Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Practical Data Analysis – An Example: Typical pitfalls encountered when analyzing real-world data. Project Understanding : Methods to map problems to one or many data analysis tasks.

As an example of competing risk analysis in R, we analyze data from 35 patients with acute leukaemia who underwent HSCT. We estimate the cumulative risk of relapse and TRM.

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. Topics Spotlight: AI-ready data centers ...