This protocol presents a state-of-the-art computational and statistical RNA-seq differential expression analysis workflow largely based on the free open-source R language and Bioconductor software ...

Since the software they most commonly use does not perform in depth competing risk analysis, we recommend an add-on package for the R statistical software.

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 ...

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

Optimization Tips: Use data.table for faster data manipulation. Profile code with profvis to identify bottlenecks. Conclusion Combining R and Linux creates a powerful environment for statistical ...

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 ...

Using Quarto with Observable offers an elegant workflow if you want to combine data analysis in Python and R with reactivity.

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 ...

William H. Baltosser, Data acquisition, visualization, and analysis using R, Ecology, Vol. 95, No. 11 (November 2014), pp. 3232-3234 ...