This repository contains all the files used to create a presentations on Markdown / Rmarkdown as well as an introduction to data manipulation with tidyverse.
You can download everything in a zip file, or clone this repository.
This repository contains all the files used to create a presentation on using Markdown for writing academic papers, and on some steps that it is possible to take to go from "raw" Markdown texts to final, camera-ready paper ready for submission to a journal or conference. By utilising the literate programming approach and applying it to the field of Cognitive Science and particularly Psychology, this workshop provides a solution on how to generate reproducible research and academic writing.
The presentation was given by Frank Loesche and Ilaria Torre, on 08/02/2017, at a Coding Lunch session in the School of Psychology of Plymouth University. They are both part of the CogNovo Research Group there.
- Out talk is in doc/MarkUpsAndDowns.pdf
- (source code at doc/MarkUpsAndDowns.Rmd)
In this presentation Frank Loesche highlights some best practices regarding the workflow in an exploratory data analysis. These best practices are implemented and heavily rely on tidyverse packages. This introduction was given on 16/03/2017 as part of CogNovo's WHAT's UP
The workshop has the same underlying principle as David Robinson makes in his article Teach the tidyverse to beginners: tidyverse is an alternative to base-R in teaching data manipulation and allows a very concise method of documenting the changes in data throught code.
- The talk is in doc/DataWorkflow.pdf
- (source code at doc/DataWorkflow.Rmd)
- doc contains all documentation, for example the presentation
- examples has some of the example files mentioned in the presentation
- examples/tidyverse contains some supplementary files for the Data Workflow tutorial
If you are on a system that supports Makefiles, you can type make in a terminal to generate all the files, for example the presentation and the examples. Make allows to quickly regenerate target files from a changed source by keeping track of what needs to be done. In RStudio you can rebuild everything by using the keyboard shortcut [Ctrl]-[Shift]-[B] or select Build->Build All in the menu. Thanks to @earcanal for the initial Makefile.