diff --git a/R/ggcorrplot.R b/R/ggcorrplot.R
index ed4b866..b63666e 100644
--- a/R/ggcorrplot.R
+++ b/R/ggcorrplot.R
@@ -1,4 +1,4 @@
-ggcorrplot<-function(df, var){
+ggcorrplot<-function(df, var, color="#FFFFFF00"){
   m.df<-df %>% spread(Cyt, Value) %>% select(-pats)
   mcor<-cor(m.df, m.df, use="pairwise.complete.obs") # Por defecto usa el método de Pearson.
   mpval<-Hmisc::rcorr(as.matrix(m.df))$P
@@ -13,6 +13,6 @@ ggcorrplot<-function(df, var){
   ggplot(df, aes(Var1, Var2, fill=Value))+
     scale_x_discrete(limits=order$x)+
     scale_y_discrete(limits=order$y)+
-    theme_heatmap(line.color="black")+
+    theme_heatmap(line.color=color)+
     geom_text(data=df.pval, aes(label=round(Value, 2)))
 }