Manuscript and all scripts related to our article on 'Informative Null Effects'
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Analysis
Example Data
Manuscript
R-scripts
.gitattributes
.gitignore
COPYING.txt
Informative Null Effects.Rproj
README.md

README.md

Making 'Null Effects' Informative

This repository contains the accompanying example data and analysis scripts for the manuscript "Making 'Null Effects' Informative: Statistical Techniques and Inferential Frameworks" by Harms & Lakens (pre-print available at https://psyarxiv.com/48zca).

Contents

This repository consists of the following:

  • Manuscript: This folder holds the RMarkdown manuscript for the paper (see requirements below).
  • Example Data: The simulated data for the study detailed in the manuscript as CSV file.
  • Analysis: Example analysis scripts for R, JASP and jamovi (see requirements below).
  • R-scripts: Contains supplementary scripts needed for calculations in R (i.e. the Bayes factor with the informed alternativ model) and code for Figure 4.

Requirements

To run the example analysis in R you need to install the following packages:

install.packages(c('pwr', 'TOSTER', 'BEST', 'dplyr', 'hypergeo', 'ggplot2'))

For the manuscript to be compiled into a PDF you need the following additional R packages along with an available LaTeX distribution (see installation instructions for papaja):

install.packages(c('knitr', 'ggbeeswarm', 'devtools'))
devtools::install_github('crsh/papaja')

For the TOST equivalence test in the jamovi example, you need to install the TOSTER module (available through the jamovi library).