geom_meta_diamond_h: Meta-analysis diamond

In rcalinjageman/esci: Estimation Statistics with Confidence Intervals

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",
)

rcalinjageman/esci documentation built on March 29, 2024, 7:30 p.m.