Getting Started

]

# Week 1: .fancy[Getting Started]

### <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:white;overflow:visible;position:relative;"><path d="M243.4 2.6l-224 96c-14 6-21.8 21-18.7 35.8S16.8 160 32 160v8c0 13.3 10.7 24 24 24H456c13.3 0 24-10.7 24-24v-8c15.2 0 28.3-10.7 31.3-25.6s-4.8-29.9-18.7-35.8l-224-96c-8-3.4-17.2-3.4-25.2 0zM128 224H64V420.3c-.6 .3-1.2 .7-1.8 1.1l-48 32c-11.7 7.8-17 22.4-12.9 35.9S17.9 512 32 512H480c14.1 0 26.5-9.2 30.6-22.7s-1.1-28.1-12.9-35.9l-48-32c-.6-.4-1.2-.7-1.8-1.1V224H384V416H344V224H280V416H232V224H168V416H128V224zM256 64a32 32 0 1 1 0 64 32 32 0 1 1 0-64z"/></svg> EMSE 6035: Marketing Analytics for Design Decisions
### <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:white;overflow:visible;position:relative;"><path d="M304 128a80 80 0 1 0 -160 0 80 80 0 1 0 160 0zM96 128a128 128 0 1 1 256 0A128 128 0 1 1 96 128zM49.3 464H398.7c-8.9-63.3-63.3-112-129-112H178.3c-65.7 0-120.1 48.7-129 112zM0 482.3C0 383.8 79.8 304 178.3 304h91.4C368.2 304 448 383.8 448 482.3c0 16.4-13.3 29.7-29.7 29.7H29.7C13.3 512 0 498.7 0 482.3z"/></svg> John Paul Helveston
### <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:white;overflow:visible;position:relative;"><path d="M152 24c0-13.3-10.7-24-24-24s-24 10.7-24 24V64H64C28.7 64 0 92.7 0 128v16 48V448c0 35.3 28.7 64 64 64H384c35.3 0 64-28.7 64-64V192 144 128c0-35.3-28.7-64-64-64H344V24c0-13.3-10.7-24-24-24s-24 10.7-24 24V64H152V24zM48 192H400V448c0 8.8-7.2 16-16 16H64c-8.8 0-16-7.2-16-16V192z"/></svg> August 28, 2024

]

---

# Week 1: .fancy[Getting Started]

### 1. Course orientation
### 2. Intro to conjoint analysis
### 3. Introductions

### BREAK: Teaming

### 4. Getting started with R & RStudio

---

# Week 1: .fancy[Getting Started]

### 1. .orange[Course orientation]
### 2. Intro to conjoint analysis
### 3. Introductions

### BREAK: Teaming

### 4. Getting started with R & RStudio

---

# Meet your instructor!

]]

### John Helveston, Ph.D.

- 2018 - Present Assistant Professor, Engineering Management & Systems Engineering
- 2016-2018 Postdoc at [Institute for Sustainable Energy](https://www.bu.edu/ise/), Boston University
- 2016 PhD in Engineering & Public Policy at Carnegie Mellon University
- 2015 MS in Engineering & Public Policy at Carnegie Mellon University
- 2010 BS in Engineering Science & Mechanics at Virginia Tech
- Website: [www.jhelvy.com](http://www.jhelvy.com/)

]]

---

# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M78.6 5C69.1-2.4 55.6-1.5 47 7L7 47c-8.5 8.5-9.4 22-2.1 31.6l80 104c4.5 5.9 11.6 9.4 19 9.4h54.1l109 109c-14.7 29-10 65.4 14.3 89.6l112 112c12.5 12.5 32.8 12.5 45.3 0l64-64c12.5-12.5 12.5-32.8 0-45.3l-112-112c-24.2-24.2-60.6-29-89.6-14.3l-109-109V104c0-7.5-3.5-14.5-9.4-19L78.6 5zM19.9 396.1C7.2 408.8 0 426.1 0 444.1C0 481.6 30.4 512 67.9 512c18 0 35.3-7.2 48-19.9L233.7 374.3c-7.8-20.9-9-43.6-3.6-65.1l-61.7-61.7L19.9 396.1zM512 144c0-10.5-1.1-20.7-3.2-30.5c-2.4-11.2-16.1-14.1-24.2-6l-63.9 63.9c-3 3-7.1 4.7-11.3 4.7H352c-8.8 0-16-7.2-16-16V102.6c0-4.2 1.7-8.3 4.7-11.3l63.9-63.9c8.1-8.1 5.2-21.8-6-24.2C388.7 1.1 378.5 0 368 0C288.5 0 224 64.5 224 144l0 .8 85.3 85.3c36-9.1 75.8 .5 104 28.7L429 274.5c49-23 83-72.8 83-130.5zM56 432a24 24 0 1 1 48 0 24 24 0 1 1 -48 0z"/></svg> Tools

<br>

## <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M352 256c0 22.2-1.2 43.6-3.3 64H163.3c-2.2-20.4-3.3-41.8-3.3-64s1.2-43.6 3.3-64H348.7c2.2 20.4 3.3 41.8 3.3 64zm28.8-64H503.9c5.3 20.5 8.1 41.9 8.1 64s-2.8 43.5-8.1 64H380.8c2.1-20.6 3.2-42 3.2-64s-1.1-43.4-3.2-64zm112.6-32H376.7c-10-63.9-29.8-117.4-55.3-151.6c78.3 20.7 142 77.5 171.9 151.6zm-149.1 0H167.7c6.1-36.4 15.5-68.6 27-94.7c10.5-23.6 22.2-40.7 33.5-51.5C239.4 3.2 248.7 0 256 0s16.6 3.2 27.8 13.8c11.3 10.8 23 27.9 33.5 51.5c11.6 26 20.9 58.2 27 94.7zm-209 0H18.6C48.6 85.9 112.2 29.1 190.6 8.4C165.1 42.6 145.3 96.1 135.3 160zM8.1 192H131.2c-2.1 20.6-3.2 42-3.2 64s1.1 43.4 3.2 64H8.1C2.8 299.5 0 278.1 0 256s2.8-43.5 8.1-64zM194.7 446.6c-11.6-26-20.9-58.2-27-94.6H344.3c-6.1 36.4-15.5 68.6-27 94.6c-10.5 23.6-22.2 40.7-33.5 51.5C272.6 508.8 263.3 512 256 512s-16.6-3.2-27.8-13.8c-11.3-10.8-23-27.9-33.5-51.5zM135.3 352c10 63.9 29.8 117.4 55.3 151.6C112.2 482.9 48.6 426.1 18.6 352H135.3zm358.1 0c-30 74.1-93.6 130.9-171.9 151.6c25.5-34.2 45.2-87.7 55.3-151.6H493.4z"/></svg> Course website: https://madd.seas.gwu.edu/2024-Fall/

## <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M94.12 315.1c0 25.9-21.16 47.06-47.06 47.06S0 341 0 315.1c0-25.9 21.16-47.06 47.06-47.06h47.06v47.06zm23.72 0c0-25.9 21.16-47.06 47.06-47.06s47.06 21.16 47.06 47.06v117.84c0 25.9-21.16 47.06-47.06 47.06s-47.06-21.16-47.06-47.06V315.1zm47.06-188.98c-25.9 0-47.06-21.16-47.06-47.06S139 32 164.9 32s47.06 21.16 47.06 47.06v47.06H164.9zm0 23.72c25.9 0 47.06 21.16 47.06 47.06s-21.16 47.06-47.06 47.06H47.06C21.16 243.96 0 222.8 0 196.9s21.16-47.06 47.06-47.06H164.9zm188.98 47.06c0-25.9 21.16-47.06 47.06-47.06 25.9 0 47.06 21.16 47.06 47.06s-21.16 47.06-47.06 47.06h-47.06V196.9zm-23.72 0c0 25.9-21.16 47.06-47.06 47.06-25.9 0-47.06-21.16-47.06-47.06V79.06c0-25.9 21.16-47.06 47.06-47.06 25.9 0 47.06 21.16 47.06 47.06V196.9zM283.1 385.88c25.9 0 47.06 21.16 47.06 47.06 0 25.9-21.16 47.06-47.06 47.06-25.9 0-47.06-21.16-47.06-47.06v-47.06h47.06zm0-23.72c-25.9 0-47.06-21.16-47.06-47.06 0-25.9 21.16-47.06 47.06-47.06h117.84c25.9 0 47.06 21.16 47.06 47.06 0 25.9-21.16 47.06-47.06 47.06H283.1z"/></svg> Course slack: https://emse-madd-f24.slack.com

## <svg aria-hidden="true" role="img" viewBox="0 0 581 512" style="height:1em;width:1.13em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"/></svg> & RStudio: [Course Software Page](https://madd.seas.gwu.edu/2024-Fall/software.html)

---

# Why <svg aria-hidden="true" role="img" viewBox="0 0 581 512" style="height:1em;width:1.13em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"/></svg>?

---

# Learning Objectives

### After this class, you will know how to...

- ### ...work with data in <svg aria-hidden="true" role="img" viewBox="0 0 581 512" style="height:1em;width:1.13em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"/></svg>
- ### ...design effective surveys to get rich data
- ### ...analyze consumer choice data to model consumer preferences
- ### ...design effective charts to communicate insights

---

# Course prerequisites

### This course requires prior exposure to:

- ### Probability theory
- ### Multivariable calculus
- ### Linear algebra
- ### Regression
]

### **Not sure?**

### Take [this self assessment](https://madd.seas.gwu.edu/2024-Fall/self-assessment.html)

]

---

# Reflections (30% of grade)

### Do some readings, recorded lectures, practice problems

### Write a short reflection

---

# **Quizzes** (10% of grade)

> **Why quiz at all?** The "retrieval effect" - basically, you have to _practice_ remembering things, otherwise your brain won't remember them (see the book ["Make It Stick: The Science of Successful Learning"](https://www.hup.harvard.edu/catalog.php?isbn=9780674729018))

---

# Exam (10% of grade)

### Take home exam, 2nd to last week of class

### We'll go over exam solutions on last day of class

---

# [Semester Project](https://madd.seas.gwu.edu/2024-Fall/project/0-overview.html) (45% of grade)

### Teams of 3-4 students

### Goals:

- Assess market viability of a new technology or design
- Recommend best design choices for target market or application

]

### Key deliverables:

Item            | Weight | Due
----------------|----------------------------|--------------------
Project Proposal      | 5 %    | Sep. 24
Survey Plan           | 5 %    | Oct. 03
Pilot Survey          | 5 %    | Oct. 17
Pilot Analysis        | 5 %    | Nov. 05
Final Survey          | 5 %    | Nov. 19
Final Analysis Report | 15 %   | Dec. 10
Final Presentation    | 5 %    | Dec. 12

]

---

background-color: #FFF

# .center[Grades]

---

# .center[Grades]

Item                  | Weight | Notes
----------------------|--------|-------------------------------------
Participation / Attendance | 5%     | (Yes, I take attendance)
Reflections           | 30 %   | Weekly assignment (10 x 3%, lowest dropped)
Quizzes               | 10 %    | 5 quizzes, lowest dropped
Final Exam            | 10 %   | Take home exam
Project Proposal      | 5 %    | Teams of 3-4 students
Survey Plan           | 5 %    |
Pilot Survey          | 5 %    |
Pilot Analysis        | 5 %    |
Final Survey          | 5 %    |
Final Analysis Report | 15 %   |
Final Presentation    | 5 %    |

---

# Course policies

- ## BE NICE
- ## BE HONEST
- ## DON'T CHEAT

]

## .center[Copying is good, stealing is bad]

> "Plagiarism is trying to pass someone else's work off as your own. Copying is about reverse-engineering."
>
> .right[-- Austin Kleon, from [Steal Like An Artist](https://austinkleon.com/steal/)&ensp;]

]

---

## Use of chatGPT and other AI tools

- Large language models (LLMs) are pretty good...but sometimes suck.

--
 
- Use of AI tools is generally permitted, but **be transparent**.

- All assignments must include a **Use of AI on this assignment** section where you:

- Describe any AI tool and how it was used along with prompt(s) used.
    - Include a link to the chat transcript.

## **Use AI as an assistant, not a solutions manual**

> Curious how LLMs actually work? Check out [this article](https://www.understandingai.org/p/large-language-models-explained-with), which provides a simplified description of how they work (which itself is still quite complicated).

---

# Late submissions

## - **5** late days - use them anytime, no questions asked
## - No more than **2** late days on any one assignment
## - Contact me for special cases

---

# How to succeed in this class

## <svg aria-hidden="true" role="img" viewBox="0 0 640 512" style="height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M144 0a80 80 0 1 1 0 160A80 80 0 1 1 144 0zM512 0a80 80 0 1 1 0 160A80 80 0 1 1 512 0zM0 298.7C0 239.8 47.8 192 106.7 192h42.7c15.9 0 31 3.5 44.6 9.7c-1.3 7.2-1.9 14.7-1.9 22.3c0 38.2 16.8 72.5 43.3 96c-.2 0-.4 0-.7 0H21.3C9.6 320 0 310.4 0 298.7zM405.3 320c-.2 0-.4 0-.7 0c26.6-23.5 43.3-57.8 43.3-96c0-7.6-.7-15-1.9-22.3c13.6-6.3 28.7-9.7 44.6-9.7h42.7C592.2 192 640 239.8 640 298.7c0 11.8-9.6 21.3-21.3 21.3H405.3zM224 224a96 96 0 1 1 192 0 96 96 0 1 1 -192 0zM128 485.3C128 411.7 187.7 352 261.3 352H378.7C452.3 352 512 411.7 512 485.3c0 14.7-11.9 26.7-26.7 26.7H154.7c-14.7 0-26.7-11.9-26.7-26.7z"/></svg> Participate during class!

## <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M469.3 19.3l23.4 23.4c25 25 25 65.5 0 90.5l-56.4 56.4L322.3 75.7l56.4-56.4c25-25 65.5-25 90.5 0zM44.9 353.2L299.7 98.3 413.7 212.3 158.8 467.1c-6.7 6.7-15.1 11.6-24.2 14.2l-104 29.7c-8.4 2.4-17.4 .1-23.6-6.1s-8.5-15.2-6.1-23.6l29.7-104c2.6-9.2 7.5-17.5 14.2-24.2zM249.4 103.4L103.4 249.4 16 161.9c-18.7-18.7-18.7-49.1 0-67.9L94.1 16c18.7-18.7 49.1-18.7 67.9 0l19.8 19.8c-.3 .3-.7 .6-1 .9l-64 64c-6.2 6.2-6.2 16.4 0 22.6s16.4 6.2 22.6 0l64-64c.3-.3 .6-.7 .9-1l45.1 45.1zM408.6 262.6l45.1 45.1c-.3 .3-.7 .6-1 .9l-64 64c-6.2 6.2-6.2 16.4 0 22.6s16.4 6.2 22.6 0l64-64c.3-.3 .6-.7 .9-1L496 350.1c18.7 18.7 18.7 49.1 0 67.9L417.9 496c-18.7 18.7-49.1 18.7-67.9 0l-87.4-87.4L408.6 262.6z"/></svg> Start assignments early and **read carefully**!

## <svg aria-hidden="true" role="img" viewBox="0 0 640 512" style="height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M80 48a48 48 0 1 1 96 0A48 48 0 1 1 80 48zm64 193.7v65.1l51 51c7.1 7.1 11.8 16.2 13.4 26.1l15.2 90.9c2.9 17.4-8.9 33.9-26.3 36.8s-33.9-8.9-36.8-26.3l-14.3-85.9L66.8 320C54.8 308 48 291.7 48 274.7V186.6c0-32.4 26.2-58.6 58.6-58.6c24.1 0 46.5 12 59.9 32l47.4 71.1 10.1 5V160c0-17.7 14.3-32 32-32H384c17.7 0 32 14.3 32 32v76.2l10.1-5L473.5 160c13.3-20 35.8-32 59.9-32c32.4 0 58.6 26.2 58.6 58.6v88.1c0 17-6.7 33.3-18.7 45.3l-79.4 79.4-14.3 85.9c-2.9 17.4-19.4 29.2-36.8 26.3s-29.2-19.4-26.3-36.8l15.2-90.9c1.6-9.9 6.3-19 13.4-26.1l51-51V241.7l-19 28.5c-4.6 7-11 12.6-18.5 16.3l-59.6 29.8c-2.4 1.3-4.9 2.2-7.6 2.8c-2.6 .6-5.3 .9-7.9 .8H256.7c-2.5 .1-5-.2-7.5-.7c-2.9-.6-5.6-1.6-8.1-3l-59.5-29.8c-7.5-3.7-13.8-9.4-18.5-16.3l-19-28.5zM2.3 468.1L50.1 348.6l49.2 49.2-37.6 94c-6.6 16.4-25.2 24.4-41.6 17.8S-4.3 484.5 2.3 468.1zM512 0a48 48 0 1 1 0 96 48 48 0 1 1 0-96zm77.9 348.6l47.8 119.5c6.6 16.4-1.4 35-17.8 41.6s-35-1.4-41.6-17.8l-37.6-94 49.2-49.2z"/></svg> Ask for help!

---

# Getting Help

- Mondays from 8:00-4:30pm
- Tuesdays from 8:00-4:30pm
- Fridays from 8:00-4:00pm

---

# Week 1: .fancy[Getting Started]

### 1. Course orientation
### 2. .orange[Intro to conjoint analysis]
### 3. Introductions

### BREAK: Teaming

### 4. Getting started with R & RStudio

---

]

# Engineers often design things nobody wants!

]

---

## We want to answers to questions like...

<br>

### - Higher prices decrease demand, but by how much?

### - How much more is a consumer willing to pay for increased performance in X?

### - How will my product compete against competitors in the market?

## **Answers depend on knowing what people want**

---

## Directly asking people what they want isn't always helpful

### (People want everything)

---

## Which feature do you care more about?

## .center[Battery Life?]

]

## .center[Brand?]

]

## .center[Signal quality?]

]

---

## **Conjoint approach**:<br>Use consumer choice data to model preferences

---

### .center[Use random utility framework to predict probability of choosing phone _j_]

<br>

### 1. `$u_j = \beta_1\mathrm{price}_j + \beta_2\mathrm{brand}_j + \beta_3\mathrm{battery}_j + \beta_4\mathrm{signal}_j + \varepsilon_j$`

### 2. Assume `$\varepsilon_j \sim$` iid extreme value

### 3. Probability of choosing phone _j_: `$P_j = \frac{e^{\beta'x_j}}{\sum_k^J e^{\beta'x_k}}$`

### 4. Estimate `$\beta_1$`, `$\beta_2$`, `$\beta_3$`, `$\beta_4$` by minimizing `$-L = - \sum_n^N \sum_j^J y_{nj} \ln P_{nj}$`

---

## **Willingness to Pay**

<br>

## `$u_j = \beta'x_j + \alpha p_j + \varepsilon_j$`

## `$\omega = \frac{\beta}{-\alpha}$`

]]

## **Make predictions**

### `$P_j = \frac{e^{\hat{\beta}'x_j}}{\sum_k^J e^{\hat{\beta}'x_k}}$`

]

---

# Example: _Pocket Charge_

## A Flexible, Portable Solar Charger

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### Example survey choice question

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# Your project starts now!

# [View project Ideas](https://docs.google.com/presentation/d/1MQe3Q_f8uWRF5PUtNRnNEQHqWapjS8YM/edit?usp=sharing&ouid=108448693507188860264&rtpof=true&sd=true)

---

# Week 1: .fancy[Getting Started]

### 1. Course orientation
### 2. Intro to conjoint analysis
### 3. .orange[Introductions]

### BREAK: Teaming

### 4. Getting started with R & RStudio

---

# Introduce yourself

## - Preferred name
## - Degree program
## - Prior experience
## - What do you hope to gain from this class?
## - Project interests?

---

<br>

# .center[.fancy[Break]]

1. If you haven't already, install everything on the [software page](https://madd.seas.gwu.edu/2024-Fall/software.html)

2. Stand up, meet each other, (maybe form teams?...use [this sheet](https://docs.google.com/spreadsheets/d/1Y-ApfpujwbywjL05KCmUo-AzZqRheqq7_M_vLuEnjt0/edit?usp=sharing))

---

# Week 1: .fancy[Getting Started]

### 1. Course orientation
### 2. Intro to conjoint analysis
### 3. Introductions

### BREAK: Teaming

### 4. .orange[Getting started with R & RStudio]

---

# RStudio Orientation

]

- Know the boxes
- Customize the layout
- Customize the look
- [Extra themes](https://github.com/gadenbuie/rsthemes)

]

---

# Open `intro-to-R.R` file and follow along

---

# View prior code in history pane

# Use "up" arrow see previous code

---

# Staying organized

## 1) Save your code in .R files

> ### &zwj;File > New File > R Script

## 2) Keep work in R Project files

> ### File > New Project...

---

## Your turn

### A. Practice getting organized

1. Open RStudio and create a new R project called `week1`.
2. Create a new R script and save it as `practice.R`.
3. Open the `practice.R` file and write your answers to these questions in it.

]]

### B. Creating & working with objects

1). Create objects to store the values in this table:

| City              | Area (sq. mi.) | Population (thousands) |
|-------------------|----------------|------------------------|
| San Francisco, CA | 47             | 884                    |
| Chicago, IL       | 228            | 2,716                  |
| Washington, DC    | 61             | 694                    |

2) Using the objects you created, answer the following questions:

- Which city has the highest density?
  - How many _more_ people would need to live in DC for it to have the same population density as San Francisco?

]]

---

# >15,000 [packages](https://cran.r-project.org/web/packages/available_packages_by_name.html) on the [CRAN](https://cran.r-project.org/)

---

# Installing packages

### `install.packages("packagename")`
### (The package name **must** be in quotes)

``` r
install.packages("packagename") # This works
install.packages(packagename)   # This doesn't work
```

### **You only need to install a package once!**

---

# Loading packages

### `library(packagename)`: Loads all the functions in a package
### (The package name _doesn't_ need to be in quotes)

``` r
library("packagename") # This works
library(packagename)   # This also works
```

### **You need to _load_ the package every time you use it!**

---

background-color: #fff
class: center

# Installing vs. Loading

---

## Example: **wikifacts**

Install the [Wikifacts](https://github.com/keithmcnulty/wikifacts) package, by Keith McNulty:

``` r
install.packages("wikifacts")
```

Load the package:

``` r
library(wikifacts) # Load the library
```

Use one of the package functions

``` r
wiki_randomfact()
```

```
#> [1] "Here's some news from 11 May 2023. The World Health Organization ends its designation of the COVID-19 pandemic as a global health emergency. (Courtesy of Wikipedia)"
```

---

## Example: **wikifacts**

Now, restart your RStudio session:
> Session -> Restart R

Try using the package function again:

``` r
wiki_randomfact()
```

```
#> Error in wiki_randomfact(): could not find function "wiki_randomfact"
```

---

# Using only _some_ package functions

### You don't always have to load the whole library.

### Functions can be accessed with this pattern:
`packagename::functionname()`

``` r
wikifacts::wiki_randomfact()
```

```
#> [1] "Did you know that on February 5 in 1917 – The U.S. Congress overrode President Woodrow Wilson's veto to pass the Immigration Act of 1917, establishing new restrictions on immigrants, including the wholesale ban of people from much of Asia. (Courtesy of Wikipedia)"
```

---

## If you haven't yet, install [these packages](https://raw.githubusercontent.com/emse-madd-gwu/2024-Fall/main/content/packages.R)

---

# Back `intro-to-R.R` for the rest of class!