Plot bayesian effect size

The bayesian effect size can be visualized with dot-quantiles plots. Each dot in the plot corresponds to one percent.

Usage

plot_eff_size_dist(results_difference, days)

Arguments

results_difference

Output dataframe from `get_slope_differences`

days

A vector containing the days used to calculate the differences in `get_slope_differences`

Value

A ggplot2 object

Examples

if (FALSE) { # \dontrun{
library(biogrowleR)

days <- c(
    min(t110_ivis_long$days_after_treatment),
    max(t110_ivis_long$days_after_treatment)
)

# check ?get_slope_differences for a description on how to get to this step
results_difference <- get_slope_differences(
     results_estimates = results_estimates_global,
     combination_conditions = combination_treatments,
     days = days,
     pooled_sds = pooled_sds
 )

plot_eff_size_dist(results_difference, days = days)
} # }