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knitr showcase Examples from other users

Below are links related to knitr in other websites and applications (if you have more, or you do not like your links to be listed here, please feel free to let me know).


Book Reviews

Below is a list of the book reviews on Dynamic Documents with R and knitr.


R Packages


Below is a lecture on knitr kindly shared by Roger Peng for the Coursera course Computing for Data Analysis:

And below are some other courses related to knitr:

  • BMI 826-003 (Tools for Reproducible Research) by Karl Broman, University of Wisconsin-Madison
  • Reproducible Research by Roger Peng, Coursera
  • Introduction to data science by Mahbubul Majumder, University of Nebraska at Omaha
  • BIOS 301 (Introduction to Statistical Computing) by Chris Fonnesbeck, Vanderbilt University
  • Math 344 (Probability and Statistics) by Randall Pruim, Calvin College
  • Stat 506 (Advanced Regression) by Jim Robison-Cox, Montana State University
  • STT 3820 by Alan T. Arnholt, Appalachian State University
  • Math 747 (Topics in math biology) by Ben Bolker, McMaster University
  • STAT 319 (Applied Statistics in Science) by Yuan Huang, Penn State University (also see the tutorial Create Dynamic R Statistical Reports Using R Markdown)
  • some notes on reproducible research by Aedin Culhane, Harvard University
  • STAT 622 (Bayesian Data Analysis) by Marina Vannucci, Rice University
  • STA613/CBB540 (Statistical methods in computational biology) by Barbara Engelhardt, Duke University
  • Stat 590 (Statistical Computing) by Erik Erhardt, University of New Mexico
  • STAT 497C (Topics in R Statistical Language) by Eric Nord, Penn State University
  • CSSS-Stat 567 (Statistical Analysis of Social Networks) by Peter Hoff, University of Washington
  • Math 15 (Statistics) by David Arnold, College of the Redwoods
  • STAT 545A Exploratory Data Analysis by Jennifer Bryan, University of British Columbia
  • STAT545 Introduction to Computational Statistics, by Vinayak Rao, Purdue University
  • Sta 101 Data Analysis and Statistical Inference, by Mine Çetinkaya-Rundel, Duke University
  • GEOL 6370 Data Analysis in the Geosciences, by Steven M. Holland, University of Georgia

Workshops and Presentations

Below is a tutorial kindly made and shared by Joshua Wiley:

More text versions of presentations:


Papers and reports

Wrappers in other languages

Blog posts