ci_two_prop_sim: Confidence interval for two proportions, using bootstrapping

In andrewpbray/oilabs: R Package Companion to OpenIntro Labs

Description

Helper for the inference() function

Usage

ci_two_prop_sim(y, x, success, conf_level, y_name, x_name, boot_method, nsim,
  seed, show_var_types, show_summ_stats, show_res, show_eda_plot, show_inf_plot)

Arguments

y	Response variable, can be numerical or categorical
x	Explanatory variable, categorical (optional)
success	which level of the categorical variable to call "success", i.e. do inference on
conf_level	confidence level, value between 0 and 1
y_name	Name of response variable as a character string (passed from inference function)
x_name	Name of explanatory variable as a character string (passed from inference function)
boot_method	bootstrap method; "perc" (percentile) or "se" (standard error)
nsim	number of simulations
seed	seed to be set, default is NULL
show_var_types	print variable types, set to verbose by default
show_summ_stats	print summary stats, set to verbose by default
show_res	print results, 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

andrewpbray/oilabs documentation built on Feb. 7, 2022, 9:22 a.m.