R PACKAGE psycholing

We're putting together an R package with functions for performing standard data processing tasks for many common experimental designs in psycholinguistics and cognitive psychology and for coding and interpreting the results for linear mixed-effects models.

Here's how you can grab and use the current development version of the package:

  1. Install the devtools package if you haven't already. It's available on CRAN.
  2. In R, type devtools::install_github('sfraundorf/psycholing') to both download and install the package in one step.
  3. That's it! You now have the psycholing package installed. You can load it up with library(psycholing) and use it just like any other R package.

You can also check out the GitHub repository for the package.


STATISTICS NOTES

By popular demand, here's a Web-based version of Scott's course in linear mixed-effect models. Disclaimer: These lecture notes are from a previous term, so there's a possibility they no longer reflect current practice in the field.

  1. Introduction to hierarchical linear models & mixed effects models
  2. R basics
  3. Fixed effects
  4. Model comparisons and nested random effects
  5. Crossed random effects and model convergence
  6. Contrast coding for variables with two categories & "Main effects" vs. "simple main effects"
  7. Contrast coding for variables with more than two categories
  8. Categorical outcomes (logistic models)
  9. Effect size and power
  10. Longitudinal data and signal detection theory
  11. Empirical logit and dealing with missing data
  12. Measuring and using individual differences and item differences, reshaping data
  13. Making plots in R