Matti’s homepage - Notes on psychology, statistics, and R, sometimes

A simple statistics syllabus

statistics

education

Here’s a list of some recommended statistics readings for behavioral and social scientists so I don’t have to keep sending the same email out over and over again.

Yet another data request email

psychology

To what extent does infant screen time predict later psychological outcomes?

Latent mean centering with brms

R

modelling

bayes

centering

longitudinal

brms

Researchers studying longitudinal data routinely center their predictors to isolate between- and within-cluster contrasts [@endersCenteringPredictorVariables2007]. This within-cluster centering is…

How I like to set up my computer

tips

computers

Some notes (for myself) on how I like to set up my MacOS environment for work (and fun).

Tidymultiverse

R

statistics

tutorial

multiverse

tidyverse

specr

How to conduct multiverse analyses in R with tidy pipelines and parallel processing.

Some alternatives to raincloud plots

R

visualization

ggplot2

I like raincloud plots, but think that they can duplicate the information a bit, which might have detrimental effects on clarity and comprehension.

How to run R remotely

R

RStudio Server

Docker

Tailscale

tutorial

Running R on a remote computer is surprisingly easy

Website favicons with hexSticker

R

My journey to make a website favicon with the hexSticker R package

Easy notifications from R

R

tips

How to send notifications from R, or any other CLI, to your phone

How to calculate contrasts from a fitted brms model

statistics

tutorial

R

brms

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

How to analyze visual analog (slider) scale data?

psychology

statistics

tutorial

R

brms

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

Combine ggplots with patchwork

data science

visualization

ggplot2

R

How to combine arbitrary ggplots

Glue your strings together

data science

R

Use the glue R package to join strings.

Bayesian Estimation of Signal Detection Models

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…

Bayes Factors with brms

statistics

tutorial

R

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

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…

How to Compare Two Groups with Robust Bayesian Estimation in R

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…

How to arrange ggplot2 panel plots

data science

R

visualization

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

Bayesian Meta-Analysis with R, Stan, and brms

statistics

R

brms

tutorial

Meta-analysis is a special case of Bayesian multilevel modeling

GitHub-style waffle plots in R

R

visualization

data science

tutorial

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

How to create plots with subplots in R

data science

R

visualization

tutorial

Some tips on creating figures with multiple panels in R

Confidence intervals in multilevel models

statistics

R

brms

tutorial

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