geom_ssdpoint {ssdtools} | R Documentation |
Species Sensitivity Data Points
Description
Uses the empirical cumulative distribution to create scatterplot of points x
.
Usage
geom_ssdpoint(
mapping = NULL,
data = NULL,
stat = "ssdpoint",
position = "identity",
...,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
geom_ssd(
mapping = NULL,
data = NULL,
stat = "ssdpoint",
position = "identity",
...,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
Arguments
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this
layer, either as a |
position |
Position adjustment, either as a string naming the adjustment
(e.g. |
... |
Other arguments passed on to |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
Details
geom_ssd()
has been deprecated for geom_ssdpoint()
.
Functions
-
geom_ssd()
: Species Sensitivity Data PointsUses the empirical cumulative distribution to create scatterplot of points
x
.
See Also
Other ggplot:
geom_hcintersect()
,
geom_ssdsegment()
,
geom_xribbon()
,
scale_colour_ssd()
,
ssd_pal()
Examples
ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +
geom_ssdpoint()
## Not run:
ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +
geom_ssd()
## End(Not run)