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