df_forest_test

A sample dataset used for demonstrating and testing forest plot functionality.
Contains example effect sizes, confidence intervals, and study information.

datasets

A comprehensive collection of utility functions for data analysis
and visualization in R. The package provides 55+ functions for data
manipulation, file handling, color palette management, bioinformatics
workflows, plotting, and package management. Features include void value
handling, custom infix operators, flexible file I/O, and publication-ready
visualizations with sensible defaults. Implementation follows tidyverse
principles (Wickham et al. (2019) <doi:10.21105/joss.01686>) and incorporates
best practices from the R community.

Evan Zhou

evanverse

Utility Functions for Data Analysis and Visualization

df_forest_test function

A data frame with 12 rows and 5 columns:<dl>
<dt>variable</dt>
<dd>Character vector of variable names</dd><dt>estimate</dt>
<dd>Numeric vector of effect estimates</dd><dt>conf.low</dt>
<dd>Numeric vector of lower confidence limits</dd><dt>conf.high</dt>
<dd>Numeric vector of upper confidence limits</dd><dt>p.value</dt>
<dd>Numeric vector of p-values</dd>
</dl>

Format

Test Dataset for Forest Plots — df_forest_test

A data frame with 12 rows and 5 columns:<dl>
<dt>variable</dt>
<dd>Character vector of variable names</dd>

<dt>estimate</dt>
<dd>Numeric vector of effect estimates</dd>

<dt>conf.low</dt>
<dd>Numeric vector of lower confidence limits</dd>

<dt>conf.high</dt>
<dd>Numeric vector of upper confidence limits</dd>

<dt>p.value</dt>
<dd>Numeric vector of p-values</dd>


</dl>

df_forest_test: Test Dataset for Forest Plots

Description

Arguments

Format