Plot Alpha and Beta Error Regions — plotalphabeta • wmisc

Generates a plot of two normal distributions with Type I (alpha) and Type II (beta) error areas shaded. Legend and effect size annotation are embedded in the plot.

plotalphabeta(
  m = 0,
  sd0 = 1,
  sd1 = 1,
  d = 2,
  alpha = 0.05,
  fill = TRUE,
  col_fill = c("pink", "lightblue"),
  show_text = TRUE,
  show_labels = TRUE
)

Arguments

m: Mean under H0.
sd0: Standard deviation under H0.
sd1: Standard deviation under H1.
d: Effect size (Cohen's d): H₁ mean is m + d * sd0.
alpha: Significance level.
fill: Logical. Whether to shade alpha and beta areas.
col_fill: Character vector of length 2: colors for alpha and beta shading.
show_text: Logical. If TRUE, prints α, β, and power in the plot.
show_labels: Logical. If TRUE, adds labels for H0, H1, and effect size d.

Value

A ggplot object.

Examples

plotalphabeta(m = 0, sd0 = 1, sd1 = 1.5, d = 1.5, alpha = 0.01)
#> Warning: All aesthetics have length 1, but the data has 2000 rows.
#> ℹ Please consider using `annotate()` or provide this layer with data containing
#>   a single row.