## Resources

On my

**GitHub page**, you can find slides, scripts, datasets and R functions for analysing/exploring data. I've also included some material on LaTeX for linguists.**Portuguese Stress Lexicon**(Garcia*to appear*)**Introduction to data analysis using R****Bayesian statistics:**interactive plot (prior, likelihood & posterior)- Word generator:
**script** - Phonotactic patterns:
**script** **Phonological similarity calculator in R**(including option for string distance)**Bigram probability function in R**(segment level)**Running experiments on Praat**- LaTeX for linguists (my
**blog**with some teaching resources)

## Some useful R-related links

**Statistical Rethinking**: Book page + great material/videos on Bayesian statistics (R + Stan)\**sjPlot**: Package for plotting multilevel models (random/fixed effects etc.)**BEST**: Package for running Bayesian estimation (link to original paper etc.)**Bayesian Cognitive Modelling**: Book (self-explanatory title)**Doing Bayesian Data Analysis (2nd Edition)**: Comprehensive book on the topic (R + Jags)**Plot.ly**: Package for interactive plots (+ user-friendly web interface)**Advanced R**: Great book if you're already familiar with R and want to go the extra mile**dplyr:**If you don't already use it, this is one of the most useful packages for data manipulation (*'the new plyr'*)**stringr**: Makes your life a little easier when working with strings in R**ggmcmc:**ggplot for MCMC (if you really want to use ggplot to visualize your posterior distribution etc.)