Asked this question the other day but no one could visualize my question so ive made an example.
A <- c(\'a\',\'b\', \'c\',\'d\',\'e\')
types <- fa
I'm certain this is no longer relevant for the OP but the best solution I found to this problem is simpler than what is currently posted and is almost written into the question itself.
The OP's wish of assigning a manualy defined shape or colour using something like
"scale_shape_manual(values=('a'=15, 'b'=18, 'c'=16, 'd'=17, 'e'=19))
"
only requires the assignments to be passed as a vector as in,
scale_shape_manual(values = c('a'=15, 'b'=18, 'c'=16, 'd'=17, 'e'=19))
jlhoward's answer is better if you want autogenerated colours. Whereas the script I offer bellow requires fewer lines of code. Users choice.
A <- c('a','b', 'c','d','e')
types <- factor(A)
B <- c(1,2,3,4,5)
C <- c(6,7,8,9,10)
D <- c(1,2,1,2,3)
ABC <- data.frame(B,C,D,types)
library(ggplot2)
ggplot(ABC, aes(x=B ,y=C ,size=D, colour=as.factor(types),label=types, shape=as.factor(types))) +
geom_point()+geom_text(size=2, hjust=0,colour="black", vjust=0) +
scale_size_area(max_size=20, "D", breaks=c(100,500,1000,3000,5000)) +
scale_x_log10(lim=c(0.05,10),breaks=c(0.1,1,10))+
scale_y_continuous(lim=c(0,30000000)) +
scale_shape_manual(values = c('a'=15, 'b'=18, 'c'=16, 'd'=17, 'e'=19)) +
scale_colour_manual(values = c('a'="tomato", 'b'="yellow4", 'c'="palegreen2", 'd'="deepskyblue1", 'e'="orchid3"))`
If I'm understanding you correctly, there will always be (at most) the five categories "a" - "e", and you want the shapes and colors for these to be consistent across datasets. Here is one way (note: gg_color_hue(...)
is from here):
# set up shapes
shapes <- c(15,18,16,17,19)
names(shapes) <- letters[1:5]
# set up colors
gg_color_hue <- function(n) { # ggplot default colors
hues = seq(15, 375, length=n+1)
hcl(h=hues, l=65, c=100)[1:n]
}
colors <- gg_color_hue(5)
names(colors) <- names(shapes)
# original data
ggplot(ABC, aes(x=B ,y=C ,size=D, colour=types,label=types, shape=types)) +
geom_point()+geom_text(size=2, hjust=0,colour="black", vjust=0) +
scale_size_area(max_size=20, "D", breaks=c(100,500,1000,3000,5000)) +
scale_x_log10(lim=c(0.05,10),breaks=c(0.1,1,10))+
scale_y_continuous(lim=c(0,30000000)) +
scale_shape_manual(values=shapes) + scale_color_manual(values=colors)
#new data
DEF <- data.frame(B,C,D,types=factor(c("a","a","a","d","e")))
ggplot(DEF, aes(x=B ,y=C ,size=D, colour=types,label=types, shape=types)) +
geom_point()+geom_text(size=2, hjust=0,colour="black", vjust=0) +
scale_size_area(max_size=20, "D", breaks=c(100,500,1000,3000,5000)) +
scale_x_log10(lim=c(0.05,10),breaks=c(0.1,1,10))+
scale_y_continuous(lim=c(0,30000000)) +
scale_shape_manual(values=shapes) + scale_color_manual(values=colors)