group: Generate Random Vector of Control/Treatment Groups

In wakefield: Generate Random Data Sets

Description

Generate a random vector of binary groups (e.g., control/treatment).

Usage

group(n, x = c("Control", "Treatment"), prob = NULL, name = "Group")

Arguments

n	The number elements to generate. This can be globally set within the environment of r_data_frame or r_list.
x	A vector of groups to sample from.
prob	A vector of probabilities to chose from.
name	The name to assign to the output vector's varname attribute. This is used to auto assign names to the column/vector name when used inside of r_data_frame or r_list.

Value

Returns a random factor vector of group (control/treatment) elements.

Note

If you want > 2 groups see 'r_sample_factor'.

See Also

Other variable functions: age(), animal(), answer(), area(), car(), children(), coin(), color, date_stamp(), death(), dice(), dna(), dob(), dummy(), education(), employment(), eye(), grade_level(), grade(), hair(), height(), income(), internet_browser(), iq(), language, level(), likert(), lorem_ipsum(), marital(), military(), month(), name, normal(), political(), race(), religion(), sat(), sentence(), sex_inclusive(), sex(), smokes(), speed(), state(), string(), upper(), valid(), year(), zip_code()

Examples

group(10)
100*table(group(n <- 10000))/n
100*table(group(n <- 10000, prob = c(.3, .7)))/n

Example output

 [1] Treatment Control   Treatment Control   Control   Control   Treatment
 [8] Treatment Control   Control  
Levels: Control Treatment

  Control Treatment 
    49.91     50.09 

  Control Treatment 
    30.51     69.49 

wakefield documentation built on Sept. 14, 2020, 1:07 a.m.