My recent experience in blogging with the Ghost platform has been fairly satisfactory. When it comes to writing book reviews, or making short posts, writing up a post in Markdown/html is a fairly efficient process. However as a fledging Bioeconometrician, many of the topics I want to post about relate to data science related posts, and actually assembling them for Ghost is somewhat cumbersome. As an avid user of the R language, and a recent convert in using RMarkdown for the effective communication of applied statistics, I have often wanted a platform where I could write up a post in RMarkdown and post it directly to a website without worrying about embedded image locations and other such complications.
Luckily R bloggers can combine Jekyll, a static site generator suited for Github pages, with a few extra hacks to create an excellent RMarkdown to Github page pipeline. The first thing to do is to go and fork Barry Clark’s excellent Jekyll Now as a template. Next, I used Andy South’s
rmd2md() function to create the necessary images and links for a
LaTeX support can be provided with the MathJax’s highlighter by adding the appropriate code to the
_layouts/default.html file so one can show in-line math statements like \(a^2 + b^2 = c^2\) or equations such as:
The beauty of RMarkdown is that we can easily show snippets of our data:
from pyensembl import EnsemblRelease # release 77 uses human reference genome GRCh38 data = EnsemblRelease(77) # will return ['HLA-A'] gene_names = data.gene_names_at_locus(contig=6, position=29945884)
I’m looking forward to posting any future work I engage in on this site. Feel free to copy the template of this website from here.