R for Small-Scale Fishery Data

Welcome to our interactive R programming course, specifically designed for small-scale fisheries data analysis. Learn through practical tutorials that run directly in your browser - no installation needed. Start with R fundamentals and progress at your own pace, practicing each concept with interactive exercises. Each tutorial builds on previous ones, helping you develop practical skills for analyzing your fisheries data. Browse the tutorials to begin your journey in R programming for fisheries analysis.

Remember: The best way to learn is by doing. Don’t just read the tutorials - try the code, modify it, and experiment with your own data!

1. Getting Started with R: Installation and First Steps

R
Setup
Basics
R is much more than just a statistical software! It’s a complete programming language and environment designed for:
Nov 6, 2024
Lorenzo Longobardi

 

2. Basic Operations in R: A Technical Guide

R
Basics
Operations
When you open R, you’ll see the console window where you type commands and see results. Each command you type is called an “expression” and R evaluates it immediately when…
Nov 6, 2024
Lorenzo Longobardi

 

3. Understanding Data Frames in R

R
Data Frames
Basics
When working with real fisheries data, you’ll rarely deal with simple vectors or single values. Most often, your data will be in a table format with multiple columns…
Nov 6, 2024
Lorenzo Longobardi

 

4. Understanding R Packages: Making Your Life Easier

R
Packages
Basics
Imagine you’re setting up a kitchen. While basic pots and pans (like base R) are essential and can technically cook anything, having specialized tools like a food processor…
Nov 6, 2024
Lorenzo Longobardi

 

3.5 Data Visualization in R: Common Plot Types for Fisheries Data

R
Visualization
ggplot2
Before diving into complex data preprocessing and analysis, understanding your data through visualization is crucial. Think of it like preparing for a fishing trip - just as…
Nov 6, 2024
Lorenzo Longobardi

 

5. Data Preprocessing in R: Getting Your Fisheries Data Ready for Analysis

R
Data Cleaning
Preprocessing
In Small-Scale Fisheries (SSF) research, data rarely comes in a perfect, analysis-ready format. Field data collection, multiple data sources, and various recording methods…
Nov 6, 2024
Lorenzo Longobardi

 

5.2 Data Preprocessing Case Study: Cleaning SSF Landing Site Data

R
Data Cleaning
Preprocessing
Now that we’ve learned essential preprocessing techniques, let’s apply them to real Small-Scale Fisheries data. We’ll work with landing site data from Malawi that contains…
Nov 6, 2024
Lorenzo Longobardi

 

4.5 Statistical Approaches to Data Validation in Fisheries Research

R
Data Validation
Statistics
After cleaning and preprocessing our data, validation is a crucial next step. While preprocessing focuses on formatting and consistency, validation helps us identify…
Nov 6, 2024
SSF Training Team

 

4.6 R Resources for Fisheries Analysis: Essential Tools and Packages

R
Fisheries
Resources
R has become a cornerstone tool in fisheries science, offering a wide range of specialized packages and resources. This tutorial will guide you through some of the most…
Nov 6, 2024
Lorenzo Longobardi
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