Slidify

Slidify can be installed from github using Hadley's devtools package

library(devtools)
install_github('slidify', 'ramnathv')

If you are on Windows, you will need gcc and RTools to get devtools working.

You can initialize a slide deck using the author function

library(slidify)
author("mydeck")

This will do the following

1. Create a new directory named mydeck.
2. Copy necessary scaffolding for the presentation.
3. If git is installed on the system
   • initialize a new git repo.
   • checkout and switch to gh-pages branch
   • add and commit all files to the repo
4. Open index.Rmd for you to edit.

 ---
 title    : Title 
 substitle: Subtitle
 author   : Author
 job      : Job
 widgets  : []
 mode     : selfcontained
 ---

 ## Slide 1

 Use an empty line followed by three dashes to separate slides!

 --- .class #id 

 ## Slide 2

1. Edit the metadata in the YAML front matter.
2. Write your slides in R Markdown.
3. Separate your slides by an empty blank line followed by three dashes.

Add slide classes and id by appending them to the slide separator

 --- #montreal bg:url(http://goo.gl/cF6W2)

 ## Montreal by Night Time

 --- #dillinger

 <iframe src = 'http://dillinger.io' height='600px'></iframe>

 --- .middle 

 Slidify is Awesome

Slidify is designed to be modular and provide a high degree of customization for the more advanced users.

Use the options framework and theme to style your deck!

---  plot #simple-plot

## A Simple Plot ##

Let us create a simple scatterplot.

```{r simple-plot, fig.height = 6, fig.align = 'center', message = F}
require(ggplot2)
qplot(wt, mpg, data = mtcars)
```

---  plot #simple-plot

## A Simple Plot ##

Let us create a simple scatterplot.

```r
require(ggplot2)
qplot(wt, mpg, data = mtcars)
```

![plot of chunk simple-plot](figure/simple-plot.png) 

$id
[1] "simple-plot"

$html
[1] "<h2>A Simple Plot</h2>\n\n<p>Let us create a simple scatterplot.</p>\n\n<pre><code class=\"r\">require(ggplot2)\nqplot(wt, mpg, data = mtcars)\n</code></pre>\n\n<p><img src=\"figure/simple-plot.png\" alt=\"plot of chunk simple-plot\"> </p>\n"

$header
[1] "<h2>A Simple Plot</h2>"

$level
[1] "2"

$title
[1] "A Simple Plot"

$content
[1] "<p>Let us create a simple scatterplot.</p>\n\n<pre><code class=\"r\">require(ggplot2)\nqplot(wt, mpg, data = mtcars)\n</code></pre>\n\n<p><img src=\"figure/simple-plot.png\" alt=\"plot of chunk simple-plot\"> </p>\n"

All the heavy lifting is actually done by three awesome R packages. Slidify is merely a wrapper around them.

• Yihui Xie (knitr)
• RStudio (markdown)
• Edwin de Jonge (whisker)

Slidify builds on HTML5 slide frameworks created by several individuals and organizations.

Syntax highlighting is powered by open source highlighters.

I have extensively borrowed ideas and features from HTML5 slide converters written in other languages. I have also borrowed from blogging frameworks.

1. An Introduction to R
2. How to Make HTML Slides with knitr
3. Fancy HTML5 Slides with knitr and Pandoc
4. Visualize World Bank Data
5. Interactive Presentations with deck.js

1. Interactive Reports in R with knitr and RStudio
2. Getting Started with R Markdown, knitr and RStudio
3. Dynamic Content RStudio, Markdown and Marked
4. Using Markdown with RStudio
5. Example Reproducible Report using R Markdown
6. Interactive Slides with R, googleVis and knitR
7. knitr, Slideshows and Dropbox