BinarizationResult-class | R Documentation |
This is the base class for objects that store the results of a binarization algorithm. It defines the slots and methods that the results of all algorithms share.
Objects of this class shouldn't be created directly. They are created implicitly by a call to one of the binarizeation algorithms.
originalMeasurements
:A numeric vector storing the input measurements.
binarizedMeasurements
:An integer vector of binarized values (0 or 1) corresponding to the original measurements.
threshold
:The threshold that separates 0 and 1.
method
:A string describing the binarization method that yielded the result.
p.value
:The p-value obtained by a test for validity of the binarization (e.g. BASC bootstrap test, Hartigan's dip test for k-means binarization, scan statistic p-value for best window. If no test was performed, this is NA
.
signature(x = "BinarizationResult")
: Plot the binarization and the threshold.
signature(x = "BinarizationResult")
: Print a summary of the binarization.
signature(object = "BinarizationResult")
: ...
binarize.BASC
,
binarize.kMeans
,
BASCResult
,
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.