Dress your R code for the Web with Pretty R

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If you have some R code to include in a document, especially a Web-based document like a blog post, the new “Pretty R” feature on inside-R.org can help you make it look its best. Given some raw R code, it will create a HTML version of the code, adding syntax highlighting elements and links. Functions, strings, comments and literals are all color-coded to make reading easier, and function names are linked to the corresponding R help pages in the Language Reference from inside-R.org.

For example, the Freakonometrics blog had an excellent post the other day on using time series methods to forecast pageviews reported on Google Analytics. (It's a great blog if you haven't checked it out before. I also like it because it gives me a chance to brush up on my French. But I digress.) The author, Arthur Charpentier, did include the R code, but I found it a little hard to read. Here's a screenshot:

R code
I cut-and-pasted the code into the Pretty R tool (after removing the > and + prompts, which I recommend as good practice for posting R code — it makes it easier for others to paste it into a script), and then just pasted the resulting HTML into this blog post. Here's the result:

for(h in 0:(length(X)-kt)){
  model  <- arima(X[1:(kt+h)],c(7 ,   # partie AR 
                    1,                # partie I
                    7),method="CSS")  # partie MA
  forecast <- predict(model,200) 

The Pretty R tool is open to everyone, you don't need to set up an account to use it. I hope it's useful to all R authors and bloggers.

inside-R.org: Pretty R Syntax Highlighter

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