Description Usage Arguments Value References See Also Examples
Apply z-test for difference between auc_1 and auc_2 using FBH method.
1 | fbh_test(auc_1, auc_2, n_p, n_n)
|
auc_1 |
value of A' statistic (or AUC, or Area Under the Receiver operating characteristic curve) for the first group (numeric). |
auc_2 |
value of A' statistic (or AUC, or Area Under the Receiver operating characteristic curve) for the second group (numeric). |
n_p |
number of positive observations (needed for calculation of standard error of Wilcoxon statistic) (numeric). |
n_n |
number of negative observations (needed for calculation of standard error of Wilcoxon statistic) (numeric). |
numeric, single aggregated z-score of comparison A'_1 - A'_2.
Fogarty, Baker and Hudson, Case Studies in the use of ROC Curve Analysis for Sensor-Based Estimates in Human Computer Interaction, Proceedings of Graphics Interface (2005) pp. 129-136.
Other fbh method: auc_compare
,
se_auc
1 2 3 4 5 |
[1] 0
[1] -1.950644
[1] 1.950644
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