Skip to main content

Create Beamer/knitr Lecture Slideshow with Bash, Explain the Script with knitr

Setting up a beamer slideshow is tedious. Creating new slideshows with the same header/footer/style files every week for your course lectures is very very tedious.

To solve this problem I created a simple bash shell script. When you run the script in your terminal it asks whether you want to create a "Lecture" or "Seminar" and what number you want it to have. Then it does the rest.

You can find the script and all of the necessary files here.

To create the README file I used knitr version 0.8's new engine='bash' option. This allows you to knit bash code into your Markdown file the same what you would R code. It's pretty simple. See the R Markdown file for more details.

Please feel free to take and modify the files. Also, if you can help streamline them that would be great.

Oh kind of related tip: If you want a bash command to show up over more than one line in your knitted document place a backslash (\) at the end of the line.


The beamer theme I use is based on something I hammered together awhile ago. See this post for more details.

Comments

jkeirstead said…
Hi Christopher,

I had the same problem too and created a Python-based solution which I called Lectures. It's reasonably similar to your approach and I hope to add some new features in the coming term.

James
James

Nice, I like your solution to the problem too.

Popular posts from this blog

Showing results from Cox Proportional Hazard Models in R with simPH

Update 2 February 2014: A new version of simPH (Version 1.0) will soon be available for download from CRAN. It allows you to plot using points, ribbons, and (new) lines. See the updated package description paper for examples. Note that the ribbons argument will no longer work as in the examples below. Please use type = 'ribbons' (or 'points' or 'lines'). Effectively showing estimates and uncertainty from Cox Proportional Hazard (PH) models, especially for interactive and non-linear effects, can be challenging with currently available software. So, researchers often just simply display a results table. These are pretty useless for Cox PH models. It is difficult to decipher a simple linear variable’s estimated effect and basically impossible to understand time interactions, interactions between variables, and nonlinear effects without the reader further calculating quantities of interest for a variety of fitted values.So, I’ve been putting together the simPH R p…

Slide: one function for lag/lead variables in data frames, including time-series cross-sectional data

I often want to quickly create a lag or lead variable in an R data frame. Sometimes I also want to create the lag or lead variable for different groups in a data frame, for example, if I want to lag GDP for each country in a data frame.I've found the various R methods for doing this hard to remember and usually need to look at old blogposts. Any time we find ourselves using the same series of codes over and over, it's probably time to put them into a function. So, I added a new command–slide–to the DataCombine R package (v0.1.5).Building on the shift function TszKin Julian posted on his blog, slide allows you to slide a variable up by any time unit to create a lead or down to create a lag. It returns the lag/lead variable to a new column in your data frame. It works with both data that has one observed unit and with time-series cross-sectional data.Note: your data needs to be in ascending time order with equally spaced time increments. For example 1995, 1996, 1997. ExamplesNot…

Do Political Scientists Care About Effect Sizes: Replication and Type M Errors

Reproducibility has come a long way in political science. Many major journals now require replication materials be made available either on their websites or some service such as the Dataverse Network. Most of the top journals in political science have formally committed to reproducible research best practices by signing up to the The (DA-RT) Data Access and Research Transparency Joint Statement.This is certainly progress. But what are political scientists actually supposed to do with this new information? Data and code availability does help avoid effort duplication--researchers don't need to gather data or program statistical procedures that have already been gathered or programmed. It promotes better research habits. It definitely provides ''procedural oversight''. We would be highly suspect of results from authors that were unable or unwilling to produce their code/data.However, there are lots of problems that data/code availability requirements do not address.…