Statisticians and data miners have been using R software and language for analytics within research and academia environments for some time. This open source community has contributed thousands of ...

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 ...

The R system consists of a scripting language, an interactive command shell and a large library of mathematical functions that can be used for data analysis. Although R has been around for many years, ...

In recent years, many of our researchers have expressed an interest in using R as an integrated environment for data analysis and graphics development. R allows users to generate iterative graphics ...

The primary focus of this course is to help students view various problems from business, economy/finance, and social domains from a data perspective and understand the principles of extracting useful ...

The primary focus of this course is to help students view various problems from business, economy/finance, and social domains from a data perspective and understand the principles of extracting useful ...

clustering[i] <- minindex } Each data item is examined in turn, and the distance from the data item to each of the k means is calculated using the my_dist helper function. The current item is assigned ...

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.

Protocol Published: 22 August 2013 Count-based differential expression analysis of RNA sequencing data using R and Bioconductor Simon Anders, Davis J McCarthy, Yunshun Chen, Michal Okoniewski ...