Summary of the most important results given by the BH procedure.
Usage
## S3 method for class 'BH':
summary(object, \dots)
Arguments
object
A BH object.
...
Additional arguments affecting the summary produced.
Value
RejectionsThe number of effects declared by the BH procedure.
FDRThe estimated false discovery rate.
Adjusted.pvaluesTable of adjusted p-values falling under alpha.
encoding
UTF-8
References
Benjamini Y and Hochberg Y (1995): Controlling the False Discovery Rate: A
Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society Series B (Methodological) 57, 289--300.
Dalmasso C, Broet P and Moreau T (2005) A simple procedure for estimating the false discovery rate. Bioinformatics 21:660--668