Editing Pearson correlation coefficient (section)

==Software implementations==
* [[R (programming language)|R]]'s statistics base-package implements the correlation coefficient with <code>cor(x, y)</code>, or (with the P value also) with [http://stat.ethz.ch/R-manual/R-patched/library/stats/html/cor.test.html <code>cor.test(x, y)</code>].
* The [[SciPy]] [[Python (programming language)|Python]] library via [https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.pearsonr.html <code>pearsonr(x, y)</code>].
* The [[Pandas (software)|Pandas]] and Polars Python libraries implement the Pearson correlation coefficient calculation as the default option for the methods [https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.corr.html <code>pandas.DataFrame.corr</code>] and [https://docs.pola.rs/api/python/stable/reference/expressions/api/polars.corr.html <code>polars.corr</code>], respectively.
* [[Wolfram Mathematica]] via the [https://reference.wolfram.com/language/ref/Correlation.html <code>Correlation</code>] function, or (with the P value) with [https://reference.wolfram.com/language/ref/CorrelationTest.html <code>CorrelationTest</code>].
* The [[Boost (C++ libraries)|Boost]] [[C++]] library via the [https://www.boost.org/doc/libs/1_76_0/libs/math/doc/html/math_toolkit/bivariate_statistics.html <code>correlation_coefficient</code>] function.
* [[Excel]] has an in-built [https://support.microsoft.com/en-us/office/correl-function-995dcef7-0c0a-4bed-a3fb-239d7b68ca92 <code>correl(array1, array2)</code>] function for calculating the Pearson's correlation coefficient.