S3 method for plotting bootstrap_MET results

S3 method for plotting bootstrap_MET results

# S3 method for bmbstats_MET
plot(x, type = "CI", ...)

Arguments

x	Object of class bmbstats_MET
type	What test to plot? Options are "inferiority", "non-superiority", "equivalence", "non-inferiority", "superiority", "CI". Default is "CI"
...	Extra arguments. Use plot_control for plotting options

Examples

mean_MET <- bootstrap_MET(
  describe_data(rnorm(10, 100, 20)),
  estimator = "mean",
  SESOI_lower = 95,
  SESOI_upper = 105,
  alpha = 0.05
)
#> Bootstraping: 2000 resamples
#> Calculating confidence intervals...
#> Warning: extreme order statistics used as endpoints
#> Warning: boot::boot.ci returned error or NULL when estimating CIs for min estimator. Returning NAs for upper and lower CIs
#> Done!
mean_MET
#> Minimum effect tests for the `mean` estimator
#> Bootstrap result: mean=101.275, 95% CI [85.383, 116.629]
#> SESOI: [95, 105], alpha=0.05
#> 
#>             Test p.value
#>      inferiority  0.7725
#>  non-superiority  0.3180
#>      equivalence  0.3180
#>  non-inferiority  0.2275
#>      superiority  0.6820
#> 
#> Final inference: Equivocal
plot(mean_MET)