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--- visual3d:documentation:pipeline:metric_commands:metric_compute_confidence_ellipse [2025/10/31 19:04] – [Example: Computing Confidence Ellipse for COFP] wikisysop
+++ visual3d:documentation:pipeline:metric_commands:metric_compute_confidence_ellipse [2025/10/31 19:12] (current) – [Notes] wikisysop
@@ Line 86: / Line 86: @@
 The metric for this example contains 3 components, with 3 values for each component. The results are as follows:
-Frame 1:\
+Frame 1:
-X - Volume\
+|X| Volume|
-Y - average of all frames of input component 1\
+|Y| average of all frames of input component 1|
-Z - average of all frames of input component 2\
+|Z| average of all frames of input component 2|
-Frame 2: (for input component 2)\
+Frame 2: (for input component 1)
-: Eigenvalue\
+|1| Eigenvalue|
-: eigenvector\
+|2| Eigenvector|
-: eigenvector\
+|3| Eigenvector|
-Frame 3: same as frame 2, but for input component 2\
+Frame 3: same as frame 2, but for input component 2
 If you have two input components, frame 1 X is the area, if you have three input components, Frame 1, X is the volume.
@@ Line 114: / Line 115: @@
 For more information see, [[http://www.real-statistics.com/multivariate-statistics/multivariate-normal-distribution/confidence-hyper-ellipse-eigenvalues/|confidence hyper ellipse eigenvalues]].
-Resulting Signal, Frame 1 contains volume and average value
-Starting at frame 2, one frame for each dimension containing the eigenvalue and eigenvector (e.g. scale and unit vector)