After many presentations at the Kansas City R Users Group, I decided a couple of years ago to do most of my R programming with github as the version control system. Perhaps I was too eager in my efforts, as I now have 80 different repositories. I may need to combine and consolidate them, but the first step is to list all of them. Well, almost all of them. I am not listing any private archives.

- baby-steps: Illustration of the Metropolis algorithm
- basic-time-series: No description
- bayesian-longitudinal: A simple example of a Bayesian analysis of a two group longitudinal design
- benjamini-hochberg: Simulations involving the Bejamini-Hochberg false discovery rate
- best-statistical-package: Slides and handouts for “What’s the best statistical package” talk
- blogdown: Update my website using blogdown
- build-pmean-website: Build the pmean website entirely from Markdown files
- build-website: Version 2 of building a website from markdown and bibtex files
- business-essentials: Material for a talk I am giving on the business essentials you need when you start and independent consulting practice.
- clinical-research-methodology: Notes for my Clinical Research Methodology class (https://github.com/pmean/MEDB 5510)
- cluster-computing: Tutorials and programs related to cluster computing
- common-programs: A few utility functions that I want to share across multiple projects.
- data-visualization: Teaching materials for a workshop on data visualization.
- equivalence-tests: An illustration of the equivalence and non-inferiority tests
- finding-customers: A presentation on how to find customers for your consulting business
- fixed-width: No description
- function-tutorial: This R program illustrates some advanced methods with functions.
- heart-valve-analysis: Analysis of a large database of heart valve replacement surgeries
- hedging-hyperprior: Some graphs and tables that illustrate the hedging hyperprior
- hello-world: A test case with my very first repository
- hierarchical-prior: This R code shows how to implement a hierarchical hedging of the prior distribution
- how-big-cheatsheet: Supplemental images for the “How Big Is My Graph” cheatsheet
- illustrate-hazard: A simple illustration of the hazard function
- illustrating-linear-regression: A general illustration of linear regression models in R
- illustrating-logistic-regression: Some simple examples of logistic regression
- improving-your-scatterplots: No description
- introduction-meta-analysis: A brief introduction to meta-analysis
- introduction-to-r-part1: Notes and important files for the first part of my Introduction to R class
- introduction-to-r-part2: Notes and important files for the second part of my Introduction to R class
- introduction-to-r-part3: Notes and important files for the third part of my Introduction to R class
- introduction-to-r-part4: Notes and important files for the fourth part of my Introduction to R class
- introduction-to-r: Materials that I use in teaching MEDB5505, Introductiton to R
- introduction-to-SAS: This repository stores much of the material that I will use in MEDB5507, Introduction to SAS
- introduction-to-sql: Illustrations of using SQL and R together
- kappa-precision: Examine the precision of Cohen’s weighted kappa
- lognormal-distribution: A general illustratiton of the lognormal distribution and its use in hierarchical models
- magrittr-examples: A few simple examples of how to use pipes in the R package, magrittr
- map-examples: Some simple examples of mapping and geocoding in R
- mapping-shapefiles: Some simple examples of mapping shapefiles
- median-odds-ratio: An exploration of the median odds ratio and random effects logistic regression
- model-repository: This repository includes the minimal elements (https://github.com/pmean/.gitignore, README.md, and LICENSE) used in all my repositories.
- oddball-characters: A brief review of strange text characters that are likely to confuse your R programs
- panel-counts: Count male and female names for panel discussions at JSM 2019
- papers-and-presentations: No description
- posters-with-pagedown: A quick tutorial on how to create posters using the PageDown library
- presentations-using-rmarkdown: A simple illustration of how you can bypass PowerPoint and create nice presentations using R Markdown
- reliability-and-validity: Practical advice about reliability and validity
- resume: My resume using R Markdown
- rstudio-help: A quick overview of some of the help features built into RStudio
- run-map: Draw map of run and calculate various statistics
- shared-functions: Functions that I can use across multiple projects
- sickle-cell-analysis: R programs for analysis of sickle cell patients and use of ace/arb medications
- simple-merge-examples: Just a few simple examples of merge, cbind, append, etc.
- simulating-clinical-trials: Simulation before, during, and after a clinical trial
- single-imputation: This R program illustrates various methods of single imputation.
- sparse-matrices: A simple illustration of the structure of sparse matrices in R
- Spoon-Knife: Forked from octocat/Spoon-Knife
- stan-tutorial: A tutorial on some of the basic feaatures of Stan, using the RStan package
- stepwise-vs-lasso: A simple example of the data management needed to run and compare stepwise regression to lasso regression
- string-substitution: Simple examples of string substitutions
- study-hierarchical: Study the use of informative priors in a hierarchical model
- survival-lecture1: Programs and data for first lecture in survival analysis
- survival-lecture2: R and SAS code for various models in survival data analysis
- survival-lecture3: Code and output used in the third lecture of my Survival Analysis workshop
- survival-lecture4: peer-reviewed-data-sets
- survival-lecture5: Code and output used in the fifth lecture of my Survival Analysis workshop
- survival-lecture6: No description
- survival-lecture7: Code and output used in the seventh lecture in my Survival Analysis workshop
- survival-lecture8: Code and output used in the eight lecture of my Survival Analysis workshop
- text-mining-examples: Some simple examples of text mining
- transformation-tutorial: An illustration of various transformations in linear regression
- understanding-lasso: A brief exploration of the workings of LASSO regression
- webinar-presentation: Slidify presentation on the hazard function
- write-data-analysis-plan: Presentaiton slides for “How to write a data analysis plan.”
- zipcode-example: Am example of plotting a zipcode shapefile