From 69d56748143a34dde850c35fb2ddfc0a11c8b70e Mon Sep 17 00:00:00 2001
From: Costa <47926492N@ICO.SCS.local>
Date: Tue, 8 Feb 2022 12:55:01 +0100
Subject: [PATCH] =?UTF-8?q?A=C3=B1adida=20explicaci=C3=B3n=20de=20coeficie?=
 =?UTF-8?q?nte=20de=20correlaci=C3=B3n.?=
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---
 vignettes/citfuns.Rmd | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/vignettes/citfuns.Rmd b/vignettes/citfuns.Rmd
index 3bddddd..ad21954 100644
--- a/vignettes/citfuns.Rmd
+++ b/vignettes/citfuns.Rmd
@@ -123,8 +123,14 @@ By default, ggcorrplot converts the p-value into *star* significance equivalence
 ggcorrplot(df, var = "Cyt", value = "Value", color = "white", stat="pval")
 ```
 
+ggcorrplot uses "pearson" by default to obtain a correlation coeficient, although "spearman" is also available.
+
+```{r, fig.width=5, fig.height=4}
+ggcorrplot(df, var = "Cyt", value = "Value", color = "white", stat="pval", method="spearman")
+```
+
+
 Finally, you can show only the upper part or the lower part of the specular matrix.
 
 ```{r, fig.width=5, fig.height=4}
 ggcorrplot(df, var = "Cyt", value = "Value", color = "black", tri="lower")
-```
\ No newline at end of file