Turn in one copy of the R Script for each group. If group members are not present in class they will be required to complete their own lab to receive credit.

## Lab Overview

The entire lab will be worth 100 points.

## Questions

Answer the following questions in this R Markdown document. Please include code where necessary.

### 1. R Shiny with ggplot2

Please modify the default R Shiny applet to include a ggplot2() histogram.

### 2. R Shiny Options

Next, modify the default R Shiny code to create a histogram based on the central limit theorem to create an R Shiny applet. Shiny should allow you to update the slider to permit between 5 and 100 observations.

CLT.hist <- function(num.obs){
## Function to create a histogram to depict central limit theorem
## data generated from Exponential distribution
## ARGS: num.obs - number of observations from Exponential(1)
num.sims <- 10000
sample.means <- rowMeans(matrix(rexp(num.sims*num.obs),nrow = num.sims, ncol = num.obs))
hist(sample.means,prob=T, xlab='', breaks=seq(0,8,by=.2))
}