Añadida explicación de coeficiente de correlación.

2022-02-08 12:55:01 +01:00
parent 171df0f3a9
commit 69d5674814
1 changed files with 7 additions and 1 deletions
@@ -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")
-```