#Data frame is Flower. Trying to scatter plot the growth (height, rate) of two different species of flowers (Rose, Daisy).
FlowerPlot <- ggplot(Flower, aes(Height, Rate))
geom_point(size=7, color = red)
theme_bw()
theme(text = element_text(size=15)
#This gives me a scatterplot with all the species (Roses, Daisy) as one. How do I plot two species as two different colors on the same plot?
I tried Factor
and it failed.
Flowerplot(flowers, aes(Height, Rate, color=factor(Flower$Species)))
geom_point(size=7, color = factor(Flower$Species)
theme_bw()
theme(text = element_text(size=15))
#Is there a way to do something like Flower$Species$Rose
? (I know I can't actually do this but something to this extent?
Note: I cannot post the entire data frame because it's massive.
CodePudding user response:
Your color
argument should probably be the Species
column instead of red
.
FlowerPlot <- ggplot(Flower, aes(Height, Rate))
geom_point(size=7, color = Species)
theme_bw()
theme(text = element_text(size=15)
Don't think of the color
argument as 'what color should I use to plot?'. Instead, think of the argument as asking `what feature of the data should I use to group similar points together?'
By using the Species
column, you are telling ggplot: "All points with the same species
value should have the same color."
When you say that factor(Flower$Species)
did not work, can you explain / show what it did and what you were expecting?
CodePudding user response:
Ans: Need to remove everything from geom_point other than size and add one more )
after Species
Flowerplot <- ggplot(Flower, aes(Height,
Rate, color=factor(Species)))
geom_point(size=1)
theme_bw()