---
title: "SDM4 in R: Understanding Randomness (Chapter 10)"
author: "Nicholas Horton (nhorton@amherst.edu), Patrick Frenett, and Sarah McDonald"
date: "June 13, 2018"
output:
pdf_document:
fig_height: 3
fig_width: 6
html_document:
fig_height: 3
fig_width: 5
word_document:
fig_height: 4
fig_width: 6
---
```{r, include = FALSE}
# Don't delete this chunk if you are using the mosaic package
# This loads the mosaic and dplyr packages
require(mosaic)
```
```{r, include = FALSE}
# knitr settings to control how R chunks work.
require(knitr)
opts_chunk$set(
tidy = FALSE, # display code as typed
size = "small" # slightly smaller font for code
)
```
## Introduction and background
This document is intended to help describe how to undertake analyses introduced
as examples in the Fourth Edition of *Stats: Data and Models* (2014) by De Veaux, Velleman, and Bock.
More information about the book can be found at http://wps.aw.com/aw_deveaux_stats_series. This
file as well as the associated R Markdown reproducible analysis source file used to create it can be found at http://nhorton.people.amherst.edu/sdm4.
This work leverages initiatives undertaken by Project MOSAIC (http://www.mosaic-web.org), an NSF-funded effort to improve the teaching of statistics, calculus, science and computing in the undergraduate curriculum. In particular, we utilize the `mosaic` package, which was written to simplify the use of R for introductory statistics courses. A short summary of the R needed to teach introductory statistics can be found in the mosaic package vignettes (http://cran.r-project.org/web/packages/mosaic).
A paper describing the mosaic approach was published in the *R Journal*: https://journal.r-project.org/archive/2017/RJ-2017-024.
## Chapter 10: Understanding Randomness
### Section 10.1: What is Randomness?
### Section 10.2: Simulating by Hand
Shown below is the box and whisker plot from page 284.
```{r}
library(mosaic)
obs <- c(5,4,7,5,18,6,5,4,6)
ID <- 1:length(data)
data <- data.frame(ID, obs)
gf_boxplot(obs ~ 1, data = data) # gf_boxplot(~ age) support is planned for the future
```