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https://realpython.com/linear-regression-in-python/
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Dear author @DHUDBlab, I find your work quite interesting. However, I'm a bit confused about the Pearson correlation computation implemented in your code base:
https://github.com/DHUDBlab/scDSC/blo…
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Hi,
Using the site and the DB I get different for Pearson Correlation.
For example, the gene GOT1 shows completely different results.
Which source is the correct one for Pearson Correlation results…
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Hi Boxuan,
Thank you for developing this helpful package; I’ve really enjoyed using it for exploratory data analysis.
Recently, I encountered an issue when generating a heatmap with DataExplorer…
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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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i would like to work on this project i have a plan to complete this
# KabaddiPy: Advanced Analytics Contribution
**### Correlation Analysis**
Purpose
Correlation analysis helps identify relat…
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I have two sets of paired data (n=64). Person correlation between the sets is -0.856 (precise value -0.856341390601075). Using `pg.bayesfactor_pearson(r=-0.856, n=64, alternative="two-sided")`, I rece…
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I calculated correlation between BTC price and crucial financial data such as US Treasury, Chinese Treasury, stock indices, and the dollar index.
I used IQR method to eliminate outliers
Calculated co…
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Currently, the measure of generalization error used in `summary()` is the correlation between the pooled predictions and the real values. But sklearn warns against doing so:
> Note on inappropriate…
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### Description
Need an option for Polychoric correlation matrix
### Purpose
To estimate correlations between variables better. Since EFA is made with that option, it should also be an option in t…