In my case, there are 100 unique (X
, Y
) points with each having an ID and belongs a Type
. In these 100 points, 20 points have values for t
To address the first comment: Some points are plotted more than once because there are multiple rows in the data with the same X
Y
coordinates. You can remove duplicate points using the code below. We first order the points based on the ordering of Val
so that the duplicates will come from Other
points, rather than from D_1
or D_4
points (though if your real data contains cases where a D_1
and a D_4
point have the same X
and Y
coordinates, only the D_1
point will be plotted).
ggplot(df %>%
mutate(Val=fct_other(Val,keep=c("D_1","D_4"))) %>%
arrange(Val) %>%
filter(!duplicated(.[,c("X","Y")])),
aes(X,Y,col=Val, size=Val)) +
geom_point() +
scale_colour_manual(values=c(D_1=hcl(15,100,65),D_4=hcl(195,100,65),Other="grey70")) +
scale_size_manual(values=c(D_1=3, D_4=3, Other=1)) +
theme_bw()
If you want to plot all D_1
and D_4
points, even if they have the same X
and Y
coordinates, you could do this:
df %>%
mutate(Val=fct_other(Val,keep=c("D_1","D_4"))) %>%
arrange(X, Y, Val) %>%
filter((c(1,diff(X)) != 0 & c(1, diff(Y)) !=0) | Val != 'Other')
Then you could use different point marker sizes to ensure that overplotted D_1
and D_4
points are both visible.
What about collapsing all the other levels of Val
like this:
library(tidyverse)
library(forcats)
ggplot(df %>% mutate(Val=fct_other(Val,keep=c("D_1","D_4"))), aes(X,Y,col=Val)) +
geom_point() +
scale_colour_manual(values=c(D_1=hcl(15,100,65),D_4=hcl(195,100,65),Other="grey70")) +
theme_bw()
You could also use size to make the desired points stand out more. For this particular data set, this approach also ensures that we can see a couple of D_1
and D_4
points that were hidden behind grey points in the previous plot.
ggplot(df %>% mutate(Val=fct_other(Val,keep=c("D_1","D_4"))), aes(X,Y,col=Val, size=Val)) +
geom_point() +
scale_colour_manual(values=c(D_1=hcl(15,100,65),D_4=hcl(195,100,65),Other="grey70")) +
scale_size_manual(values=c(D_1=3, D_4=3, Other=1)) +
theme_bw()