ht_two_prop_sim: Hypothesis testing for two proportions, using randomization

Description Usage Arguments

View source: R/ht_two_prop_sim.R

Description

Helper for the inference() function

Usage

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ht_two_prop_sim(y, x, success, null, alternative, nsim, seed, y_name, x_name,
  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

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)

x_name

Name of explanatory 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_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


OpenIntroOrg/oilabs-r-package documentation built on June 18, 2020, 4:39 p.m.