**Data**
`data.Rdata`
ld trial data. Input for the frequency and priming analysis. 448140 lines, word trials only.
variables: (27)
- subject (subject index)
- spelling (item spelling)
- lab (lab)
- lexicality (word/nonword)
- target
- cond (priming condition, numeric index)
- cond.digits (priming condition, numeric label)
- cond.label (priming condition, verbal label)
- RT (cleaned RT in milliseconds)
- correct
- lower (lower RT boundary for this participant)
- upper (upper RT boundary for this participant)
- freq.uk (raw uk frequency)
- zipf.uk (uk zipf score)
- freq.us (raw uk frequency)
- zipf.us (uk zipf score)
- aoa (age of acquisition)
- translation (dutch translation)
- distance (levenstein distance between an item and its dutch translation / item length)
- is.cognate (dutch-english cognate or not)
- dutch_neighbors (n of dutch neighbors)
- dutch_neighborhood_frequency (summed frequency of the dutch neighbors)
- english_neighbors (n of english neighbors)
- english_neighborhood_frequency (summed frequency of the english neighbors)
- spelling.test (spelling test score per subject)
- vocab.test (vocab test score per subject)
- language (first/second language subject)
**Priming analysis**
`priming_fits.R:`
- fit the models for the priming analysis (running time ~ 2 days)
- input: `data.Rdata`
- output: `priming_fits.Rdata`
`priming_fits.Rdata:`
- fitted model objects
`priming_report.R`
- report of the priming analysis
- input: `priming_fits.Rdata`
**Frequency effect analysis**
`frequency_fit.R`
- fit the models for the frequency analysis (running time ~ 1 week)
- input: `data.Rdata`
- output: `frequency_fit.Rdata`
`frequency_report.R`
- report (mostly adjusted anava tables) for the frequency analysis
- input: `frequency_fit.Rdata`
`frequency_plots.R`
- plots for the frequency analysis
- input: `frequency_fit.Rdata`
- output: `plots`
**Diffusion model analysis**
`diffusion.R`
- Analysis of the diffusion model parameters
- Parameter estimates are made per participant using the fastdm program
