Exaggerated geometries that do not train scales
geom_point_exaggerate(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
exaggerate_x = 1,
exaggerate_y = 1,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
geom_line_exaggerate(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
exaggerate_x = 1,
exaggerate_y = 1,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
geom_lineh_exaggerate(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
exaggerate_x = 1,
exaggerate_y = 1,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
geom_area_exaggerate(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
exaggerate_x = 1,
exaggerate_y = 1,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
geom_areah_exaggerate(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
exaggerate_x = 1,
exaggerate_y = 1,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
See parent geometries
The factor by which to exaggerate x or y values
A subclass of ggplot2::Geom.
library(ggplot2)
ggplot(keji_lakes_plottable, aes(x = rel_abund, y = depth)) +
geom_lineh_exaggerate(exaggerate_x = 2, lty = 2) +
geom_col_segsh() +
scale_y_reverse() +
facet_abundanceh(vars(taxon), grouping = vars(location)) +
labs(y = "Depth (cm)")