I have the following code for my ggplot - the facet_wrap function draws out 20 plots on the page for each Name and there are 5 Pcode along the x-axis. I would like to calculate the average TE.Contr for each Name and plot that value as a horizontal line on each of the plots (which are split out by Facet_wrap). Currently my codes plots the average of ALL TE.Contr. values instead of the average TE.Contr. of the specific Name.
T<-ggplot(data = UKWinners, aes(x = Pcode, y = TE.Contr., color = Manager)) + geom_point(size =3.5)+ geom_hline(aes(yintercept = mean(TE.Contr.)))
T<-T + facet_wrap(~ Name, ncol = 5)
Minimal example using mtcars
- you have to create a data frame with mean for each gear
(in your case it's Name
).
library(tidyverse)
dMean <- mtcars %>%
group_by(gear) %>%
summarise(MN = mean(cyl))
ggplot(mtcars) +
geom_point(aes(mpg, cyl)) +
geom_hline(data = dMean, aes(yintercept = MN)) +
facet_wrap(~ gear)
For your case this should work:
library(tidyverse)
dMean <- UKWinners %>%
group_by(Name) %>%
summarise(MN = mean(TE.Contr.))
ggplot(UKWinners) +
geom_point(aes(Pcode, TE.Contr.)) +
geom_hline(data = dMean, aes(yintercept = MN)) +
facet_wrap(~ Name)