clayford
Statistical Research Consultant at the University of Virginia Library
University of VirginiaCharlottesville, VA, USA
Pinned Repositories
consultr
A collection of shiny apps to help quickly explain statistical concepts in a consultation or classroom setting.
CountModels
DataWranglingInR
lecture notes for 1 credit Data Wrangling in R class
ggplot2
Files for UVA StatLab workshop, Fall 2016.
LinearModelingR
LMEMInR
materials for Linear Mixed Effect Modeling workshop
mixeff_modeling_with_r
Mixed-Effect/Multilevel Modeling with R workshop materials
PaSSA
Power and Sample Size Analysis workshop materials
stats_with_stata
TextMining
Text Mining in R workshop materials
clayford's Repositories
clayford/LinearModelingR
clayford/mixeff_modeling_with_r
Mixed-Effect/Multilevel Modeling with R workshop materials
clayford/CountModels
clayford/ISLP_labs
Up-to-date version of labs for ISLP
clayford/PaSSA
Power and Sample Size Analysis workshop materials
clayford/accessibility
Notes on creating accessible R Markdown/Quarto Documents
clayford/analyzing_ranked_data
Notes on analysis of ranked choice data in R
clayford/BDA
Bayesian Data Analysis workshop files
clayford/BLR_in_R
Binary Logistic Regression in R workshop materials - Fall 2022
clayford/CFA_workshop
files for CFA workshop, spring 2018
clayford/CIHR_training_course
Introduction to time series modeling for syndromic surveillance
clayford/claymisc
clayford/Data_Analysis_Basics_with_SPSS
Presentation for SoTL Writing Retreat, July 2023
clayford/effects_pkg
materials for Visualizing Model Effects workshop
clayford/fasteR
Fast Lane to Learning R!
clayford/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
clayford/FSDS
clayford/githelp
my notes on using Git and GitHub
clayford/housing
repo from Building reproducible analytical pipelines with R
clayford/ims
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app.
clayford/phdplus2024
2024 PhD Plus Data Literacy R series
clayford/programming-foundations-data-structures-4410875
This a code repository for the LinkedIn Learning course Programming Foundations: Data Structures.
clayford/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
clayford/R_Environment_Management
R Environment Management workshop - 2023
clayford/r_install
clayford/ROS-Examples
Regression and other stories R examples
clayford/sqlite_notes
Notes and examples from my SQLite studies
clayford/survival_analysis_modeling
Files for Survival Analysis Modeling in R workshop
clayford/Winnipeg
Handling Missing Data in R with MICE
clayford/workshop_checklist
My checklist for teaching workshops