Hello,
Your example is not reproducible but here it goes.
Data:
df1 <- iris[c(1, 2, 5)]
Use scale_size_manual.
1. If Stage is a factor or character
df1$Stage <- "a"
p <- ggplot(df1, aes(Sepal.Length, Sepal.Width, color = Species))
p1 <- p +
geom_point(aes(size = Stage), alpha = 1/3) +
xlab ("X") +
ylab("Y") +
geom_smooth(method = 'loess', formula = y ~ x)
2. If Stage is numeric, coerce to factor manually
df1$Stage <- 5
p <- ggplot(df1, aes(Sepal.Length, Sepal.Width, color = Species))
p1 <- p +
geom_point(aes(size = factor(Stage)), alpha = 1/3) +
xlab ("X") +
ylab("Y") +
geom_smooth(method = 'loess', formula = y ~ x)
Then add the scale_size
p1 + scale_size_manual(values = 0.8)
Hope this helps,
Rui Barradas
?s 16:05 de 30/09/20, Medic escreveu:> The code works as I want, but the points are too big. How to decrease
> them? (Where to insert: size = 0.8?)
> p1 <- p + geom_point(aes(size = Stage), alpha = 1/3) + xlab
("X") +
> ylab("Y") + geom_smooth()
>
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