rbnorm: Bounded Normal (Really: Scaled Beta) Distribution

In stevemisc: Steve's Miscellaneous Functions

Bounded Normal (Really: Scaled Beta) Distribution

Description

rbnorm() is a function to randomly generate values from a bounded normal (really: a scaled beta) distribution with specified mean, standard deviation, and upper/lower bounds. I use this function to randomly generate data that we treat as interval for sake of getting means and standard deviations, but have discernible bounds (and even skew) to teach students about things like random sampling and central limit theorem.

Usage

rbnorm(n, mean, sd, lowerbound, upperbound, round = FALSE, seed)

Arguments

n	the number of observations to simulate
mean	a mean to approximate
sd	a standard deviation to approximate
lowerbound	a lower bound for the data to be generated
upperbound	an upper bound for the data to be generated
round	whether to round the values to whole integers. Defaults to FALSE
seed	set an optional seed

Details

I call it "bounded normal" when it's really a beta distribution. I'm aware of this. I took much of this code from somewhere. I forget where.

Value

The function returns a vector of simulated data approximating the user-specified conditions.

Examples

library(tibble)

tibble(x = rbnorm(10000, 57, 14, 0, 100))
tibble(x = rbnorm(10000, 57, 14, 0, 100, round = TRUE))
tibble(x = rbnorm(10000, 57, 14, 0, 100, seed = 8675309))

stevemisc documentation built on Sept. 11, 2024, 5:23 p.m.