[ENH] Correlations: fixes and enhancements#3591
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VesnaT
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| metas = [StringVariable("Feature 1"), StringVariable("Feature 2")] | ||
| domain = Domain([ContinuousVariable("Correlation")], metas=metas) | ||
| metas = list(map(StringVariable, ["Feature 1", "Feature 2"])) | ||
| attrs = list(map(ContinuousVariable, ["Correlation", "p-Value"])) |
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I object to calling this a "p-value". I hope I haven't written https://blog.biolab.si/2019/01/04/how-to-abuse-p-values-in-correlations/ in vain. :)
As soon as we call this a p-value, people will call the top 5% correlations (or more, if the data is not random) statistically significant.
@BlazZupan, any ideas how to call this?
| POSITIVE_COLOR = QColor(170, 242, 43) | ||
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| threadStopped = Signal() | ||
| pValRole = next(gui.OrangeUserRole) |
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I'd prefer go with the naming style (not statistics) and call this PValRole.
Well, I'd sure prefer calling this role something completely else, as noted in another comment.
Codecov Report
@@ Coverage Diff @@
## master #3591 +/- ##
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Coverage ? 84.03%
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Files ? 370
Lines ? 67080
Branches ? 0
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Hits ? 56368
Misses ? 10712
Partials ? 0 |
Codecov Report
@@ Coverage Diff @@
## master #3591 +/- ##
==========================================
+ Coverage 84.07% 84.11% +0.04%
==========================================
Files 370 370
Lines 67268 67364 +96
==========================================
+ Hits 56554 56664 +110
+ Misses 10714 10700 -14 |
VesnaT
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We decided to replace p-Value with False discovery rate. |
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Issue
Fixes #3504
Heuristic will be updates in a following PR.
Description of changes
Includes