transform_data

This function applies a specified transformation to a numeric vector.

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

transform_data function

<dl><dt>x</dt>
<dd>A numeric vector.</dd>
<dt>n</dt>
<dd>Used with "inv_ft". A numeric value representing the sample size for proportion.</dd>
<dt>transfm</dt>
<dd>A character string specifying the transformation to apply. 
Options include:
- "none": No transformation (default)
- "tanh": Hyperbolic tangent transformation
- "invlogit": Inverse logit transformation
- "percentr": Percentage relative change transformation
- "percent": Percentage transformation
- "inv_ft": Inverse Freeman-Tukey (double arcsine) transformation for proportions (use with caution)</dd></dl>

Arguments

Apply a Transformation to Vector — transform_data

<dl>

<dt>x</dt>
<dd>A numeric vector.</dd>


<dt>n</dt>
<dd>Used with "inv_ft". A numeric value representing the sample size for proportion.</dd>


<dt>transfm</dt>
<dd>A character string specifying the transformation to apply. 
Options include:
- "none": No transformation (default)
- "tanh": Hyperbolic tangent transformation
- "invlogit": Inverse logit transformation
- "percentr": Percentage relative change transformation
- "percent": Percentage transformation
- "inv_ft": Inverse Freeman-Tukey (double arcsine) transformation for proportions (use with caution)</dd>

</dl>

transform_data: Apply a Transformation to Vector

Description

Usage

Value

Arguments