README.md

LA R Users Presentations - Virtual

Slides and other materials from presentations at the LA R User Virtual Meetup

2021

Dates	Speakers	Topics	Video	Code
05/18/2021	Max Kuhn	Creating model en mass with workflowsets	Video
04/27/2021	Emily Riederer	Column Names as Contracts	Video
03/24/2021	James Lamb	R from the Command Line	Video	Code
	Neal Fultz	R in the Terminal - Survival Strategies	Video
02/23/2021	Hossein Falaki	Unified Data Applications with Shiny on Delta Lakes	Video

2020

Dates	Speakers	Topics	Video	Code
12/08/2020	Alison Hill	The Download (Recent Updates in the R Markdown Family)	Video
10/27/2020	Will Landau	Reproducible computation at scale in R with targets	Video
09/22/2020	Edward Visel	Bigger but local: Tools for uncomfortably big data	Video	Code Sample
08/18/2020	Adam Austin	Dissecting a Function: Profiling and Benchmarking Your Way to Faster Code	Video
	Karolis Koncevičius	Non-exhaustive list of lesser used base R features	Video
06/30/2020	Julia Silge	Three Reasons to Use tidymodels	Video
05/27/2020	Rich Iannone	Making Tables with the gt Package	Video
	Avik Das	Dynamic programming for machine learning: Hidden Markov Models	Video
04/23/2020	Donna Wrublewski	Creating an R workshop experience during the ACS National Meeting	Video
	Keren Xu	Draw fractals from root finding iteration in R	Video
	Luke Morris	Bracketball: Let's Explore March Madness with ncaahoopR	Video
03/19/2020	Jesse Sadler	vctrs: Creating custom vector classes with the vctrs package	Video
	Emad Hasan	Starter Guide to R Plumber + Slack	Video

 LA East R Users Presentations 

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Slides and other materials from presentations at the LA East R User Meetup

2019

Dates	Speakers	Topics
12/09/2019	Nellie Ponarul	"Web Applications: From HTML/JavaScript/CSS to Shiny"
	Amy Tzu-Yu Chen	"Data Science Reporting: Tips and Tricks for useRs"
10/14/2019	Charlotte Deng	"A gentle Introduction Using R for Deep Learning"
	Jo Hardin	"reticulate: running Python within RStudio"
09/09/2019	Jesse Sadler	"Creating custom vector classes with the vctrs package"
	Sylvia Tran	"Python for R Users"
08/12/2019	Donna Wrublewski	"Teaching ggplot2 with the Periodic Table"
	Malcolm Barrett	"The YAML problem: Writing and working with YAML with ymlthis"
08/12/2019	Seo Young Silvia Kim	"Bayesian Analysis with rstan, rstanarm, and brms"
	Jared Kai Swan	"Super speedy data manipulation with data.table: An overview"
06/10/2019	John Peach	"It’s not that we don’t test our code, it’s that we don’t store our tests"
	George G Vega Yon	What drives social networks?: A gentle introduction to exponential random graph models (with a focus on small networks)
05/13/2019	Eric S. Kawaguchi	"A Fast and Scalable Sparse Regression Method for Competing Risks Data"
	Yujie Cui	"Monitor Patient Enrollment with flexdashboard and shinydashboard Packages"
04/08/2019	Zev Youra	"Data Visualization from Start to Finish"
	Zhi Yang	"Bayesian Modeling with R2jags"
03/18/2019	Daniel Chu	"Functional programming with purrr"
	Alan Dipert	"JavaScript for the R Programmer"
02/11/2019	John Rosenfelder	"Working with data in the music business"
	Zhi Yang	"What I learned at rstudio::conf"
01/14/2019	Anthony Doan	"Time Series & ARIMA forecasting"
	Yemi Odeyemi	"Classification and Statistical Analysis of Cancer Mutations Scores"

2018

Dates	Speakers	Topics
12/10/2018	Robert Mitchell	"Interactive Dashboards with Shiny"
	Emil Hvitfeldt	"Text Analysis in R: Special Christmas Edition"
11/12/2018	Sep Dadsetan	"Introduction to R Markdown"
	George G Vega Yon	"A brief introduction to using R for high-performance computing"
10/08/2018	Paul Marjoram	"Introduction to the Biostatistics Division"
	Malcolm Barrett	"ggplotline: Telling a story with labels, colors, and layout"

LA West R Users Presentations

Slides and other materials from presentations at the LA West R User Meetup

2019

Dates	Speakers	Topics	Video
10/24/2019	Jeanette Lin & Keith Atienza, The Stack	To Stick or To Switch: Student Major Changes at UCLA
	Nikhil Sharma & Raghava Govil, Datares	Analyzing Denzel Curry’s Lyrics Through Text Mining
09/26/2019	Malcolm Barrett	Functional programming with purrr
07/31/2019	Amy Tzu-Yu Chen	useR! 2019 Recap
	Jeremy Guinta & Nellie Ponarul	Better Name Matching via Machine Learning
06/27/2019	Corinne Powers	Using GLRM on h2o to Predict Customer Lifetime Value
	Michael Tzen	Are there any Globe Trotter Body Swappers to Figure out Who's who in NBA Lineups?
05/28/2019	Szilard Pafka	Better than Deep Learning: Gradient Boosting Machines (GBM) – 2019 edition	Video