This code generates Quantile Probability Plots, often used in investigating the distribution of reaction times when there are several conditions and several subjects. With this code you can easily generate simple quantile probability plot, quantile probability plot with a superimposed scatterplot, quantile prob. plot with a reverse or separate plot for error and mistakes and so on.
Read my personal website for more information: https://biscionevalerio.wordpress.com/2015/02/20/quantile-probability-plot/
For some example and testing, open "testQuantProbPlot". I use a diffusion process to generate big samples of data from several simulated subject across several conditions. You can make your tests with this function :-)
Citation pour cette source
Valerio Biscione (2024). Quantile Probability Plot (https://www.mathworks.com/matlabcentral/fileexchange/49779-quantile-probability-plot), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Continuous Distributions > Exponential Distribution >
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Remerciements
Inspiré par : maxMinC.zip, Drift Diffusion Process
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1.1.0.0 | update text. |
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