# install.packages("devtools")
#devtools::install_github("EvaMaeRey/ggxmean")26 geom_x
26.1 geom_x_label
Package
ggxmean (Reynolds 2024)
geom_x_line
Package
ggxmean (Reynolds 2024)
26.2 geom_x_mean
Package
ggxmean (Reynolds 2024)
geom_x_mean_label
26.3 geom_x_median
Package
ggxmean (Reynolds 2024)
26.4 geom_x_percentile
Package
ggxmean (Reynolds 2024)
26.5 geom_x_quantile
Package
ggxmean (Reynolds 2024)
26.6 geom_xmax
Package
ggxmean (Reynolds 2024)
26.7 geom_xmin
Package
ggxmean (Reynolds 2024)
26.8 geom_xy_means
Package
ggxmean (Reynolds 2024)
Description
Place point at mean of x and mean of y
Understandable aesthetics
required aesthetics
x, y
See also
Example
library(ggxmean)
a1 <- worldbankdata |>
ggplot(aes(x = Income, y = Cooking)) +
geom_xy_means(na.rm=TRUE, col="red", size=4) +
ggtitle("a1: geom_xy_means only")
a2 <- worldbankdata |>
ggplot(aes(x = Income, y = Cooking)) +
geom_point(alpha=0.5) +
geom_xy_means(na.rm=TRUE, col="red", size=4) +
ggtitle("a2: geom_points and geom_xy_means")
a1|a2Warning: Removed 6047 rows containing missing values (`geom_point()`).
26.9 geom_xy_xymean
Example
library(ggxmean)
worldbankdata |>
ggplot(aes(x = Income, y = Cooking)) +
geom_xy_xymean(na.rm=TRUE, size=3) 