FROM DATA TO THESIS
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Welcome
Foundations of R Programming and Data Handling
1 Getting Started with R
2 Data Structures in R
3 Data Manipulation
4 Data Visualization
Statistical Analysis for Research
5 From Research Question to Data
6 Descriptive Statistics and Exploratory Data Analysis
7 Hypothesis Testing and Statistical Inference
8 ANOVA and Regression
9 Multivariate Statistical Methods
10 Mixed-Effects Models
Machine Learning with R
11 Introduction to Machine Learning in R
12 Classification Models
13 Predictive Regression
14 Advanced Clustering
15 Neural Networks
16 Time Series Forecasting
Reproducible Research and Applications
17 Reproducible Research
18 Using AI with R
19 Putting It All Together
References
Appendices
A Installation and Setup
B Glossary
C R Packages
D Common Errors and How to Fix Them
E Further Learning Resources
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References
19 Putting It All Together
A Installation and Setup