistical technique used to reduce the noise in a signal or a dataset by removing the high-frequency components. The smoothing level is associated with the number of bins used. There are alternative methods to establish the smoothing: equal interval, equal frequency, and clustering.

Usage

smoothing(n)

Arguments

n	number of bins

Value

returns an object of class smoothing

Examples

data(iris)
obj <- smoothing_inter(n = 2)
obj <- fit(obj, iris$Sepal.Length)
sl.bi <- transform(obj, iris$Sepal.Length)
table(sl.bi)
obj$interval

entro <- evaluate(obj, as.factor(names(sl.bi)), iris$Species)
entro$entropy

daltoolbox documentation built on Nov. 3, 2024, 9:06 a.m.