ht_single_prop_sim: Hypothesis testing for one proportion, using randomization
In OpenIntroOrg/oilabs-r-package: R Package Companion to OpenIntro Labs

Helper for the inference() function

1 2	ht_single_prop_sim(y, success, null, alternative, nsim, seed, y_name, show_var_types, show_summ_stats, show_eda_plot, show_inf_plot, show_res)

`y`	Response variable, can be numerical or categorical
`success`	which level of the categorical variable to call "success", i.e. do inference on
`null`	null value for a hypothesis test
`alternative`	direction of the alternative hypothesis; "less", "greater", or "twosided"
`nsim`	number of simulations
`seed`	seed to be set, default is NULL
`y_name`	Name of response variable as a character string (passed from inference function)
`show_var_types`	print variable types, set to verbose by default
`show_summ_stats`	print summary stats, set to verbose by default
`show_eda_plot`	print EDA plot, set to verbose by default
`show_inf_plot`	print inference plot, set to verbose by default
`show_res`	print results, set to verbose by default