Psy Ops: A Guide
Introduction
I Context
1
Science
2
Psychology
3
Theory
4
Causality
5
Data
6
Ethics
7
Open Science
7.1
Transparency
7.2
Inclusion
7.3
Free/Libre and Open Source Software
7.4
Open Data
7.4.1
Types of data participants provide
7.4.2
Raw data
7.4.3
Processed data
7.4.4
Born Open Data
7.5
Open Materials
8
Privacy and Property
8.1
The General Data Protection Regulation
8.1.1
Identifiability
8.2
Intellectual Property Law
9
Psychological Technology
II Tools
10
LimeSurvey User Management
10.1
Creating a user account
10.2
Granting a user access to your survey
11
Git
11.1
Git Bash
11.2
Rights
11.3
Operational chapters about Git
12
GitLab
13
Markdown
13.1
Basic layout
13.2
Figures and Tables
14
Regular Expressions
15
R
15.1
R Packages
15.2
Namespaces
15.3
Objects
15.3.1
Dataframes
15.3.2
Alternatives to dataframes
16
RStudio
16.1
RStudio projects
16.2
Rendering R Markdown documents
16.3
Interacting with Git
16.4
RStudio themes
III Operations
17
Files and Directories
17.1
Characters you can use
17.2
Smart naming
18
Managing a GitLab Project
18.1
Creating a new repository
18.2
Quick Actions
18.3
User Management
19
Git basics
19.1
Introducing yourself
19.2
Changing a commit
19.3
Unsetting your password
19.4
Getting started: cloning
19.5
Working on files in a repo: pulling, committing, and pushing
19.6
Preventing files from syncing
19.7
Merge conflicts
19.8
Resolving merge conflicts
19.9
Renaming a repository
19.10
Advanced: branching
19.11
Advanced: rename a branch
20
Interacting with Git in RStudio
20.1
Setting your username and email address
21
Learning R
22
Using GitLab Continuous Integration
23
Informed Consent
23.1
Consent to participate
23.2
Consent to publish data
24
Choosing a license
25
Anonymizing Data
26
Managing References And Citations
26.1
Managing the references for a publication
26.2
Downloading a Zotero group library for use in R Markdown
26.3
Citing sources in R Markdown
27
Tips and Tricks for Writing in R
27.1
Finding the right words
28
Designing Presentations
29
Giving presentations
30
Doing a Systematic Review
30.1
Planning a systematic review
30.2
Query Crafting and Databases Versus Interfaces
30.2.1
Queries as logical expressions
30.2.2
Database fields
30.2.3
Wildcard characters
30.2.4
Team Consensus and Expert Consultation
30.2.5
Databases versus Interfaces
30.2.6
“Smart” searching
30.2.7
Query validation
30.2.8
Exporting query hits
30.3
Screening efficiently and avoiding double work
31
Bibliographic Databases And Interfaces
IV Appendices and references
32
References
PDF
EPUB
Psy Ops: A Guide
Chapter 21
Learning R
(from
this thread
, also read the responses for some consolation if you’re having a hard time)