wakefield (version 0.3.6)

state: Generate Random Vector of states

Description

Generate a random factor vector of states.

Usage

state(
  n,
  x = datasets::state.name,
  prob = wakefield::state_populations[["Proportion"]],
  name = "State"
)

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.

Value

Returns a random character vector of state elements.

Details

The state populations and probabilities:

State	Population	Percent
California	37,253,956	12.09 %
Texas	25,145,561	8.16 %
New York	19,378,102	6.29 %
Florida	18,801,310	6.10 %
Illinois	12,830,632	4.16 %
Pennsylvania	12,702,379	4.12 %
Ohio	11,536,504	3.74 %
Michigan	9,883,640	3.21 %
Georgia	9,687,653	3.14 %
North Carolina	9,535,483	3.09 %
New Jersey	8,791,894	2.85 %
Virginia	8,001,024	2.60 %
Washington	6,724,540	2.18 %
Massachusetts	6,547,629	2.12 %
Indiana	6,483,802	2.10 %
Arizona	6,392,017	2.07 %
Tennessee	6,346,105	2.06 %
Missouri	5,988,927	1.94 %
Maryland	5,773,552	1.87 %
Wisconsin	5,686,986	1.85 %
Minnesota	5,303,925	1.72 %
Colorado	5,029,196	1.63 %
Alabama	4,779,736	1.55 %
South Carolina	4,625,364	1.50 %
Louisiana	4,533,372	1.47 %
Kentucky	4,339,367	1.41 %
Oregon	3,831,074	1.24 %
Oklahoma	3,751,351	1.22 %
Connecticut	3,574,097	1.16 %
Iowa	3,046,355	.99 %
Mississippi	2,967,297	.96 %
Arkansas	2,915,918	.95 %
Kansas	2,853,118	.93 %
Utah	2,763,885	.90 %
Nevada	2,700,551	.88 %
New Mexico	2,059,179	.67 %
West Virginia	1,852,994	.60 %
Nebraska	1,826,341	.59 %
Idaho	1,567,582	.51 %
Hawaii	1,360,301	.44 %
Maine	1,328,361	.43 %
New Hampshire	1,316,470	.43 %
Rhode Island	1,052,567	.34 %
Montana	989,415	.32 %
Delaware	897,934	.29 %
South Dakota	814,180	.26 %
Alaska	710,231	.23 %
North Dakota	672,591	.22 %
Vermont	625,741	.20 %
Wyoming	563,626	.18 %

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(), internet_browser(), iq(), language, level(), likert(), lorem_ipsum(), marital(), military(), month(), name, normal(), political(), race(), religion(), sat(), sentence(), sex_inclusive(), sex(), smokes(), speed(), string(), upper(), valid(), year(), zip_code()

Examples

# NOT RUN {
state(10)
pie(table(state(10000)))
sort(100*table(state(n <- 10000))/n)
# }