rrating: Simulate Likert-like Item Responses
In diogomarques/rrating: Simulate Likert-like Item Responses

Description Usage Arguments Details Value Examples

Generates random distributions of answers to Likert-type items answered on a numeric (integer) scale.

1 2	rrating(n, mean = 3, scale.from = 1, scale.to = 5, sd.norm = 1, shift.to.mean = "none")

`n`	number of observations.
`mean`	mean of the normal distribution to be approximated.
`scale.from`	bottom-end of the possible values in scale.
`scale.to`	top-end of the possible values in scale.
`sd.norm`	standard deviation of the normal distribution to be approximated.
`shift.to.mean`	if set to "none", the mean of observations will generally not match the mean of the normal to be approximated; to shift the observations to match it, set to either "quick", "iterative", or "round-robin" (algorithms discussed in the details)

TODO

A vector of n length.

# Simulate 1000 responses for question "From 1 to 5, how much do you like pizza?"
responses = rrating(1000, mean = 4, scale.from = 1, scale.to = 5)
plot(table(responses))
mean(responses)
#
# mean is not 4, because tails of the normal distribution being approximated
# were binned with the boundaries. To keep mean at four, set the shift option:
responses.shifted = rrating(1000, mean = 4, scale.from = 1, scale.to = 5,
shift.to.mean = "quick")
plot(table(responses.shifted))
mean(responses.shifted)