Posts
How to calculate contrasts from a fitted brms model
Answer more questions with your estimated parameters, without refitting the model.
How to analyze visual analog (slider) scale data?
A reasonable choice might be the zero-one-inflated beta model
Combine ggplots with patchwork
How to combine arbitrary ggplots
Glue your strings together
Use the glue R package to join strings.
Bayesian Estimation of Signal Detection Models
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.
Bayes Factors with brms
How to calculate Bayes Factors with the R package brms using the Savage-Dickey density ratio method.
How to create within-subject scatter plots in R with ggplot2
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.
How to Compare Two Groups with Robust Bayesian Estimation in R
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.
How to arrange ggplot2 panel plots
Arrange your visual display of information to maximize your figures' impact.
Bayesian Meta-Analysis with R, Stan & brms
Meta-analysis is a special case of Bayesian multilevel modeling
GitHub-style waffle plots in R
Attractive visualization for plotting activity over time in R with ggplot2.
How to create plots with subplots in R
Some tips on creating figures with multiple panels in R
Confidence intervals in multilevel models
How to obtain average & individual-specific confidence limits for regression lines in a multilevel regression modeling context