1. LDA explained
  2. Counting the total number of…
  3. Significance Test for Kendall’s Tau-b
  4. dimension reduction in ABC [a review’s review]
  5. 9 essential LaTeX packages everyone should use
  6. Linguistic Notation Inside of R Plots! about knitr
  7. knitr Elegant, flexible and fast dynamic report generation with R
  8. knitr Performance Report-Attempt 1
  9. knitr Performance Report-Attempt 2
  10. Question: Why you need perl/python if you know R/Shell [NGS data analysis]
  11. SPAMS (SPArse Modeling Software) now with Python and R
  12. Large-scale Inference and empirical Bayes, they are related with multiple testing
  13. My setup about some softwares and editors
  14. Fancy HTML5 Slides with knitr and pandoc
  15. John talks about Random is as random does
  16. MCMC at ICMS (1)
  17. MCMC at ICMS (2)
  18. MCMC at ICMS (3)
  19. John Cook: Why and How People Use R
  20. An Introduction to 6 Machine Learning Models
  21. Machine Learning: Algorithms that Produce Clusters
  22. Dirichlet Process for dummies