Answer more questions with your estimated parameters, without refitting the model.
A reasonable choice might be the zero-one-inflated beta model
How to combine arbitrary ggplots
Use the glue R package to join strings.
Signal Detection Theory (SDT) is a popular theoretical framework for modeling memory and perception. Calculating point estimates of equal variance Gaussian SDT parameters is easy using widely known formulas. More complex SDT models, such as the unequal variance SDT model, require more complicated modeling techniques. These models can be estimated using Bayesian (nonlinear and/or hierarchical) regression methods, which are illustrated here.
How to calculate Bayes Factors with the R package brms using the Savage-Dickey density ratio method.
Scatterplots can be a very effective form of visualization for data from within-subjects experiments. You'll often see within-subject data visualized as bar graphs (condition means, and maybe mean difference if you're lucky.) But alternatives exist, and today we'll take a look at within-subjects scatterplots.
2017 will be the year when social scientists finally decided to diversify their applied statistics toolbox, and stop relying 100% on null hypothesis significance testing (NHST). A very appealing alternative to NHST is Bayesian statistics, which in itself contains many approaches to statistical inference. In this post, I provide an introductory and practical tutorial to Bayesian parameter estimation in the context of comparing two independent groups' data.
Arrange your visual display of information to maximize your figures' impact.
Meta-analysis is a special case of Bayesian multilevel modeling
Attractive visualization for plotting activity over time in R with ggplot2.
Some tips on creating figures with multiple panels in R
How to obtain average & individual-specific confidence limits for regression lines in a multilevel regression modeling context
Hi 👋 I'm Matti Vuorre, a psychological scientist at the University of Oxford. I sometimes write technical articles about statistics, data science, and psychology on this blog.
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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/mvuorre/mvuorre.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".