is about is denoted by has value normal distribution hypothesis effect size estimate correlation coefficient continuous variable Pearson's correlation coefficient true 2 Orlaith Burke Alejandra Gonzalez-Beltran Pearson product-moment correlation coefficient Pearson's r Philippe Rocca-Serra STATO, adapted from http://www.r-tutor.com/elementary-statistics/numerical-measures/correlation-coefficient and from: http://stamash.org/pearsons-correlation-coefficient/ http://stamash.org/kendalls-tau-correlation/ The Pearson's correlation coefficient is a correlation coefficient which evaluates two continuous variables for association strength in a data sample. It assumes that both variables are normally distributed and linearity exists. The coefficient is calculated by dividing their covariance with the product of their individual standard deviations. It is a normalized measurement of how the two are linearly related. cor(x, y = NULL, use = "everything",method = c("pearson")) http://stat.ethz.ch/R-manual/R-patched/library/stats/html/cor.html r statistics scipy.stats.pearsonr(x, y) http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.pearsonr.html#scipy.stats.pearsonr source: https://github.com/scipy/scipy/blob/v0.15.1/scipy/stats/stats.py#L2427 ready for release