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Introduction
Markdown has been growing in popularity for writing documents on the web. With the introduction of R Markdown (see also Jeromy Anglim’s post on getting started with R Markdown) and knitr, R Markdown has simplified the publishing of R analysis on the web. I recently converted my website from WordPress to Jekyll. Jekyll is a “static site generator” and is the framework used by GitHub Pages. You can view the complete source for this website on Github at https://github.com/jbryer/jbryer.github.com.
I have outlined two approaches for integrating R Markdown within the Jekyll framework. The first approach implements a Jekyll Converter that will convert rmd
files (the default but configurable) when Jekyll processes the site. The second uses a shell script and R function to convert rmd
files to a plain Markdown file that Jekyll can then process. This approach is necessary when using GitHub Pages because user plugins are not supported.
Approach One: Using a Jekyll Converter
First, we need to install RinRuby to call R from Ruby. In the terminal, execute:
gem install rinruby
Create rmarkdown.rb
and place it in the _plugins
folder. The convert class follows and can be downloaded here.
module Jekyll class RMarkdownConverter < Converter safe true priority :low def setup return if @setup require 'rinruby' @setup = true rescue STDERR.puts 'do `gem install rinruby`' raise FatalException.new("Missing dependency: rinruby") end def matches(ext) ext =~ /rmd/i end def output_ext(ext) '.html' end def convert(content) setup R.eval "require(knitr)" R.assign "content", content R.eval "content <- (knitr::knit2html(text = content, fragment.only = TRUE))" R.pull "content" end end end
In order to use the rmd
file extension (see the ext =~ /rmd/i
line to change the extension used) you need to specify the markdown file extension in the _config.yml
configuration file. Otherwise Jekyll will attempt to process rmd
files as plain Markdown files. This also means that you cannot use md
file extension for markdown files. See this discussion on StackOverflow.
markdown_ext: markdown
Once created, RMarkdownConverter
will convert rmd
files to html
each time Jekyll runs.
Approach Two: Pre-process R Markdown Files
This approach is necessary for Github Pages since plugins are not supported. Using this approach, we can convert the R Mardown file to plain Markdown using the R script below. The converted Markdown file will be saved in the same directory so that Jekyll can then convert the resulting file. For simplicity, I place the rmarkdown.r
function in the root directory of my site (alternatively you can place this in your .Rprofile
file in your home directory). I then call rmd.sh
(also located in the root directory) to first, determine the directory where the script is be executed from, and two, call the convertRMarkdown
function. This function will process all R Markdown files (.rmd
by default) in the current working directory (which can be set explicitly with the dir
parameter or by the rmd.sh
script) and convert them to plain markdown (with .markdown
file extension by default). Once converted, Jekyll will the process the resulting file(s). This file can be downloaded here.
#' This R script will process all R mardown files (those with in_ext file extention, #' .rmd by default) in the current working directory. Files with a status of #' 'processed' will be converted to markdown (with out_ext file extention, '.markdown' #' by default). It will change the published parameter to 'true' and change the #' status parameter to 'publish'. #' #' @param dir the directory to process R Markdown files. #' @param out_ext the file extention to use for processed files. #' @param in_ext the file extention of input files to process. #' @param recursive should rmd files in subdirectories be processed. #' @return nothing. #' @author Jason Bryer <jason@bryer.org> convertRMarkdown <- function(dir=getwd(), images.dir=dir, images.url='/images/', out_ext='.markdown', in_ext='.rmd', recursive=FALSE) { require(knitr, quietly=TRUE, warn.conflicts=FALSE) files <- list.files(path=dir, pattern=in_ext, ignore.case=TRUE, recursive=recursive ) for(f in files) { message(paste("Processing ", f, sep='')) content <- readLines(f) frontMatter <- which(substr(content, 1, 3) == '---') if(length(frontMatter) == 2) { statusLine <- which(substr(content, 1, 7) == 'status:') publishedLine <- which(substr(content, 1, 10) == 'published:') if(statusLine > frontMatter[1] & statusLine < frontMatter[2]) { status <- unlist(strsplit(content[statusLine], ':'))[2] status <- sub('[[:space:]]+$', '', status) status <- sub('^[[:space:]]+', '', status) if(tolower(status) == 'process') { #This is a bit of a hack but if a line has zero length (i.e. a #black line), it will be removed in the resulting markdown file. #This will ensure that all line returns are retained. content[nchar(content) == 0] <- ' ' message(paste('Processing ', f, sep='')) content[statusLine] <- 'status: publish' content[publishedLine] <- 'published: true' outFile <- paste(substr(f, 1, (nchar(f)-(nchar(in_ext)))), out_ext, sep='') render_markdown(strict=TRUE) opts_knit$set(out.format='markdown') opts_knit$set(base.dir=images.dir) opts_knit$set(base.url=images.url) try(knit(text=content, output=outFile), silent=FALSE) } else { warning(paste("Not processing ", f, ", status is '", status, "'. Set status to 'process' to convert.", sep='')) } } else { warning("Status not found in front matter.") } } else { warning("No front matter found. Will not process this file.") } } invisible() }
Here is the source to the rmd.sh
shell script for calling the convertRMarkdown
function. This file can be downloaded here.
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" Rscript -e "source('$DIR/rmarkdown.r'); convertRMarkdown(images.dir='$DIR/images')"
YAML Front Matter
There are two parameters you can specify in the YAML Front Matter to alter how the convertRMarkdown
function handles particular files. First, the published
parameter should be set to false
so that Jekyll will not attempt to process the file. The convertRMarkdown
function will change this parameter to true
in the resulting Markdown file. The second parameter, status
, must be set to process
for the convertRMarkdown
function to convert the file. This is useful when working a draft of a document and you wish to not have the file converted.
published: false status: process
Lastly, one difficulty with Jekyll is the inclusion of images in posts. The default behavior assumes that all images will be saved in the /images
directory. This can of course be configured using parameters to convertRMarkdown
and knitr
options.
Example
The source for this post can be downloaded from GitHub. In this example we will analyze the reading attitude items for North America from the Programme of International Student Assessment using the likert
package. The first R chuck will load and recode the data.
require(likert) data(pisana) ## Warning: data set 'pisana' not found items <- pisana[,c( 'ST24Q01', #Only if I have to 'ST24Q02', #Favourite hobbies 'ST24Q03', #Talk about books 'ST24Q04', #Hard to finish 'ST24Q05', #Happy as present 'ST24Q06', #Waste of time 'ST24Q07', #Enjoy library 'ST24Q08', #Need information 'ST24Q09', #Cannot sit still 'ST24Q10', #Express opinions 'ST24Q11' #Exchange )] ## Error: object 'pisana' not found names(items) <- c("I read only if I have to.", "Reading is one of my favorite hobbies.", "I like talking about books with other people.", "I find it hard to finish books.", "I feel happy if I receive a book as a present.", "For me, reading is a waste of time.", "I enjoy going to a bookstore or a library.", "I read only to get information that I need.", "I cannot sit still and read for more than a few minutes.", "I like to express my opinions about books I have read.", "I like to exchange books with my friends") ## Error: object 'items' not found for(i in 1:ncol(items)) { items[,i] <- factor(items[,i], levels=c(1,2,3,4), ordered=TRUE, labels=c('Strongly Disagree', 'Disagree', 'Agree', 'Strongly Agree')) } ## Error: object 'items' not found l <- likert(items, grouping=pisana$CNT) ## Error: object 'items' not found
Once the likert
has been called we can print the summary.
options(width = 120) summary(l) Error: object 'l' not found
And of course, we can include plots.
plot(l, centered = TRUE) ## Error: object 'l' not found
Final Thoughts
The conversion from WordPress wasn’t necessarily trivial, but the benefits of using Jekyll have made the conversion worth while. The ability to embed R code within the site’s content makes writing posts about R much easier than executing R code, copy and paste to WordPress (or Gists), and publishing in a database back system for a site that changes relatively infrequently. I will soon be publishing results from a large study and this exercise has shown that R Markdown is an ideal solution.
Laslty, I must give a big thanks to Tal Galili who maintains R-Bloggers for his help and patience as I worked out the issues getting the RSS feed to work with his platform.
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