msOutlierPeakCV-MSdata-method: Detect Outlying Peaks

In flajole/MSdata: Mass-spectrometry data analysis package

Description

The function detects reliably quantified peaks using their groupwise coefficient of variation (CV). For this, the mean average, the Tukey's biweight, and the median over all groupwise CV values are estimated and outliers are removed by iterative boxplot statistics. Peaks revealing outlying values in the majority of cases (2 out of 3) are removed from further analysis.

Usage

## S4 method for signature 'MSdata'
msOutlierPeakCV(msdata)

Arguments

msdata	MSdata-class object
method	Method of outlier detection, one of: "tukey" - Tukey's biweight. "box" - boxplot statistic; values more than (75 are considered as outliers. If the number of values is less than 6, only the most outlying one will be removed. "both" - only values detected by both algorithms are marked as outliers.

See Also

msOutlierUni, msOutlierPeakCV

flajole/MSdata documentation built on May 16, 2019, 1:17 p.m.