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 ...

In this article, the authors outline methods for using fixed and random effects power analysis in the context of meta-analysis. Like statistical power analysis for primary studies, power analysis for ...

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.

Theory: our theoretical analysis uses foundations from probability theory and statistical analysis. review the material from your introductory stat courses; read chapters 1 to 3. review the material ...

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 ...

I wrote an introductory blog post about how to access and analyze Pew Research Center survey data with R, a free, open-source software for statistical analysis. The post showed how to perform tasks ...