outlier_hcluster: Sample filter based on hierarchical clustering

Description Usage Arguments Value Author(s) Examples

Description

A simple shiny app to show outliers based on hierarchical clustering on local web browser.

Usage

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outlier_hcluster(data, traitNum = NULL, scale = FALSE, cutheight = 50000,
  minSize = 10, plot = TRUE, print = TRUE)

Arguments

data

Data matrix

traitNum

Sample information which must be numeric for cluster plot Defaults to NULL

scale

Whether scale is used for the data Defaults to FALSE

cutheight

The threshold for outliers Defaults to 50000

minSize

The minimum cluster size for outliers Defaults to 10

plot

Whether output the plot or not Defaults to TRUE

print

Whether print the result or not Defaults to TRUE

Value

a local webpage for visualization of hcluster

Author(s)

WKL

Examples

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outlier_hcluster(data, trait_num, cutheight=50000)

wkl1990/MyPackage documentation built on May 26, 2019, 6:36 a.m.