evanverse (version 0.4.0)

forest_data: Comprehensive Forest Plot Dataset

Description

A comprehensive dataset for demonstrating advanced forest plot functionality. Contains multiple variable types (continuous, categorical, hierarchical), multi-model comparisons, sample sizes, and color grouping information.

Format

A data frame with 33 rows and 15 columns:

variable

Character vector of variable names and group headers

est

Numeric vector of effect estimates (Model 1 or single model)

lower

Numeric vector of lower confidence limits (Model 1)

upper

Numeric vector of upper confidence limits (Model 1)

pval

Numeric vector of p-values (Model 1)

est_2

Numeric vector of effect estimates for Model 2 (NA for single-model rows)

lower_2

Numeric vector of lower confidence limits for Model 2

upper_2

Numeric vector of upper confidence limits for Model 2

pval_2

Numeric vector of p-values for Model 2

est_3

Numeric vector of effect estimates for Model 3

lower_3

Numeric vector of lower confidence limits for Model 3

upper_3

Numeric vector of upper confidence limits for Model 3

pval_3

Numeric vector of p-values for Model 3

n_total

Numeric vector of total sample sizes

n_event

Numeric vector of event counts

event_pct

Numeric vector of event percentages

color_id

Character vector of color group identifiers for visualization

note

Character vector of notes and model descriptions

Details

This dataset demonstrates various forest plot scenarios:

• Continuous variables (Age, BMI)

• Categorical variables with subgroups (Sex, BMI category, Treatment)

• Multi-level hierarchical structures

• Multi-model comparisons (Models 1-3 for last 3 rows)

• Sample size and event information

• Color grouping for enhanced visualizations