Pearson, Spearman and Kendall Correlation Coefficients, by Hand
<p>Instatistics, a correlation is used to evaluate the relationship between two variables.</p>
<p>In a previous post, we showed how to <a href="https://statsandr.com/blog/correlation-coefficient-and-correlation-test-in-r/" rel="noopener ugc nofollow" target="_blank">compute a correlation and perform a correlation test in R</a>. In this post, we illustrate how to compute the Pearson, Spearman, and Kendall correlation coefficients by hand and under two different scenarios (i.e., with and without ties).</p>
<h1>Data</h1>
<p>To illustrate the methods with and without ties, we consider two different datasets, one with ties and another without ties.</p>
<p><a href="https://towardsdatascience.com/pearson-spearman-and-kendall-correlation-coefficients-by-hand-d2e1676ca73f"><strong>Read More</strong></a></p>