Unlock the power of R for biological research with the Quantitative Biosciences Companion in R. This essential lab guide, designed for students and researchers in the life sciences, physics, engineering, and mathematics, offers a hands-on approach to modeling living systems. Explore dynamic processes across cells, organisms, and populations through engaging case studies. Learn to translate biological principles into computational models, develop a diverse toolkit of simulation methods including stochastic processes and agent-based modeling, and master essential R programming skills. This guide emphasizes good coding practices, clear analysis, and independent problem-solving, bridging the gap from classroom learning to real-world research discovery. Ideal for anyone seeking to reason quantitatively about complex biological questions.