Research Transparency, Reproducibility & Basic Data Analysis in R!
Research Transparency, Reproducibility, and Basic Data Analysis in R!
Research Transparency, Reproducibility & Basic Data Analysis in R!
Preface
1
Installing R and RStudio
2
Getting Accustomed to R Studio
3
Introduction to R
4
Data Types
5
Strings & Comparisons
6
Importing Data
7
Merging (Joining) and Reshaping Data
8
Data Cleaning
9
Data Exploration with
dplyr
10
Data Visualization with base R and
ggplot2
11
A Very Brief History of Replication
12
Mertonian Norms and Counter-Norms
13
Some Statistical Preliminaries
14
Crises of Replication
15
Common Problems that Hamper Reproducibility
16
Potential Solutions & the Way Forward
17
References
Appendices
A
Answers for
Section 3.8
B
Answers for
Section 4.7
C
Answers for
Section 5.3
D
Answers for
Section 7.5
E
Answers for
Section 8.8
F
Answers for
Section 9.5
G
Kahneman’s Open Letter to Priming Researchers
Research Transparency, Reproducibility & Basic Data Analysis in R!
Shaon Lahiri, PhD, MPH
Preface
