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Let's say I have a lot of values around 0,1 and a few around 10. I have mapped them i.e., with:
geom_point(aes(size=value)) ..which gives me an image like this: 
It is hard to see the very small points. So I was wondering if I could set the scaling frame for the dot sizes. With:
scale_size_area(max_size=8) I can set the max size but not a min size. I could log10 my data resulting in almost no point size difference. It would be perfect to define a minimum size and a maximum leaving out a specified distribution (like it is possible with scale_colour_gradient for example).
820
The function geom_point() adds a layer of points to your plot, which creates a scatterplot.
geom_path has a default size of 0.5 #4094.
You can change the number to plot different shapes, i.e. geom_point(shape = x) . If you want to change point shapes based on a grouping variable, then first set the shape with the grouping variable in geom_point and then use scale_shape_manual to choose the desired shapes (optional).
To color the points in a scatterplot using ggplot2, we can use colour argument inside geom_point with aes. The color can be passed in multiple ways, one such way is to name the particular color and the other way is to giving a range or using a variable.
If you look in ?scale_size you'll see range argument:
df <- data.frame(x = 1:10,y = runif(10),sz = c(rep(1,8),10,10)) ggplot(df,aes(x = x,y = y,size = sz)) + geom_point() + scale_size_continuous(range = c(2,4)) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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