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)
You could also create your own stat to calculate the line for you. Adapting the example from the extending ggplot2 guide You can make
StatMeanLine <- ggproto("StatMeanLine", Stat,
compute_group = function(data, scales) {
transform(data, yintercept=mean(y))
},
required_aes = c("x", "y")
)
stat_mean_line <- function(mapping = NULL, data = NULL, geom = "hline",
position = "identity", na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, ...) {
layer(
stat = StatMeanLine, data = data, mapping = mapping, geom = geom,
position = position, show.legend = show.legend, inherit.aes = inherit.aes,
params = list(na.rm = na.rm, ...)
)
}
Then you could use it like
ggplot(mtcars, aes(mpg, cyl)) +
stat_mean_line(color="red") +
geom_point() +
facet_wrap(~ gear)
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