This tutorial was presented at the University of Oregon Developmental Seminar, May 3, 2019.
The repository can be found at: https://github.com/dcosme/specification-curves/
div.grey { background-color:#F5F5F5; border-radius: 5px; padding: 10px;} ❗ Please note a more recent tutorial can be found here:
https://dcosme.github.io/specification-curves/SCA_tutorial_inferential
background The problem: there are many different ways to test a model and we usually only report one or a few specifications. Model selection relies on choices by the researcher and these are often artbitrary and sometimes driven by a desire for significant results.
I was inspired by these amazing examples of specification curves by Julia Rohrer and Amy Orben, so I wrote some code to generate a curve like this:
Below is code to create a specification curve using a toy example from the airquality dataset. Enjoy!
load packages library(tidyverse) library(lme4) library(MuMIn) library(cowplot) run models Run all possible nested models using the dredge function from the MuMIn package.
# set na.
This tutorial was created by Dani Cosme and Sam Chavez as part of PSY 607: Data Science Seminar at the University of Oregon.
The tutorial and associated files can also be found on GitHub.
Overview of the tutorial Background Learn the basics
Explore advanced features
Check out the hugo-academic theme Publish your website to GitHub Background Most of the information in this tutorial is taken from a few amazing resources on using the blogdown package to create static websites in RStudio using R Markdown: