outlier_hcluster: Sample filter based on hierarchical clustering

In wkl1990/MyPackage: The usually used code for data analysis in my pipeline.

Description

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

Usage

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

outlier_hcluster(data, trait_num, cutheight=50000)

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