Southern California R Users Group Presentations

Presentation materials from our monthly meetings

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2024

• 06/20/2024 Daniel Chu, PhD MPH Automating and Simplifying ML Workflows at Scale with {targets}

• 05/23/2024 Kaija Gahm Free-Ranging Griffon Vultures: Movement, Social Network, and {targets}

• 04/18/2024 Quinn Gates Research Computational Data Science at CHOC

• 03/21/2024 Travis Gerke, ScD G-Thangs: Causal Inference with R

• 02/15/2024 Various Posit Conf Presenters What's New in Quarto & Lightning Talks

• 01/18/2024 Beau Walker Intellectual Property Protections for Data Scientists

2023

• 09/26/2023 Emil Hvitfeldt and Javier Orraca-Deatcu Highlights and Learnings from posit::conf(2023)

• 08/15/2023 Sep Dadsetan Version Control, {renv}, and Reproducibility

• 07/18/2023 Chelsea Parlett-Pelleriti Building Shiny for Python apps for Data Science

• 06/27/2023 2023 SoCal RUG Hackathon Winners Presentations

• 05/16/2023 Luke Morris Reducing Emergency Department Overutilization by Broadening Homelessness Services

• 04/18/2023 Gabor Szabo Intro to {sherlock}: an R Package for Problem Diagnosis

• 03/21/2023 Javier Orraca-Deatcu Build a Shiny App Demo as a Cover Letter Accessory

• 02/21/2023 Emil Hvitfeldt The Purrrfect In Person Kickoff

• 01/24/2023 Dave Gruenewald Building R Packages on Easy Mode

2022

• 09/27/2022 Emily Robinson A UseR’s Introduction to Machine Learning in AWS

• 08/23/2022 Vincent Arel-Bundock I fit a model... now what?

• 07/26/2022 Kyle Cuilla {reactablefmtr}: Streamlined Table Styling and Formatting for {reactable}

• 06/28/2022 Emil Hvitfeldt I Did Advent of Code and Here is What I Learned

• 04/27/2022 Steven Paul Sanderson II Intro to the Healthyverse Packages

• 02/22/2022: Julia Silge, Creating features for machine learning from text

2021

• 11/16/2021: Daniel Sjorberg, Reporting Research Study Results with {gtsummary}

• 10/26/2021: Mine Dogucu, Teaching and Learning Bayesian Statistics with {bayesrules}

• 05/18/2021: Max Kuhn, Create Models en mass with Workflow Sets

• 04/27/2021: Emily Riederer, Column Names as Contracts

• 03/24/2021: James Lamb, R in the Command Line

• 03/24/2021: Neal Fultz, R in the Command Line

• 02/23/2021: Hossein Falaki, Unified Data Applications with Shiny on Delta Lakes (Shiny Lakehouse)

2020

• 12/08/2020: Alison Hill, The Download

• 10/27/2020: Will Landau, Reproducible computation at scale in R

• 09/22/2020: Edward Visel, Tools for uncomfortably Big Data

• 08/18/2020: Adam Austin, Dissecting a Function

• 08/18/2020: Karolis Koncevicius, Non-exhaustive list of lesser used base R features

• 02/25/2020: Suresh Datla, Using R in Power BI

• 02/25/2020: Luke Morris, Basketball: Let's Explore March Madness with ncaahoopR

• 01/28/2020: Michael Espero, reticulate: R Interface to Python

2019

• 11/19/2019: Emil Hvitfeldt, Building Packages in an Ecosystem

• 11/19/2019: Alan Dipert, Integrating React.js and Shiny

• 10/29/2019: Malcolm Barrett, The YAML problem: Writing and working with YAML with ymlthis

• 09/24/2019: Ash Pahwa, Convolutional Neural Networks

• 09/24/2019: Luke Klein, Speeding up R with Rcpp

• 08/27/2019: George G. Vega Yon, A Brief Introduction to Using R for High-Performance Computing

• 08/27/2019: Olga Korosteleva, Regression Models for Count Data

• 07/30/2019: Zhi Yang, Topic modeling in cancer patients' mutational profiles

• 07/30/2019: John Peach, Error and Condition Handling in R

• 06/25/2019: Emil Hvitfeldt, Making an R package with use this

• 06/25/2019: UCI Capstone - Pacific Life Pacific Life: Predicting policyholder lapse behavior

• 06/25/2019: UCI Capstone - Amazon Alexa Skill Store Amazon Alexa Skill Store

• 05/28/2019: Captain Rrrr, Factors Affecting Water Level Across CA Counties - OCRUG Hackathon

• 05/28/2019: watR inspectR, watR inspectR - OCRUG Hackathon

• 05/28/2019: Save the woRld, Save the woRld - OCRUG Hackathon

• 05/28/2019: Peyman Mohajerian, Using R in big data (Spark, databases, EMR, Hadoop, H2O.ai)

• 04/29/2019: Ash Pahwa, Deep Learning Using R and TensorFlow (Part 2)

• 04/29/2019: Peter Stemler, REST APIs and Shiny

• 03/26/2019: Ash Pahwa, Deep Learning Using R and TensorFlow (Part 1)

• 03/26/2019: John Peach, It's not that we don't test our code, it's that we don't store our tests

• 02/26/2019: Yemi Odoyemi, Opinion Mining of Climate Change Research

• 02/26/2019: Zhi Yang, How to make slides in R using xaringan

• 01/29/2019: Ryan Benz, Tibbles & List Columns & Nested Data Frames Oh My!

• 01/29/2019: Emil Hvitfeldt, Working with tidymodel

2018

• 11/27/2018: Alan Dipert, Connecting Javascript to Shiny

• 11/27/2018: Alyssa Columbus, Telling Meaningful Stories with Data

• 10/30/2018: Robert Thomas, How Marketing Teams Leverage Web Service API’s to support their Data Science initiatives

• 10/30/2018: Hasan Hboubati, Using R to build large-scale models with Alteryx

• 09/25/2018: Emil Hvitfeldt, Similarity Measure in the Space of Color Palettes

• 08/28/2018: Ryan Benz, RStudio Tune-up

• 08/28/2018: Yemi Odeyemi, Cancer Mutations Scores

• 07/31/2018: Wanyi Huang, UCI Capstone - Pacific Life's Deferred Annuity

• 07/31/2018: Gloria Gong, UCI Capstone - IBM Watson - The True Benefits of HR Contracts

• 05/29/2018: DF3, DataFest - Chapman University

• 05/29/2018: Data Dirtbags, DataFest - CSU Fullerton and Long Beach

• 05/29/2018: Terminal R, DataFest - CSU Fullerton

• 05/29/2018: Seems Logit, DataFest - Seems Logit

• 05/29/2018: Team Epsilon, DataFest - UC Irvine

• 03/20/2018: Bella Feng, Machine Learning with Tree-Based Models in R

• 02/27/2018: Paul Glezen, Classification Trees

• 02/27/2018: J. Alfredo Freites, Exploring Decision Trees with R

• 01/23/2018: John Peach, Categorical and Regression Trees (CART)

• 01/23/2018: Robert Mohr, Using and Improving Decision Trees in R

2017

• 01/26/2017: John Peach, Error and Condition Handling in R

• 01/26/2017: Lawrence Wu, rstudio::conf 2016 Recap

• 02/23/2017: Pasha Safarzadeh, Swirlify

• 02/23/2017: Ryan Benz, An Introduction to Predictive Modeling in R

• 04/27/2017: Guanjun Bella Feng, R Programming in a Regulated Environment

• 04/27/2017: Ash Pahwa, Sports Predictive Analytics

• 06/27/2017: Ryan Benz, RRII: Recent R Items of Interest

• 08/24/2017: Yemi Odeyemi, Basic Introduction To Image Analysis with R

• 08/24/2017: Paul Glezen, R "Warm-up"- Split-Apply-Combine (Lesson 1)

• 09/29/2017: Paul Glezen, R "Warm-up"- Distributions

• 11/30/2017: Bella Feng, Introduction to Machine Learning with R

• 11/30/2017: Peter Stemler, Sales to Date

2016

• 10/27/2016: Bryan Smith, Generating Cash Flow Expectations for Lending Club

• 10/27/2016: Ryan Benz, Virtual Realities

• 12/08/2016: Arun Rangarajan, ggplot2: An Introduction

• 12/08/2016: Michael Tepper, Debt Paydown Calculator In R Using FlexDashboard, dplyr, and plot_ly