# When should I use each of these methods to calculate correlation?

I am using R for data analysis. R provides a corr function for calculating the correlation. This function provides three different approaches/algorithms to estimating the corr which are Pearson, Spearman and Kendall. When should I use each of each of these methods? What factors determine which method should be used?

• Although this is in the context of R, the question is indeed about the difference between three statistical measures. I'd say migrate too. – Sean Owen Jun 26 '14 at 22:30
• This question has already been asked at stats.stackexchange.com/questions/45897/… (but has not yet gotten any answers). Our site has extensive material on correlation, especially comparing Pearson and Spearman coefficients: see the search results at stats.stackexchange.com/…. – whuber Jun 26 '14 at 22:35