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<p><strong>Data</strong></p> <p><code>data.Rdata</code></p> <p>ld trial data. Input for the frequency and priming analysis. 448140 lines, word trials only.</p> <p>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) - <a href="http://freq.uk" rel="nofollow">freq.uk</a> (raw uk frequency) - <a href="http://zipf.uk" rel="nofollow">zipf.uk</a> (uk zipf score) - <a href="http://freq.us" rel="nofollow">freq.us</a> (raw uk frequency) - <a href="http://zipf.us" rel="nofollow">zipf.us</a> (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)</p> <p><strong>Priming analysis</strong></p> <p><code>priming_fits.R:</code></p> <ul> <li>fit the models for the priming analysis (running time ~ 2 days)</li> <li>input: <code>data.Rdata</code></li> <li>output: <code>priming_fits.Rdata</code></li> </ul> <p><code>priming_fits.Rdata:</code></p> <ul> <li>fitted model objects</li> </ul> <p><code>priming_report.R</code></p> <ul> <li>report of the priming analysis</li> <li>input: <code>priming_fits.Rdata</code></li> </ul> <p><strong>Frequency effect analysis</strong></p> <p><code>frequency_fit.R</code></p> <ul> <li>fit the models for the frequency analysis (running time ~ 1 week)</li> <li>input: <code>data.Rdata</code></li> <li>output: <code>frequency_fit.Rdata</code></li> </ul> <p><code>frequency_report.R</code></p> <ul> <li>report (mostly adjusted anava tables) for the frequency analysis</li> <li>input: <code>frequency_fit.Rdata</code></li> </ul> <p><code>frequency_plots.R</code></p> <ul> <li>plots for the frequency analysis</li> <li>input: <code>frequency_fit.Rdata</code></li> <li>output: <code>plots</code></li> </ul> <p><strong>Diffusion model analysis</strong></p> <p><code>diffusion.R</code></p> <ul> <li>Analysis of the diffusion model parameters </li> <li>Parameter estimates are made per participant using the fastdm program</li> </ul>
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