You need to create a named list of colors and then use the scale_fill_manual
function.
#A General way of creating a name list of colors
# col<-c("A" = "red", "B"="black", "C"="black", "D"="blue")
col<-rep("black", length(unique(df$func1)))
names(col) <- unique(df$func1)
col[which(names(col)=="A")] <- 'red'
col[which(names(col)=="D")] <- 'blue'
library(ggtern)
g <- ggtern(data=df, aes(x=Cond1,y=Cond2,z=Cond3)) +
theme_bw() +
geom_point(aes(fill=func1), shape=21, colour="black" ) +
scale_fill_manual(values=col) +
labs(x="Cond1",y="Cond2",z="Cond3") +
scale_T_continuous(breaks=unique(df$x))+
scale_L_continuous(breaks=unique(df$y))+
scale_R_continuous(breaks=unique(df$z))
print(g)
Update
ggplot plots the different layers in order that they are defined. In order to plot the A & D points on top of the other points, one can add another geom_point definition after the original one.
Here I created a subset of the A&D points and plotted them over the initial set.
df_ad <- df[(df$func1=="A" | df$func1=="D"),]
ggtern(data=df, aes(x=Cond1,y=Cond2,z=Cond3)) +
theme_bw() +
geom_point(aes(fill=func1), shape=21, colour="black" ) +
geom_point(data=df_ad, aes(x=Cond1,y=Cond2,z=Cond3, fill=func1), shape=21) +
scale_fill_manual(values=col) #+ ....
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