.orcd_k_and_g

internal

Generates prediction intervals and orchard plots for
meta-analytic and meta-regression models fitted with the 'metafor'
package. Orchard plots augment classic forest plots by displaying
individual effect sizes together with group means and their confidence
and prediction intervals, providing an enhanced visualization of
meta-analytic data for ecology, evolution, and beyond. Methods are
described in Nakagawa et al. (2023) <doi:10.1111/2041-210X.14152>.

Daniel Noble

orchaRd

Visualizing Meta-Analyses with Orchard Plots and Prediction
Intervals

Shinichi Nakagawa

.orcd_k_and_g function

<dl><dt>k.pos</dt>
<dd>Position for the annotations. Can be "right", "left", or a numeric value specifying the y-coordinate.</dd>
<dt>g</dt>
<dd>Logical. If <code>TRUE</code>, adds the g values in parentheses after k.</dd>
<dt>data_trim</dt>
<dd>A data frame containing the yi values used to calculate annotation positions.</dd>
<dt>mod_table</dt>
<dd>A data frame containing the k (and optionally g) values for each group.</dd></dl>

Arguments

Add k and g to base orchard plot — .orcd_k_and_g

<dl>

<dt>k.pos</dt>
<dd>Position for the annotations. Can be "right", "left", or a numeric value specifying the y-coordinate.</dd>


<dt>g</dt>
<dd>Logical. If <code>TRUE</code>, adds the g values in parentheses after k.</dd>


<dt>data_trim</dt>
<dd>A data frame containing the yi values used to calculate annotation positions.</dd>


<dt>mod_table</dt>
<dd>A data frame containing the k (and optionally g) values for each group.</dd>

</dl>

.orcd_k_and_g: Add k and g to base orchard plot

Description

Usage

Value

Arguments