likert: Generate Random Vector of Likert-Type Responses

In wakefield: Generate Random Data Sets

Description

Generate a random vector of Likert-type responses.

Usage

likert(
  n,
  x = c("Strongly Agree", "Agree", "Neutral", "Disagree", "Strongly Disagree"),
  prob = NULL,
  name = "Likert"
)

likert_5(
  n,
  x = c("Strongly Agree", "Agree", "Neutral", "Disagree", "Strongly Disagree"),
  prob = NULL,
  name = "Likert"
)

likert_7(
  n,
  x = c("Strongly Agree", "Agree", "Somewhat Agree", "Neutral", "Somewhat Disagree",
    "Disagree", "Strongly Disagree"),
  prob = NULL,
  name = "Likert"
)

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 vector of Likert-type response elements.

Note

likert & likert_5 are identical outputs, sampling from a 5-point response scale. likert_7 samples from a 7-point response scale.

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(), 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

dice(10)
barplot(table(dice(10000)))

Example output

 [1] 4 2 6 3 4 2 5 2 5 6

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