R-Markdown and Knitr Tutorial (Part 1)

December 28, 2015
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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

# 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 Markdown as 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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