Make geom's bigger based on density in ggplot

Question

I'm currently mapping out values as Geoms on ggplot. These values are on the y axis and their categories are on the x axis.

Data looks something like this:

Value   condition
1         TRUE
1         TRUE
1         TRUE
6         TRUE
10        TRUE

Minimal running example:

df <- data.frame(c(1,1,1,1,1,2,3,3,1,6), TRUE) 
colnames(df) <- c("value", "condition")
ggplot(df, aes(x = condition, y = value)) + geom_point()

So for instance, at value 1 under condition TRUE, how could I make the dot (or whatever shape) larger than the others, as it has a larger number of data points there.

6 ones has more data points than 3 threes or 1 two or 1 six. So one would be the biggest in this example, 3 would be next, while 2 and 6 would be the same size

Answer 1

Using the dplyr package, you can reshape your data. Then, you can draw a figure.

mydf <- data.frame(c(1,1,1,1,1,1,2,3,3,1,6), TRUE) 
colnames(mydf) <- c("value", "condition")

library(dplyr)
count(mydf, condition, value) -> mydf2 

ggplot(mydf2, aes(x = condition, y = value, size = n)) + geom_point()