.is_group_valid

Checks if a group variable meets the requirements for analysis:
- It is not missing or NULL
- It exists in the data frame
- It is a categorical variable
- It has no missing values

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

.is_group_valid function

<dl><dt>data</dt>
<dd>data.frame. A data frame containing the group variable</dd>
<dt>column_name</dt>
<dd>character. The name of the column to check</dd></dl>

Arguments

Facundo Decunta - fdecunta@agro.uba.ar

Author

Validate Group Argument — .is_group_valid

<dl>

<dt>data</dt>
<dd>data.frame. A data frame containing the group variable</dd>


<dt>column_name</dt>
<dd>character. The name of the column to check</dd>

</dl>

.is_group_valid: Validate Group Argument

Description

Usage

Value

Arguments

Author