This file implements the FIS method proposed by Xing et al. and demonstrates its usage. Source: Xing Xing, Aiwen Xing, Kannan Natarajan, Haitao Chu, Lifeng Lin, Jiayi Tong, An alternative method for assessing the fragility of survival analysis results: a proof-of-concept study based on the log-rank test, American Journal of Epidemiology, Volume 195, Issue 4, April 2026, Pages 1175–1181, https://doi.org/10.1093/aje/kwaf229

Completed digitisation of a floristic analysis done on plot 4 of the 1987 survey done by Greg Forsyth

Este documento ayuda con el diseño de experimentos de un factor completo.

This project analyzes the historical performance of Apple Inc. (AAPL) stock using data obtained from Yahoo Finance through the R programming language. The analysis focuses on two key aspects of stock performance: historical closing prices and daily returns. The historical stock price visualization helps identify long-term trends and overall growth in Apple’s market value, while the daily returns analysis highlights short-term fluctuations and volatility in stock performance. Interactive charts created using Plotly allow users to explore the data in greater detail through zooming and hovering features. The objective of this analysis is to gain insights into Apple’s stock behavior over time and understand both its long-term price movement and day-to-day return patterns.

This presentation explores the relationship between economic prosperity and life expectancy using the Gapminder dataset. The interactive visualization, built with Plotly in R, allows viewers to examine how GDP per capita correlates with life expectancy across countries worldwide.

All badger locations from animals with at least 10 fixes as of 11th of June