rgrubbs.test: Recursive Grubbs test for an outlier detection

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

Description

This function works to detect outlying observation given one peptide by using the Grubbs test recursively.

Usage

rgrubbs.test(x, alpha = 0.05)

Arguments

x	a peptide
alpha	a significance level alpha for a p-value

Details

It is a recursive version of the Grubbs test to detect outlying observations assuming that a peptide is given.

References

Cho, H and Eo, S-H. (2015). Outlier Detection for Mass Spectrometry Data, Submitted.

See Also

odm

Examples

  data(lcms3)
  rgrubbs.test(log2(lcms3[100,]))

Example output

Package OutlierDM (1.1.1) loaded.
     [,1] [,2] [,3]
[1,]   NA   NA   NA
[2,]   NA   NA   NA

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