geom_meta_diamond_h {esci} | R Documentation |
Meta-analysis diamond
Description
geom_meta_diamond_h
creates a horizontal meta-analytic diamond
defined by an x
value (horizontal center of diamond), xmin
and xmax
values (for the horizontal ends of the diamond), a y
value (for the
vertical placement of the diamond) and a height
(for the vertical height
of the diamond). Note the use of xmin
and xmax
allows for representation
of asymmetric confidence intervals with this geom.
Usage
geom_meta_diamond_h(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
Arguments
mapping |
Set of aesthetic mappings created by aes() . If specified and
inherit.aes = TRUE (the default), it is combined with the default mapping
at the top level of the plot. You must supply mapping if there is no plot
mapping.
|
data |
The data to be displayed in this layer. There are three
options:
If NULL , the default, the data is inherited from the plot
data as specified in the call to ggplot() .
A data.frame , or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify() for which variables will be created.
A function will be called with a single argument,
the plot data. The return value must be a data.frame , and
will be used as the layer data. A function can be created
from a formula (e.g. ~ head(.x, 10) ).
|
stat |
The statistical transformation to use on the data for this
layer, either as a ggproto Geom subclass or as a string naming the
stat stripped of the stat_ prefix (e.g. "count" rather than
"stat_count" )
|
position |
Position adjustment, either as a string naming the adjustment
(e.g. "jitter" to use position_jitter ), or the result of a call to a
position adjustment function. Use the latter if you need to change the
settings of the adjustment.
|
... |
Other arguments passed to the geom. These are often aesthetics,
used to set an aesthetic to a fixed value, like colour = "red" or
linewidth = 3 (see Aesthetics, below).
##Aesthetics ##
geom_meta_diamond_h understands the following aesthetics (required are
in bold):
-
x - The horizontal center of the diamond
-
y - The vertical placement of the diamond
-
xmin - The left-side start of the diamond
-
xmax - The right-side start of the diamond
-
height - The vertical span of the diamond
|
na.rm |
If FALSE , the default, missing values are removed with
a warning. If TRUE , missing values are silently removed.
|
show.legend |
logical. Should this layer be included in the legends?
NA , the default, includes if any aesthetics are mapped.
FALSE never includes, and TRUE always includes.
It can also be a named logical vector to finely select the aesthetics to
display.
|
inherit.aes |
If FALSE , overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders() .
|
Examples
# example code
library(ggplot2)
my_effects <- data.frame(
effect_size = c(1, 2, 1, 0),
UL = c(2, 3, 2, 1),
LL = c(0, 1, 0, -1),
y = c(1, 2, 3, 4)
)
myplot <- ggplot2::ggplot()
myplot <- myplot + geom_meta_diamond_h(
data = my_effects,
ggplot2::aes(
x = effect_size,
xmin = LL,
xmax = UL,
y = y
),
height = 0.25,
color = "black",
fill = "red",
)
[Package
esci version 1.0.2
Index]