Discover m-clark/webR Open Source project by Michael Clark (@m-clark)

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Created almost 8 years ago
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m-clark

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Raw files for a document providing an introduction to web-scraping and beyond in R.

Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

193

mixed-models-with-R

Covers the basics of mixed models, mostly using @lme4

127

bayesian-basics

🚫 ↩️ A document that introduces Bayesian data analysis.

Stan

generalized-additive-models

A document introducing generalized additive models.📈

models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

mixedup

An R package for extracting results from mixed models that are easy to use and viable for presentation.

visibly

👓 Functions related to R visualizations

NineteenEightyR

🌄 📼 like totally rad

book-of-models

Spells for everyday living. (also a book coming out in 2024)

Jupyter Notebook

m-clark.github.io

Personal website

data-processing-and-visualization

This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Python as Jupyter notebooks.

Jupyter Notebook

sem

◽ <- ⚪ Structural Equation Modeling from a broader context.

generalized-additive-models-workshop-2019

A workshop on using generalized additive models and the mgcv package.

introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

mixed-models-with-r-workshop-2019

Workshop on using Mixed Models with R

text-analysis-with-R

📖 📚 📰 Workshop that demonstrates using and analyzing text in R.

noiris

Any data but iris 👁

exploratory-data-analysis-tools

A survey of tools that make EDA more automated.

latent-variable-models-workshop-2019

A workshop on latent variables models including factor analysis, PCA, SEM, etc.

mixed-models-with-R-workshop

This is the companion slides, data, and RStudio project for a workshop on mixed models.

more-mixed-models-2019

Demonstration of alternatives to lme4

gammit

Functions for using mgcv for mixed models. 📈

R-models

A quick reference for how to run many models in R.

docs

Documents that go into methodological detail regarding various statistical procedures.

TeX

confusionMatrix

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

stanR_workshop

A workshop on using Stan with R.

Stan

Introduction-to-Rmarkdown

Workshop to introduce R Markdown and related, with an eye toward reproducible research.

lazerhawk

An R package of miscellaneous functions.

R-I-Basics

Getting started with using R more intently.

topic-models-demo

Demonstration of a standard topic model approach

mcmc-algorithms

Raw files for a document providing a list of mcmc algorithm descriptions.

tidyext

Extensions and extras for tidy processing.

R-III-Modeling

Using models to understand relationships and make predictions.

R-II-Programming

Basic programming with R- understanding objects, iterative methods, writing functions, code style, and more.

advice-to-the-graduate

Some thoughts, particularly for graduate students, but any researcher in applied disciplines on what they can do regarding statistical and programming basics to make their research efforts more efficient.

Shell

data-manipulation-in-r

Set of slides for a workshop introducing dplyr related functionality, piping and related.

mixed-models-growth-curves-simulation

Raw files for a document simulating models for longitudinal data (mixed models and growth curve models).

stars

structured additive regression models talk

JavaScript

easy-bayes

Workshop to introduce participants to rstanarm and brms.

bookdown_template

bookdown starter set

TeX

R-IV-Visualization

Getting started with pretty pictures in R

correlation-measures

Raw files for a summary of various measures of dependency.

TeX

polars-talk-2024

Notebook for a talk introducing polars

Jupyter Notebook

Introduction-to-RStudio

Workshop to help people to use RStudio for more than scripting.

reliability

A brief document describing issues and uncertainty regarding reliability.

heatR

Visualizing correlation matrix structure.

prior-sensitivity

A test of how informative priors can be

distill-workshop

This will introduce R users to the Distill format for R Markdown, for scientific communication and building websites.

LLAP-2019

Library Learning Analytics Project Workshop

lords-paradox

Lord's paradox

fastR

Raw files for a document covering techniques for speeding up R, especially before parallelization.

mixed-models-anova

Raw files for a document introducing mixed models for those familiar with ANOVA.

R-V-Presentation

Reproducibility and R Markdown

mixed-models-growth-curves

Raw files for a document comparing mixed models and growth curve models (sem).

patchmate-2019

A demo/workshop on how to use patchwork and gganimate

rstudio-2019

Helping others get more from RStudio than just scripting.

football

⚽ golazo!

clustered-data

Raw files for a document covering different approaches to dealing with dependent data.

latent-variables-and-sum-scores

Raw files for a document examining the use of latent variable and sum scores for secondary analysis.

Visuals

Random Visualizations

mixed-growth-comparison

A demonstration of the equivalence of growth curves and mixed models

Datasets

Datasets I used at some point.

mixed-models-estimation

Raw files for a document demonstrating some by hand estimation of mixed models.

atpRankingsHistory

a look at the big 4

mcRmd

my templates

CSS

five38clubrankings

Get football club rankings from 538

tornados

r-bootcamp

an afternoon/day course to introduce R programming

m-clark

CSS

SC2-Workshop

Workshop for the Scientific Computing Club

Workshops

config-files

gitignore, css, etc.

mixed-models-overview

Raw files for a document providing an overview of mixed models from varying perspectives.

categorical-regression-models

Raw files for a document that provides an overview of models for the case of a categorical dependent variable.

m-clark/webR

m-clark

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