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.

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 ...

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 ...

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.

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 ...

The paper describes and provides examples of four different applications of the use of neighbouring plot values in the analysis of agricultural field experiments. The topics include the use of check ...