Introduction to R for Crime Analysts

Welcome to the "Introduction to R for Crime Analysts" book! This resource is designed specifically for crime analysts who are transitioning from SPSS to R. The book is published as a Bookdown project on GitHub and provides a comprehensive guide to getting started with R, including practical examples and tips tailored to crime analysis.

Table of Contents

1. Introduction

   • Overview
   • Why Learn R?
   • Replicating SPSS Functionality in R
   • Transitioning from SPSS to R
   • Conclusion

2. Getting Started with R

   • The R Environment
   • Introduction to R Packages and Installing Key Packages
   • Coding Conventions and Best Practices
   • Data Types and Structures
   • Basic Operations and Functions in R
   • Conclusion

3. Data Management in R

   • Data Import and Export
   • Data Cleaning and Preparation
   • Working with Categorical Data
   • Conclusion

4. Connecting to and Accessing a PostgreSQL Database

   • Introduction
   • Setting Up the Environment
   • Connecting to PostgreSQL (Using RPostgres)
   • Querying Data from PostgreSQL
   • Handling Errors and Troubleshooting
   • Conclusion

5. Descriptive Statistics and Visualisations

   • Introduction to Descriptive Statistics
   • Creating Visualisations with ggplot2
   • Descriptive Statistics with dplyr
   • Advanced Visualisation Techniques
   • Conclusion

6. Survey Analysis in R

   • Introduction to Survey Data
   • Importing and Preparing Survey Data
   • Descriptive Analysis of Survey Data
   • Weighting Survey Data
   • Conclusion

7. Inferential Statistics

   • Hypothesis Testing
   • Correlation Analysis
   • Conclusion

8. Regression Analysis

   • Introduction to Regression Analysis
   • Simple Linear Regression in R
   • Multiple Linear Regression
   • Checking Model Assumptions
   • Transformations and Interaction Terms
   • Logistic Regression
   • Checking Model Assumptions for Logistic Regression
   • Model Validation and Diagnostics
   • Conclusion

9. Regression Analysis

   • Introduction to Regression Analysis
   • Simple Linear Regression in R
   • Multiple Linear Regression
   • Checking Model Assumptions
   • Transformations and Interaction Terms
   • Logistic Regression
   • Checking Model Assumptions for Logistic Regression
   • Model Validation and Diagnostics
   • Conclusion

10. Geographic Mapping and Spatial Analysis

    • Introduction to Geographic Data in R
    • Geographic Coordinate Systems and Projections
    • Creating Basic Maps
    • Spatial Analysis
    • Conclusion

How to Access

You can access the full book online via the following link: Introduction to R for Crime Analysts

Installation

To view the book locally, you will need to clone this repository and render the Bookdown project. Follow these steps:

1. Clone the Repository

   git clone [https://github.com/MOPAC-DS/LearningResource-Intro-to-R.git](https://github.com/MOPAC-DS/LearningResource-Intro-to-R)

2. Install Required Packages

Make sure you have R and the necessary packages installed. You can install them using:

install.packages(c("bookdown", "tidyverse", "ggplot2"))

3. Render the Book

Open R or RStudio and set your working directory to the cloned repository. Then run:

bookdown::render_book("index.Rmd")

This will generate the book in various formats (HTML, PDF, etc.).

Contributing

Contributions are welcome! If you have suggestions for improvements or spot any issues, please open an issue or submit a pull request.

Contact

For questions or feedback, please contact Daniel Hammocks via email daniel.hammocks@mopac.london.gov.uk.

License

This book is licensed under the MIT License.