plots the hrest object — plot.hrest • besthr

returns a ggplot object representing the hrest object from estimate. The content of left panel varies according to the value of the which parameter. If which = "rank_simulation" is used a plot of rank score values will be plotted in the left panel. In this case technical replicates will be averaged if provided. If which = "just_data" a plot of scores only is created and technical replicates are displayed as is. In each case, the right hand panel shows the rank bootstrap distribution and confidence interval boundaries for all non- control groups.

Usage

# S3 method for class 'hrest'
plot(
  x,
  ...,
  which = "rank_simulation",
  theme = "modern",
  colors = "okabe_ito",
  config = NULL,
  show_significance = FALSE,
  show_effect_size = FALSE
)

Arguments

x: the hrest object from estimate
...: Other parameters (ignored)
which: the type of left hand panel to create. Either "rank_simulation" or "just_data"
theme: the visual theme to use. Either "modern" (default, cleaner contemporary style) or "classic" (original besthr appearance)
colors: the color palette to use. Either "okabe_ito" (default, colorblind-safe), "default" (original colors), or "viridis"
config: an optional besthr_plot_config object for advanced customization. If provided, theme and colors parameters are ignored.
show_significance: Logical, whether to show significance stars on groups where CI doesn't overlap control (default FALSE)
show_effect_size: Logical, whether to show effect size annotation (default FALSE)

Value

ggplot object

Examples


 d1 <- make_data()
 hr_est <- estimate(d1, score, group)
 plot(hr_est)
#> Confidence interval: 2.5% - 97.5%


 # Use modern theme with colorblind-safe palette
 plot(hr_est, theme = "modern", colors = "okabe_ito")
#> Confidence interval: 2.5% - 97.5%


 # Advanced configuration
 cfg <- besthr_plot_config(
   panel_widths = c(2, 1),
   point_size_range = c(3, 10)
 )
 plot(hr_est, config = cfg)
#> Confidence interval: 2.5% - 97.5%