Find the patterns in your data sets using these Clustering.R script tricks.

Statisticians and data miners have been using R software and language for analytics within research and academia environments for some time. But, over the last 2 years the adoption of R has taken off ...

The Data Science Lab Fundamentals of T-Test Using R Linear regression was easy, right? Now, let's check out t-test analysis using R. By James McCaffrey 02/02/2016 ...

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 ...

Considering a career as a data analyst or data engineer? Explore the differences between the roles and how they collaborate ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

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 ...

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.

Students will also gain the hands-on experience using R -- a programming language and software environment for data analysis and visualisation. Learning basic data analytic methods and techniques is ...

Big data analytics can make sense of the data by uncovering trends and patterns. Machine learning can accelerate this process with the help of decision-making algorithms.