cc06-1-SamSummary-class: Class "SamSummary"

In ClassComparison: Classes and Methods for "Class Comparison" Problems on Microarrays

Description

An implementation class. Users are not expected to create these objects directly; they are produced as return objects from the summary method for Sam.

Slots

fdr:

numeric scalar between 0 and 1 specifying the expected false discovery rate

hi:

Upper threshold for significance

lo:

Lower threshold for significance

cutoff:

numeric scalar specified in the call to the Sam summary method.

significant.calls:

vector of logical values

average.false.count:

The average number of false positives in the permuted data at this cutoff level.

Methods

show

signature(object = SamSummary): Print the object, which contains a summary of the underlying Sam object.

Author(s)

Kevin R. Coombes [e-mail]

See Also

Sam

Examples

showClass("SamSummary")

Example output

Loading required package: oompaBase
Class "SamSummary" [package "ClassComparison"]

Slots:
                                                                  
Name:                  fdr                  hi                  lo
Class:             numeric             numeric             numeric
                                                                  
Name:               cutoff   significant.calls average.false.count
Class:             numeric             logical             numeric

ClassComparison documentation built on May 6, 2019, 5:02 p.m.