In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

R is a free computing and graphical software/environment for statistical analysis. This short course is designed to provide a basic statistical analysis in R using two data. The first data set comes ...

An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: ...

Although there are many commercially available statistical software packages, only a few implement a competing risk analysis or a proportional hazards regression model with time-dependent covariates, ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to teach you ...

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier. Tiobe now places R in 21st position and suggests the ...

The systematic mapping of protein interactions by bait–prey techniques, including affinity purification-mass spectrometry or the yeast two-hybrid system, contributes a unique and relevant perspective ...