beta_cdf: A function that generates random Numbers using the monte...
In liujin07/StartComp18065: final project

Description Usage Arguments Value Examples

a function to compute a Monte Carlo estimate of the Beta(3, 3) cdf. and use the function to estimate F(x) for x = 0.1,0.2,…,0.9. Compare the estimates with the values returned by the pbeta function in R.

1	beta_cdf(n, a, b)

`n`	The number of random Numbers generated
`a`	The lower bound of the interval
`b`	The upper bound of the interval

a random sample of size n

## Not run: 
a <- data.frame(x=seq(0.1,0.9,0.1),Montacarlo=numeric(9),pbeta=numeric(9))#construct a dataframe to show the value of cdf
i <- 1
while (i<=9) {
  a[i,2] <- beta_cdf(10000,0,i*0.1)
  a[i,3] <- pbeta(i*0.1,3,3)
  i=i+1
}
print(a)

## End(Not run)