Feb. 6, 2020

Matti Vuorre

statistics

tutorial

R

brms

Answer more questions with your estimated parameters, without refitting the model.

Feb. 18, 2019

Matti Vuorre

psychology

statistics

tutorial

R

brms

A reasonable choice might be the zero-one-inflated beta model

Dec. 13, 2018

Matti Vuorre

data science

visualization

ggplot2

R

How to combine arbitrary ggplots

Dec. 12, 2018

Matti Vuorre

data science

R

Use the glue R package to join strings.

Oct. 9, 2017

Matti Vuorre

psychology

statistics

tutorial

R

brms

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.

March 21, 2017

Matti Vuorre

statistics

tutorial

R

brms

How to calculate Bayes Factors with the R package brms using the Savage-Dickey density ratio method.

Jan. 4, 2017

Matti Vuorre

statistics

tutorial

R

visualization

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.

Jan. 2, 2017

Matti Vuorre

statistics

tutorial

R

brms

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.

Dec. 6, 2016

Matti Vuorre

data science

R

visualization

Arrange your visual display of information to maximize your figures' impact.

Sept. 29, 2016

Matti Vuorre

statistics

R

brms

tutorial

Meta-analysis is a special case of Bayesian multilevel modeling

March 24, 2016

Matti Vuorre

R

visualization

data science

tutorial

Attractive visualization for plotting activity over time in R with ggplot2.

March 15, 2016

Matti Vuorre

data science

R

visualization

tutorial

Some tips on creating figures with multiple panels in R

March 6, 2016

Matti Vuorre

statistics

R

brms

tutorial

How to obtain average & individual-specific confidence limits for regression lines in a multilevel regression modeling context

Hi ðŸ‘‹ 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.

Questions? Comments? Feel free to get in touch.

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- Articles (13)
- brms (7)
- data science (5)
- ggplot2 (2)
- psychology (2)
- R (13)
- statistics (8)
- tutorial (10)
- visualization (5)

If you see mistakes or want to suggest changes, please create an issue on the source repository.

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 ...".