How to Do and Turn in an Assignment
Celia Evans, PhD
2022-07-20
library(tidyverse)## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4
## ✔ tibble 3.1.7 ✔ dplyr 1.0.9
## ✔ tidyr 1.2.0 ✔ stringr 1.4.0
## ✔ readr 2.1.2 ✔ forcats 0.5.1## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()Introduction
<You will write your summary in this part of the file, you should say what your objective is and clearly state any assumptions>
<If you have particular finding, not applicable here, you should present a summary of them in your introduction>
<Depending on the project you may need to include an Executive Summary, more on that later.>
The purpose of this notebook is to <explain how to format and turn
in an assignment. This example assumes you have been asked to do a set
of problems,we will us R4DS “R for Data Science](”https://r4ds.had.co.nz/index.html“)
<As you review this notebook, knit it and notice how the different typographical effects relate to the notebook file.>
To turn in your work, you will create an RPubs file and send me the link. We’ll talk about that at the end of this presentation.”>
<Text contained between <> are instructions from me and would not be required in your submission.> ## Doing an Exercise from a Book
<First restate the exercise, including a code block if one is part of the statement>
Exercise 3.3.1
- Whats gone wrong with this code? Why are the points not blue?1
ggplot(data = mpg) +
geom_point(mapping=aes(x = displ,y = hwy, color = "blue"))
#### Answer The color keyword is in the aes
function and color is not a variable in mpg. To fix it we
must move the color assignmet out of the argument of aes
but keep it in the argument of geom_point.
ggplot(data = mpg) +
geom_point(mapping=aes(x = displ,y = hwy), color = "blue")
Exercise 3.3.1
2$. Which variables in mpg are categorical? Which variables are continuous? (Hint: type ?mpg to read the documentation for the dataset). How can you see this information when you run mpg? 2
Answer:
| variable name | Cat or Con |
|---|---|
| manufacturer | categorical |
| model | character variable |
| displ | continuous |