ExpressionSet and returns a
list with necessary
information to create assessment plots.assessSpikeIn2(s, method.name=NULL, verbose=TRUE)
assessSpikeInSD(exprset, method.name=NULL, span=1/3)
assessLS(exprset, method.name=NULL)
assessMA2(exprset, method.name=NULL)ExpressionSet
containing expression measures for Affymetrix's spike-in experiment.ExpressionSet containing
expression measures for Affymetrix's spike-in experiment.TRUE show messages.loess.assessMA2 performs the assessment for the second MA-plot (Figure 1b),
and assessLS performs the assessment for signal detection plot
(Figure 4c).
assessMA2 also performs assessments used by fold-change related plots
(Figures 5a,b) and the ROC plots (Figures 5c,d,e).
assessSpikeInSD is for the standard deviation assessment in Figure 2b.
assessSpikeIn2 is a wrapper for all these and returns a list of lists.