Plot effect size forest plot

Creates a forest plot displaying effect sizes with confidence intervals, commonly used for meta-analysis style visualization of multiple comparisons.

Usage

plotEffectSizeForest(
  effects,
  ci_lower,
  ci_upper,
  labels = NULL,
  null_value = 0,
  sort_by = c("none", "effect", "name"),
  title = "Effect Sizes"
)

Arguments

effects

Named vector or data.frame of effect sizes.

ci_lower

Lower confidence interval bounds.

ci_upper

Upper confidence interval bounds.

labels

Labels for each effect (uses names if not provided).

null_value

Reference line value (default: 0).

sort_by

How to sort: "none", "effect", "name".

title

Plot title.

Value

A ggplot object.

References

Wickham H (2016). "ggplot2: Elegant Graphics for Data Analysis." Springer.

See also

cohensD() for computing Cohen's d effect sizes, etaSquared() for computing eta-squared effect sizes, plotCorrelationMatrix() for correlation heatmaps.

Examples

# Forest plot of effect sizes across joints
effects <- c(Hip = 0.8, Knee = 1.2, Ankle = 0.3)
ci_lower <- c(0.4, 0.8, -0.1)
ci_upper <- c(1.2, 1.6, 0.7)

plotEffectSizeForest(effects, ci_lower, ci_upper)