spectralWilcox: Extract significant features from a MAIT object
In MAIT: Statistical Analysis of Metabolomic Data

Description Usage Arguments Value Author(s) See Also

Function spectralWilcox takes an MAIT-class object and obtains which of the variables are significant given a p-value threshold following a Mann-Witney-Wilcoxon test. The parameters of the significant features can ve printed to an output table (TRUE by default).

spectralWilcox(MAIT.object = NULL, 
              pvalue = 0.05, 
              p.adj="none",
              printCSVfile = TRUE,
              jitter = FALSE,
              jitter.factor = 1,
              jitter.amount = 0)

`MAIT.object`	A MAIT-class object where function peakAggregation has already been applied. The output of the function is going to be an update of the same MAIT-class object.
`pvalue`	P-value threshold. Variables having a p-value lower than this value is considered as a significant variable.
`p.adj`	Post-hoc method to be used to correct the p-values.
`printCSVfile`	Set to TRUE if an output table has to be produced. See function sigPeaksTable for more information.
`jitter`	If it is set to TRUE, a jitter noise is added to the data. This is useful when applying Mann-Whitney tests with ties.
`jitter.factor`	See argument factor of the function jitter.
`jitter.amount`	See argument amount of the function jitter.