This function plots a histogram of sample sizes per specification. It can be added to the overall specification curve plot (see vignettes).

`plot_samplesizes(df, var = .data$estimate, desc = FALSE)`

- df
a data frame resulting from

`run_specs()`

.- var
which variable should be evaluated? Defaults to estimate (the effect sizes computed by

`run_specs()`

).- desc
logical value indicating whether the curve should the arranged in a descending order. Defaults to FALSE.

a ggplot object.

```
# load additional library
library(ggplot2) # for further customization of the plots
# run specification curve analysis
results <- run_specs(df = example_data,
y = c("y1", "y2"),
x = c("x1", "x2"),
model = c("lm"),
controls = c("c1", "c2"),
subsets = list(group1 = unique(example_data$group1),
group2 = unique(example_data$group2)))
# plot ranked bar chart of sample sizes
plot_samplesizes(results)
# add a horizontal line for the median sample size
plot_samplesizes(results) +
geom_hline(yintercept = median(results$fit_nobs),
color = "darkgrey",
linetype = "dashed") +
theme_linedraw()
```