From b6379cb1f32a1365f21ad1a9dc6bad2b8d1d26bf Mon Sep 17 00:00:00 2001 From: paulzierep Date: Thu, 1 Aug 2024 12:34:52 +0200 Subject: [PATCH] Update topics/microbiome/tutorials/diversity/tutorial.md --- topics/microbiome/tutorials/diversity/tutorial.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/microbiome/tutorials/diversity/tutorial.md b/topics/microbiome/tutorials/diversity/tutorial.md index 3d0414de8e9238..0de5d62644899e 100644 --- a/topics/microbiome/tutorials/diversity/tutorial.md +++ b/topics/microbiome/tutorials/diversity/tutorial.md @@ -410,7 +410,7 @@ Multidimensional diversity metrics offer a **more nuanced and holistic perspecti > # Rényi entropy > > Rényi entropy is a concept in information theory and statistical physics introduced by Alfréd Rényi, a Hungarian mathematician. It is a generalization of the Shannon entropy, which measures the uncertainty or information content of a random variable or probability distribution. -The Rényi entropy of a discrete probability distribution is defined by the parameter α, which determines the order of the entropy. The formula for calculating Rényi entropy is: +> The Rényi entropy of a discrete probability distribution is defined by the parameter α, which determines the order of the entropy. The formula for calculating Rényi entropy is: > > $$ Hα(P) = 1 / (1 - α) * log₂(∑(i=1 to N) pi^α) $$ >