rbinorm: Bimodal Normal Distribution
In FamilyRank: Algorithm for Ranking Predictors Using Graphical Domain Knowledge

Description Usage Arguments Details Value Author(s) Examples

View source: R/rbinorm.R

Simulates random data from a bimodal Gaussian distribution.

1	rbinorm(n, mean1, mean2, sd1, sd2, prop)

`n`	Number of observations to simulate
`mean1`	Mean of mode 1
`mean2`	Mean of mode 2
`sd1`	Standard deviation of mode 1
`sd2`	Standard deviation of mode 2
`prop`	Probability of being in mode 1. `1 - prop` is the probability of being in mode 2.

This function is modeled off of the rnorm function.

Generates random deviates

Michelle Saul

## Generate 100 samples from a two component Guassian curve
samples <- rbinorm(n=100, mean1=10, mean2=20, sd1=1, sd2=2, prop=.5)

## Plot distribution of simulated data
plot(density(samples))