A Minimal Book Example
1
Introduction
2
Purpose
3
Getting Started
3.1
Downloading the R Engine
3.2
Downloading RStudio
4
Features of RStudio
4.1
The Console
4.2
Source
4.3
Environment/History
4.4
Files/Plots/Packages/Help
5
Projects
5.1
Creating a new project
5.2
Adding folders to a project
6
R Markdown
6.1
Creating an R Markdown Document
6.2
Using an R Markdown Document
6.3
Knitting an R Markdown Document
7
The Basics of Coding in R
7.1
Arithmetic commands
7.2
Creating Variables
7.2.1
Types of Variables
7.2.2
Vectors
7.2.3
Data Frames
7.3
Functions
7.4
Help Documentation
7.5
Googling your error message
7.6
Comments
7.7
Packages
7.7.1
Installing packages
7.7.2
Loading a package
7.7.3
Try psych commands
7.8
Importing Data into R
8
Minihacks
8.1
Minihack 1: R Markdown
8.2
Minihack 2: Arithmetic Commands
8.3
Minihack 3: Functions
8.4
Minihack 4: Help Documentation
8.5
Minihack 5: Data Frames
9
Secondary data analysis & pre-registration of longitudinal analyses
9.1
What is a preregistration?
9.2
But don’t do it for science…
10
Components of a Preregistration
10.1
ABCD example
10.2
fMRI study example
11
Do I have to make my preregistration public?
12
Unique challenges with pre-existing data
13
Some analytic techniques to help
14
Registered reports
14.1
Registered Report Example
14.2
Exploratory Analyses?
14.3
Things you can do now
15
Further Resources
16
MDC ABCD Workshop 2021 Multilevel Model Track 1 Tutorial
16.0.1
Load some ABCD data
16.0.2
Visualize longitudinal study design
16.0.3
Let’s visualize some of the ABCD dataset
16.0.4
Let’s dive into some modeling
16.0.5
Modeling continued — checking out non-linear group-level trajectories
16.0.6
Let’s try a GAMM approach
16.0.7
Looking at models for different groups
16.0.8
Graph models for different groups
References
Published with bookdown
ABCD Workshop Tutorials
References