Outlier Detection for Multi-replicated High-throughput Data

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Documentation for package ‘OutlierDM’ version 1.1.1

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OutlierDM-package Functions for detecting outlying parameters (peptides) or observations (samples) in multi-replicated high-throughtput data such as mass spectrometry experiments
input Class '"OutlierDM"'
input-method Class '"OutlierDM"'
lcms3 a real MS dataset obtained from analyzing human sera
odm Outlier Dectection for Multi-replicated data
odm.control Control tuning parameters for "OutlierDM" object
oneplot Draw a dot-plot for a selected observation (peptide)
oneplot-method Draw a dot-plot for a selected observation (peptide)
OutlierDM Functions for detecting outlying parameters (peptides) or observations (samples) in multi-replicated high-throughtput data such as mass spectrometry experiments
OutlierDM-class Class '"OutlierDM"'
outliers Class '"OutlierDM"'
outliers-method Class '"OutlierDM"'
output Class '"OutlierDM"'
output-method Class '"OutlierDM"'
plot-method a plot-method for a "OutlierDM" object
rgrubbs.test Recursive Grubbs test for an outlier detection
show-method Class '"OutlierDM"'
summary-method Class '"OutlierDM"'
toy an artificial dataset for a LC/MS/MS experiment