SiZer: SiZer (Significant Zero Crossings)

In shinyWGD: 'Shiny' Application for Whole Genome Duplication Analysis

SiZer (Significant Zero Crossings)

Description

The SiZer (Significant Zero Crossings) method is a technique used for assessing the statistical significance of zero crossings in data density estimation.

Usage

SiZer(x, bw, gridsize, signifLevel = 0.05)

Arguments

x	A numeric vector containing the data for which you want to calculate SiZer.
bw	Bandwidth parameter for kernel density estimation. If not provided, default values are used.
gridsize	A vector specifying the grid size for SiZer. Default is c(401, 151).
signifLevel	The significance level for SiZer. Default is 0.05.

Value

A list containing SiZer results, including the SiZer curve, the SiZer map, and the bandwidth.

shinyWGD documentation built on April 4, 2025, 2:28 a.m.