R for Sport Science: Free Load Monitoring Code

Key Features:

1. Streamlined Setup

• Automatically installs and loads essential R packages (tidyverse, readxl, etc.) for seamless execution.

• Supports automated workflows with reusable and modifiable code.

2. Data Import & Cleaning

• Imports CSV data directly from Strava exports.

• Filters and cleans data, focusing on running activities with valid distances.

• Handles time formats.

3. Descriptive Statistics

• Computes a range of statistics (mean, median, standard deviation, skewness, etc.) for metrics such as speed, heart rate, and time.

• Presents results in a styled, professional table using the kableExtra package for easy interpretation.

4. Visualizations

• Distribution Plot: Visualizes the distribution of running metrics using a raincloud plot for individual metrics.

• Workload Analysis: Tracks weekly running distance, 4-week moving averages, and 12-week variability bands with clear annotations.

5. Workload Monitoring

• Analyzes long-term trends with rolling averages and variability measures.

• Generates a workload chart to highlight weekly performance, variability, and short-term trends.