internet_browser: Generate Random Vector of Internet Browsers

In trinker/wakefield: Generate Random Data Sets

Description

Generate a random vector of Internet browser.

Usage

internet_browser(
  n,
  x = c("Chrome", "IE", "Firefox", "Safari", "Opera", "Android"),
  prob = c(0.5027, 0.175, 0.1689, 0.0994, 0.017, 0.0132),
  name = "Browser"
)

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 elements to chose 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.

Details

The browser use and probabilities (from https://gs.statcounter.com/):

Browser	Percent
Chrome	50.27 %
IE	17.50 %
Firefox	16.89 %
Safari	9.94 %
Opera	1.70 %
Android	1.32 %

Value

Returns a random factor vector of Internet browser elements.

References

https://gs.statcounter.com/

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(), group(), hair(), height(), income(), 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

internet_browser(20)
barplot(table(internet_browser(10000)))
pie(table(internet_browser(10000)))

trinker/wakefield documentation built on Sept. 17, 2020, 11:03 p.m.