R - Statistics Manual
2021-03-08
1 Introduction
Welcome to the CSCN R Statistics manual. In time, this will become a centralized repository with snippets of code for some of the stuff we do at the Center for Social and Cognitive Neuroscience - CSCN. Its primary intention is to become an (open) internal resource for training, learning and increase our efficiency. As such, it is bound to be full of inacurate information and horrible bugs. Use at your own risk, but do tell us about the horrors you find. Right now, there are tons of things TODO.
Suggestions and contributions can be sent to: gorka.navarrete@uai.cl
1.1 For USERS
The folder R - Statistics Manual can be copied and it should work as it is. Just open the index.html file in a modern browser.
1.2 For Developers and Statisticians
Please, do contribute your code, examples, ideas, criticisms, improvements, simplifications, etc.
If you want to contribute code:
- Do your best to follow Hadley Wickham Style guide
- Follow our Style guide - WIP
- Use relative links
- Thank you!
1.3 Contributors
Gorka Navarrete, Nicolas Carvajal-Sanchez, Alvaro Rivera, David Huepe, Roberto Garcia
1.4 TODO
MOVE THE STUFF BELOW THIS TO ITS PLACE!
1.4.1 Inferential analysis
Here you will find a number of inferential analysis in alphabetical order, and a table showing which ones would work depending on what kind of IV / DV you have.
In the analysis’ page you (normally) will find both the frequentist and the Bayesian versions.
1.4.1.1 Which analysis / graficos / tablas / should I use (?)
| DV/IV | Continuous IV | Categorical IV | Dichotomous IV | Nominal IV |
|---|---|---|---|---|
| Continuous DV | … | … | … | … |
| Categorical DV | … | … | … | … |
| Dichotomous DV | … | AST | … | … |
| Nominal DV | … | AST | … | … |
Analysis
Para cada analisis * Assumptions * Alternatives if failed assumptions * How to interpret results * How to report results
Plots
