.column_is_categorical

Determines if a column can be used as a categorical variable.
Valid categorical variables include:
- Character vectors
- Factors
- Integer values (common for ID numbers used as factors)

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

.column_is_categorical function

<dl><dt>col</dt>
<dd>vector. A vector to check (character, factor, or numeric)</dd></dl>

Arguments

Facundo Decunta - fdecunta@agro.uba.ar

Author

Check if Column is Categorical — .column_is_categorical

<dl>

<dt>col</dt>
<dd>vector. A vector to check (character, factor, or numeric)</dd>

</dl>

.column_is_categorical: Check if Column is Categorical

Description

Usage

Value

Arguments

Author