normal.select: Selection of Normal Prior Given Knowledge of Two Quantiles
In bayesball/LearnBayes: Learning Bayesian Inference

Description Usage Arguments Value Author(s) Examples

Finds the mean and standard deviation of a normal density that matches knowledge of two quantiles of the distribution.

1	normal.select(quantile1, quantile2)

`quantile1`	list with components p, the value of the first probability, and x, the value of the first quantile
`quantile2`	list with components p, the value of the second probability, and x, the value of the second quantile

`mean`	mean of the matching normal distribution
`sigma`	standard deviation of the matching normal distribution

Jim Albert

# person believes the 15th percentile of the prior is 100
# and the 70th percentile of the prior is 150
quantile1=list(p=.15,x=100)
quantile2=list(p=.7,x=150)
normal.select(quantile1,quantile2)