From a86962cbfd0321387c920a04188512d0de2f3036 Mon Sep 17 00:00:00 2001
From: KatolaZ <katolaz@yahoo.it>
Date: Mon, 19 Oct 2015 16:30:12 +0100
Subject: First commit of MAMMULT documentation

---
 .../structure/correlations/compute_pearson.tex     | 28 ++++++++++++++++++++++
 1 file changed, 28 insertions(+)
 create mode 100644 doc/latex/latex/structure/correlations/compute_pearson.tex

(limited to 'doc/latex/latex/structure/correlations/compute_pearson.tex')

diff --git a/doc/latex/latex/structure/correlations/compute_pearson.tex b/doc/latex/latex/structure/correlations/compute_pearson.tex
new file mode 100644
index 0000000..8202753
--- /dev/null
+++ b/doc/latex/latex/structure/correlations/compute_pearson.tex
@@ -0,0 +1,28 @@
+\myprogram{{compute\_pearson.py}}
+          {compute the Pearson's linear correlation coefficient
+          between two node properties.}  
+          {$<$file1$>$ $<$file2$>$}
+
+\mydescription{Compute the Pearson's linear correlation coefficient
+          between two sets of (either integer- or real-valued) node
+          properties provided in the input files \textit{file1}
+          and \textit{file2}. Each input file contains a list of
+          lines, where the n-th line contains the value of a node
+          property for the n-th node.  For instance, \textit{file1}
+          and \textit{file2} might contain the degrees of nodes at two
+          distinct layers of a multiplex. However, the program is
+          pretty general and can be used to compute the Pearson's
+          correlation coeffcient between any pairs of node properties.
+          }
+
+\myreturn{The program prints on \texttt{stdout} the value of the
+          Pearson's linear correlation coefficient between the two
+          sets of node properties.
+}
+
+\myreference{\refcorrelations
+
+  \refgrowth
+
+  \refnonlinear
+}
-- 
cgit v1.2.3

