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 ...

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 ...

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

You could find this answer with traditional programs like R or Excel, but you would have to know what command to use. With Advanced Data Analysis, you can ask in plain language.