Joseph Casillas

PhD Candidate

- In this tutorial I am going to show you how to make a presentation just like this one
- I will also show some of the features that can be used in conjunction with slidify (i.e. quizzes and html widgets)
- You can download the current version of this presentation here, use it as a template and edit as you like
- Or you can follow these instructions to make one of your own

`Slidify`

works in R, so you need to download that if you haven't yet.- You also need to make sure you have all of the necessary dependencies installed on your computer
- Open R and copy and paste the following code into the console (you only need to do this once)

```
install.packages("devtools")
install_github('slidify', 'ramnathv')
install_github('slidifyLibraries', 'ramnathv')
```

- Each presentation is called a 'deck'
- Set your working directory to wherever you want the folder (
`setwd("path/here")`

) - Load the
`slidify`

package with`library(slidify)`

- Create the deck with
`author('mydeck')`

- You can name it whatever you want
- This will create a folder with all the necessary files

- You should now have a folder in your working directory with the name you entered above
- All of the necessary files are there
- The
`.Rmd`

file is the only one you need to work with- This is where you will actually modify the deck (your presentation)
- It should have opened automatically if you are using RStudio

- The YAML front matter (the very first thing in the
`.Rmd`

file) should look like this...

```
---
title :
subtitle :
author :
job :
framework : io2012 # {io2012, html5slides, shower, dzslides, ...}
highlighter : highlight.js # {highlight.js, prettify, highlight}
hitheme : tomorrow #
widgets : [] # {mathjax, quiz, bootstrap}
mode : selfcontained # {standalone, draft}
knit : slidify::knit2slides
---
```

- You can fill in the information as you see fit
- You will typically use
`title, subtitle, author, job`

- but the
`widgets`

are also important

- You will typically use

```
---
title : Example slidify
subtitle : Subtitle goes here
author : Joseph Casillas
job : PhD Candidate
framework : io2012 # {io2012, html5slides, shower, dzslides, ...}
highlighter : highlight.js # {highlight.js, prettify, highlight}
hitheme : tomorrow #
widgets : [mathjax, quiz, bootstrap] # {mathjax, quiz, bootstrap}
mode : selfcontained # {standalone, draft}
knit : slidify::knit2slides
logo : ua.png
biglogo : ua.png
assets : {assets: ../../assets}
---
```

- You can make your deck look like this
- Specifically, you should add
`widgets : [mathjax, quiz, bootstrap]`

- The widgets will allow you to...
- make quizzes
- use math formulas and
- utilize the bootstrap framework

- The logos are located in the
`assets > img`

folder- This is where you will add any other images you want to put in your presentation

- Markdown syntax is very easy
- You can find the basics here
- The main thing you need to know is that you make new slides using
`---`

and`##`

`##`

- The double pound sign (hashtags) create the title of the slide
- The title of this slide was made with
`## Rmarkdown syntax`

`---`

- To end a slide use three dashes
- Importantly after you end a slide, you designate the class of the next one
- The default (what you see here) is
`.class #id`

- So I ended this slide using
`--- .class #id`

```
## RMarkdown syntax
- Markdown syntax is very easy
- You can find the basics [here](http://rmarkdown.rstudio.com)
- The main thing you need to know is that you make new slides using `---` and `##`
### `##`
- The double pound sign (hashtags) create the title of the slide
- The title of this slide was made with `## Rmarkdown syntax`
### `---`
- To end a slide use three dashes
- Importantly after you end a slide, you designate the style of the next one
- The default (what you see here) is `.class #id`
- So I ended this slide using `--- .class #id`
--- .class #id
```

- This is the previous slide in markdown

- Once you have made the slides in markdown you are ready to generate the html file that will be your presentation
- You do this using the
`slidify()`

command like this...

```
slidify('index.Rmd')
```

- This will generate a
`index.html`

file. - Double click it and open your presentation in web browser

- You can insert code by surrounding it with ```{r}, followed by ``` (three more ticks)...

```{r}

code here

```

- Here is an example of some simple math

```
2 + 2
```

```
## [1] 4
```

- To do this I typed

```{r}

2 + 2

```

- Here is another example

```
plot(cars)
abline(lm(dist ~ speed, data = cars), col = "red")
```

- Here is a more complex example

```
library(ggplot2)
g <- ggplot(cars, aes(speed, dist))
g + geom_point() +
geom_smooth()
```

Eleanor scores 680 on the Mathematics part of the SAT. The distribution of SAT scores in a reference population is Normal, with mean 500 and standard deviation 100. Gerald takes the American College Testing (ACT) Mathematics test and scores 27. ACT scores are Normally distributed with mean 18 and standard deviation 6. Assuming that both tests measure the same kind of ability, who did better?

*Eleanor*- Gerald

The best way to compare their performance is to calculate their standardized scores.

\[z_E = \frac{680 - 500}{100} = 1.8\] \[z_G = \frac{27 - 18}{6} = 1.5\]

Since, Eleanor has a higher standardized score, we can conclude that Eleanor did better!

Which of these two scatterplots have a higher correlation?

- A
- B

Both have the same correlation.

Linda is 31 years old, single, outspoken, and very bright. She majored in philosophy. As a student, she was deeply concerned with issues of discrimination and social justice, and also participated in anti-nuclear demonstrations.

Which is more probable?

*Linda is a bank teller.*- Linda is a bank teller and is active in the feminist movement.

Think about the probabilities of each event, and that of both of them together.

If you chose (2), stop back and think. Suppose we denote the event of Linda being a teller by A and the event she is active in the feminist movement by B, then probabilities in question can be written as.

- P(A)
- \(P(A \cap B)\)

This is called the conjugacy fallacy that occurs when it is assumed that specific conditions are more probable than a single general one.

The length of human pregnancies from conception to birth varies according to a distribution that is approximately Normal with mean 266 days and standard deviation 16 days.

- What percent of pregnancies last fewer than 240 days?
- What percent of pregnancies last between 240 and 270 days?
- How long do the longest 25% pregnancies last?

- 5.2081279
- 54.6625046
- 276.791836

This is a hint

What is the sample space for this experiment?

Submit and Compare ClearThe solid curve represents the distribution of heights of all males in the US. The dotted curve represents the distribution of heights reported by males on OkCupid, an online dating website.

HTML widgets are interactive graphics made for the web. These are the main libraries available:

- leaflet: interactive maps
- dygraphs: charting time series data
- metricsgraphics: scatterplots, linegraphs and histograms
- networkD3: network graphs
- DT: print dataframes as html
- threejs: 3d scatterplots and globes
- DiagrammeR: pretty diagrams