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Añadida explicación de coeficiente de correlación.

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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(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. Finally, you can show only the upper part or the lower part of the specular matrix.
```{r, fig.width=5, fig.height=4} ```{r, fig.width=5, fig.height=4}
ggcorrplot(df, var = "Cyt", value = "Value", color = "black", tri="lower") ggcorrplot(df, var = "Cyt", value = "Value", color = "black", tri="lower")
```

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