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Robust Correlation in R
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Could you have outliers in your data? If so, robust correlations can provide an estimate of a correlation coefficient that is not biased by outliers. This video shows you how to use four different robust correlation coefficients in R:
- Spearman's rho
- Kendall's tau
- Percentage bend correlation
- Winsorized correlation
Companion webpage:
Playlist with other robust statistical methods for R:
Here are two papers about the percentage bend correlation and the winsorized correlation:
And here a comparison (on Stack Exchange) between Spearman's rho and Kendall's tau:
This comparison of different methods (including one not part of the video, skipped correlations) cautions against using Pearson's and Spearman's correlation alone:
- Spearman's rho
- Kendall's tau
- Percentage bend correlation
- Winsorized correlation
Companion webpage:
Playlist with other robust statistical methods for R:
Here are two papers about the percentage bend correlation and the winsorized correlation:
And here a comparison (on Stack Exchange) between Spearman's rho and Kendall's tau:
This comparison of different methods (including one not part of the video, skipped correlations) cautions against using Pearson's and Spearman's correlation alone:
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