see.roc.tck: Interactive depiction of ROC curves
In asbio: A Collection of Statistical Tools for Biologists
see.roc.tck R Documentation
Interactive depiction of ROC curves
Description
Sliders allow users to change distinctness of dichotomous classes (success and failure).
This will affect the ROC curve. One can also change the criteria defining what constitutes a success.
While this will not change the ROC curve (which compares true positive and false negative rates at all possible success cutoff),
it The will change empirical rates of true positives, true negatives, false positives, and false negatives given the defined cutoff.
Usage
see.roc.tck()
Author(s)
Ken Aho, inspired by a graphical demo at
http://www.anaesthetist.com/mnm/stats/roc/Findex.htm
asbio documentation built on May 29, 2024, 5:57 a.m.
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.
| see.roc.tck | R Documentation |
Interactive depiction of ROC curves
Description
Sliders allow users to change distinctness of dichotomous classes (success and failure). This will affect the ROC curve. One can also change the criteria defining what constitutes a success. While this will not change the ROC curve (which compares true positive and false negative rates at all possible success cutoff), it The will change empirical rates of true positives, true negatives, false positives, and false negatives given the defined cutoff.
Usage
see.roc.tck()
Author(s)
Ken Aho, inspired by a graphical demo at http://www.anaesthetist.com/mnm/stats/roc/Findex.htm
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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