This function creates a grid of sampling distribution histogram of the mean of different sample sizes drawn from a population

plot_sampling_hist(samples, var_name, sample_size)

Arguments

samples

the samples as a tibble

var_name

the name of the variable/parameter of interest that is being generated

sample_size

a vector of the sample sizes

Value

a grid of the sampling distributions

Examples

pop <- generate_virtual_pop(100, "Variable", rnorm, 0, 1) samples <- draw_samples(pop, 3, c(1, 10)) plot_sampling_hist(samples, Variable, c(1, 10))
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.