cc06-1-SamSummary-class: Class "SamSummary"
In ClassComparison: Classes and Methods for "Class Comparison" Problems on Microarrays
SamSummary-class R Documentation
Class "SamSummary"
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 krc@silicovore.com
See Also
Sam
Examples
showClass("SamSummary")
ClassComparison documentation built on Nov. 21, 2024, 3:01 a.m.
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| SamSummary-class | R Documentation |
Class "SamSummary"
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
0and1specifying the expected false discovery ratehi:Upper threshold for significance
lo:Lower threshold for significance
cutoff:numeric scalar specified in the call to the
Samsummarymethod.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 underlyingSamobject.
Author(s)
Kevin R. Coombes krc@silicovore.com
See Also
Sam
Examples
showClass("SamSummary")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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