Description Slots Methods Author(s) See Also
The class samroc.result is the output of a call to
samrocN
and the input of various other
functions.
d
:Object of class "numeric". Observed test statistic.
diff
:Object of class "numeric". Estimate of effect, e.g. difference between group means.
se
:Object of class "numeric". Standard error of diff
.
d0
:Object of class "matrix". Permutation test statistics.
p0
:Object of class "numeric". The estimated proportion unaffceted genes.
s0
:Object of class "numeric". The fudge factor.
pvalues
:Object of class "numeric". The p-values.
N.list
:Object of class "integer". The optimal top list size among the sizes suggested.
errors
:Object of class "numeric". The sum of false postives and false negatives given a list that includes the current gene.
formula
:Obeject of class "formula". The linear model formula used.
contrast
:Object of class "numeric". The contrast estimated.
annotation
:Object of class "character". Annotation or comments regarding the analysis. By default the date.
N.sample
:Object of class "integer". The number of samples.
B
:Object of class "integer". The number of premutations.
call
:Object of class "character". The call to the function.
id
:Object of class "character". The probeset ids.
error.df
:Object of class "integer". The error degrees of freedom.
design
:Object of class "matrix". The design matrix.
(samroc.result): Summarizes the test result.
(samroc.result): Plots the density of the observed test statistic and that of the corresponding null distribution
Per Broberg
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