Comparison of data by Pearson product-moment correlation coefficients is prone to outliers. The problem can be alleviated by normalizing data with outliers before computing the Pearson correlation coefficient. The sample provides such normalization by optimal power space transformation.
| Version: | 1.0 |
| Published: | 2012-02-20 |
| Author: | Micha Sammeth |
| Maintainer: | Micha Sammeth <micha at sammeth.net> |
| License: | Apache License 2.0 |
| NeedsCompilation: | no |
| CRAN checks: | ops results |
| Reference manual: | ops.pdf |
| Package source: | ops_1.0.tar.gz |
| Windows binaries: | r-devel: ops_1.0.zip, r-release: ops_1.0.zip, r-oldrel: ops_1.0.zip |
| macOS binaries: | r-release: ops_1.0.tgz, r-oldrel: ops_1.0.tgz |
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