odm-class: Class '"OutlierDM"'

In OutlierDM: Outlier Detection for Multi-replicated High-throughput Data

Description

A S4 class for the OutlierDM package

Objects from the Class

Objects can be created by calls of the form new("OutlierDM", ...). See following information about slots.

Slots

call:

evaluated function call

raw.data:

data to be used in the fitted model

res:

a data.frame including the information about the fitted model. It consists of several columns including outlier, M, A, Q3, Q1, UB and LB.

x.pair:

a list including the information of the pairwise outlierD algorithm

k:

a scalar parameter for constructing boxplot used in the fitted models

outlier:

a boolean matrix for outlier information

n.outliers:

a scalar value that denotes the number of outliers to be detected by the fitted model.

quantreg:

type of quantile regression used for the model fitting

method:

type of outlier detection method used for the modeling fitting

contrl.para:

a list including information about tuning parameters

Methods

show

signature(object = "OutlierDM"): Same as the show method without the optional arguments

summary

signature(object = "OutlierDM"): Print summarized information for the fitted algorithm

plot

signature(x = "OutlierDM", y = "missing"): Plot an object.

oneplot

signature(x = "OutlierDM", y = "numeric"): Draw a dot-plot for a selected observation (peptide)

input

signature{object = "OutlierDM"}: Show an input data set

output

signature{object = "OutlierDM"}: Show the result

outliers

signature{object = "OutlierDM"}: Show the candidate outliers

See Also

odm

Examples

  showClass("OutlierDM")

OutlierDM documentation built on May 1, 2019, 7:58 p.m.