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R-Markdown is a great way to create dynamic documents with embedded chunks of R code. The document is self contained and fully reproducible which makes it very easy to share. This post will be the first in a multi part series on how to embed Plotly graphs in R-Markdown documents as well as presentations.
R-Markdown is a flavor of markdown which allows R-users to embed R code into a markdown document. The document is then ‘knit’ using knitr to create a HTML file.
Getting started
- 
We’ll use R-Studio to create our R-Markdown document. You can download it here -> http://www.rstudio.com/products/rstudio/download/ 
- 
Next we’ll install a few packages just to ensure we have everything we need to get started. 
# Not run
# install.packages('rmarkdown')
# install.packages('plotly')
- Note: you can download the function definition for GetYahooData()here
- Now we should be good to go…
Creating a R-Markdown document
- 
Click on File -> New File -> R Markdownas shown below.
- 
You should now see a dialog as shown below. Select ‘Document’ in the left panel and fill in title and author field and hit ‘OK’. 
- You should now have a document which looks like this –
Code chunks
To embed R code into the document, code needs to be inserted as shown below.
Inserting a Plotly graph
Inserting an awesome interactive Plotly chart is as simple as printing out the plotly object in a code chunk. Use the code snippet below.
source("Yahoo Stock Data Pull.R")
AAPL <-  GetYahooData("AAPL")
IBM <- GetYahooData("IBM")
# Plotly chart 
library(plotly)
mat <-  data.frame(Date = AAPL$Date, 
                   AAPL = round(AAPL$Adj.Close,2),
                   IBM = round(IBM$Adj.Close,2))
p <- mat %>% 
  plot_ly(x = Date, y = AAPL, fill = "tozeroy", name = "Microsoft") %>% 
  add_trace(y = IBM, fill = "tonexty", name = "IBM") %>% 
  layout(title = "Stock Prices", 
         xaxis = list(title = "Time"),
         yaxis = list(title = "Stock Prices"))
p  # Thats it !
Knitting the R-Markdown document
Now that our R-Markdown document is complete with text, code and graphs, we can go ahead and click the little ‘Knit HTML’ button to generate a HTML file.
We now have a nicely formatted HTML file !
Further reading
Please refer to the following resources for more details
– R-Markdown cheatsheet
– Plotly R Library
– Knitr
More to come…
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