Using LaTeX for Math Formulas on the Web

April 20, 2011

(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)

I love the idea of using R+LaTeX+Sweave for reproducible research. This is even easier now that R has a jazzy new IDE that supports Sweave syntax highlighting and automatic PDF generation.

I know I’m going to take some flak for saying this, but let’s be honest here… If you’re working in the biomedical sciences, chances are, your collaborators have never heard of Sweave. Physicians only use LaTeX during surgery. Lots of folks you work with probably think real applied statistics can only be done in SAS (if you’re one of them, please see Most biomedical journals will only accept MS Word .doc files during manuscript submission. NIH grant applications use a standardized MS Word template.

These are a few of the reasons I don’t routinely incorporate LaTeX+Sweave in my analysis workflow.

That said, one of the things LaTeX is really good for is mathematical typesetting. Writing out math formulae using LaTeX is fast, intuitive, and your plain-text code is portable. If you’re ever posting a question on stats.stackexchange, editing Wikipedia, or if you’re like me and keep your lab notebook online in a private blog online, using LaTeX conventions for typesetting formulae can be extremely handy.’s Online LaTeX Equation Editor makes it very simple to use HTML to add formulae to your blog or anywhere on the web. The idea’s simple – you type in the LaTeX code for the formula you want, e.g.


And you’ll get this HTML code:

<img src=”{err}=\sum_i({y_i-\hat{y}_i})^2″ title=”SS_{err}=\sum_i({y_i-\hat{y}_i})^2″ />

This HTML code generates a hosted image that you can copy and paste anywhere on the web you like. Paste this into the compose window in Blogger, and it looks like this:

Online LaTeX Equation Editor

To leave a comment for the author, please follow the link and comment on their blog: Getting Genetics Done. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: ,

Comments are closed.


Mango solutions

RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training


CRC R books series

Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)