This is the code underlying this guide. There is a non-interactive version here if the interactive version doesn't run. You can run the interactive verison it in RStudio (see below) or on a shiny server. If you expect fewer visitors, using RStudios built-in upload to http://shinyapps.io is very convenient.
The file include/index.html is hosted locally at lindeloev.net to make Twitter Cards etc. work.
Most people default to using gaussian models to model reaction times. It has a poor fit to the actual data as even the simplest model assessment would tell you. I demonstrate that the shifted log-normal is superior in terms of fit, interpretability while being just as easy to use. The Drift-Diffusion Model is has greater theoretical value but is harder to fit.
Here is a review of various models that you can play with interactively if you run the app:
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Download the files to a folder
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If you haven't already: Install and open RStudio. Then run this in the console to install the needed packages:
install.packages('shiny', 'rtdists') -
Open
index.Rmd. -
Press CTRL + SHIFT + K to launch it. Navigate the document in the Viewer pane or open it in the browser by clicking the small icon at the top of the Viewer pane.
RewriteEngine on
RewriteCond %{HTTP:X-Forwarded-Proto} https
RewriteRule ^(.*)$ http://lindeloev.net/shiny/rt [R=301,L]