Añadiendo la posibilidad de cambiar el método de correlación.
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ggcorrplot<-function(df, var, color="#FFFFFF00", stat="signif", tri="all"){
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ggcorrplot<-function(df, var, color="#FFFFFF00", stat="signif", tri="all", method="pearson"){
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m.df<-df %>% spread(Cyt, Value) %>% select(-pats)
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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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mcor<-cor(m.df, m.df, use="pairwise.complete.obs", method = method) # Por defecto usa el método de Pearson.
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mpval<-Hmisc::rcorr(as.matrix(m.df))$P
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mpval<-Hmisc::rcorr(as.matrix(m.df), type=method)$P
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order<- mcor %>% as.data.frame() %>% add_column(Var1=rownames(mcor),.before=1) %>% clustsort
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order<- mcor %>% as.data.frame() %>% add_column(Var1=rownames(mcor),.before=1) %>% clustsort
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