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.

Get started using the open source R programming language to do statistical computing and graphics on large data sets ...

Course TopicsR 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 ...

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 ...

Multivariate Clustering Analysis in R Course Topics Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration.

Because R is a statistical programming platform, it’s got some pretty elegant ways to extract statistical summaries from data. To extract a few basic stats from a data frame, use the summary ...

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 ...

Get started using the open source R programming language to do statistical computing and graphics on large data sets ...