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ngood==2 gives a crash for the calculation of pearson correlation coefficient, because ngood=2 gives only one pixel to be correlated
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`table` method of `Desc()` with `verbose = 3` returns many hypothesis tests and Pearson and Spearman correlation coefficients with confidence intervals, e.g., #41
And `Desc(num ~num)` method does n…
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Conclusion for each approach
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Hi,
I have noticed that I get discrepancies in correlation coefficients if the compare the output from the partial correlation in cor_test to the output from pcor.test in ppcor. This happens for Sp…
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I ran the `test_pretrained.py` script to calculate the correlation coefficient on a validation sample, and got `0.5963` as expected. However, when I inspected the target and predictions, the shapes we…
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Hello,
The API webpage ([here](https://openturns.github.io/openturns/latest/user_manual/user_manual.html)) of the documentation is often very helpful to quickly find existing algorithms. However, t…
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(h/t @jmgirard)
https://arxiv.org/abs/1811.11440
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`mzUtils::correlation()` appears to be returning too good of a score.
The values do not agree with `Pearson`, `Spearman`, or `Kendall` correlation coefficients implemented in `R`.
This is probably a…
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Hello,
I've encountered an issue with the `Assortativity` class in Networkit. When comparing the assortativity coefficient calculated by Networkit and Networkx for the same graph, I noticed a discr…
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### Description
In the actual scenario, I consider how to calculate the spearman correlation matrix with a dataframe of 2 million multiplied by 4000 variables, and the calculation efficiency is hi…