ggheatmap<-function(df, x=NULL, y=NULL, value=NULL, grouping="mean"){
|
|
if (is.null(x)){x=colnames(df)[1]}
|
|
if (is.null(y)){y=colnames(df)[2]}
|
|
if (is.null(value)){value=colnames(df)[3]}
|
|
|
|
df<-rename(df, "VarX"=all_of(x), "VarY"=all_of(y), "Value"=all_of(value))
|
|
|
|
if (grouping == "mean"){
|
|
df<-df %>% group_by(VarX,VarY) %>% summarise(Value=mean(Value))
|
|
}
|
|
if (grouping == "median"){
|
|
df<-df %>% group_by(VarX,VarY) %>% summarise(Value=median(Value))
|
|
}
|
|
|
|
order<-clustsort(df %>% spread(VarY,Value) %>% as.data.frame)
|
|
|
|
df$VarX<-factor(df$VarX, levels=order$x)
|
|
df$VarY<-factor(df$VarY, levels=order$y)
|
|
|
|
df %>%
|
|
ggplot(aes(VarX, VarY, fill=Value))+
|
|
labs(x=x, y=y)+
|
|
theme_heatmap()
|
|
}
|