• Getting better at R: Learning More Packages More Deeply & Hyper-parameter Tuning

    Talk 1: Speaker: Daniel Jacobs (@djacobs7), Senior Director, Data Science Engineering at Age Of Learning. Website: www.dontyouremember.com Title: Getting better at R By Learning More Packages More Deeply Abstract: Learning R means learning dozens of different packages and methods. CRAN has over 10,000 packages, and it's not always clear what's important to learn next. Once you decide what to learn, it's can be difficult to commit the important methods to memory so that you can use them easily over the next weeks or months. This talk walks you through strategies for deciding what to learn, and then committing them to memory with the spaced repetition algorithm. It gives an example of discovering what packages to learn via code analysis. Finally, it describes the development of the remembR package, which lets you study R directly in R. Talk 2: Speaker: Emil Hvitfeldt (@Emil_Hvitfeldt), Research Programmer at USC and Co-organizer of @laeRusers Title: Hyper-parameter Tuning with Tune Package Abstract: Many statistical and machine learning models have parameters that can directly be inferred from the data. The newly released tune package is part of the tidymodels framework and allows you to do hyper-parameter tuning. Code of Conduct: https://github.com/laRusers/codeofconduct Timeline: 6:30: Socializing 7:00-8:00: Talks 8:00: Socializing Address: Room 115/116 USC 2001 N. Soto St. Los Angeles, CA 90032 Parking: Parking is free in the metered spots on the east side of the parking lot after 5 PM Invite yourself to our Slack group: https://socalrug.herokuapp.com/ Ask us any questions by email: [masked] Find our previous talks on GitHub: https://github.com/laRusers/presentations Follow us on Twitter: @la_Rusers Check out more events: https://laocr.org/

  • LA RUG X RLadies January Study Group

    Literati Cafe

    RSVP at https://www.meetup.com/rladies-la/events/267973288/ Amy will be traveling to SF for Rstudio Conference at the end of January, so instead of a regular meetup, she will co-host a study session with R-Ladies Los Angeles at Literati Cafe. Things you can do at this meetup: - Get help with R - Get advice and work on your project - Tell organizers what you'd like to see in 2020 meetups - Meet R-Ladies and -Gentlemen RSVP at https://www.meetup.com/rladies-la/events/267973288/ The next West LA R meetup will be in the second half of February. Stay tuned! Invite yourself to our Slack group: https://socalrug.herokuapp.com/ Ask us any questions by email: [masked] Find our previous talks on GitHub: https://github.com/laRusers/presentations Follow us on Twitter: @la_Rusers Check out more events: https://laocr.org/

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  • LA East R Users: Web applications with Shiny & Tips and Tricks for useRs

    Talk 1: Speaker: Nellie Ponarul, Senior Associate at Ankura Title: Web Applications: From HTML/JavaScript/CSS to Shiny Abstract: How do you build a website from scratch? In this talk I will discuss the fundamentals of building a web application using HTML/JavaScript/CSS, and how those fundamentals are used to build web applications in Shiny using R, using examples I have created in both environments. For anyone who wants to understand website structure or get the most out of their Shiny app, I hope this talk will shed some light! Talk 2: Speaker: Amy Tzu-Yu Chen (@amy17519), Data Scientist at System1 Title: Data Science Reporting: Tips and Tricks for useRs Abstract: We (data practitioners) spend most of time working on data analysis and model development but we often forget that it is as important to advocate and maintain model health, especially in a production environment. Building data science reports ahead of time can help. In this talk, let's talk about how to make useful data science reports for data scientists and business stakeholders. In this talk, we will first walk through what data science reporting means and how it is different from BI and general-purpose dashboards. Next, we explore different options for producing data science reports in a "loud" and clear way for data scientists and other technical and non-technical business stakeholders. Throughout the talk, I will introduce some useful R packages and tricks for building your own reports. Code of Conduct: https://github.com/laRusers/codeofconduct Timeline: 6:30: Socializing 7:00-8:00: Talks 8:00: Socializing Address: Room 115/116 USC 2001 N. Soto St. Los Angeles, CA 90032 Parking: Parking is free in the metered spots on the east side of the parking lot after 5 PM Invite yourself to our Slack group: https://socalrug.herokuapp.com/ Ask us any questions by email: [masked] Find our previous talks on GitHub: https://github.com/laRusers/presentations Follow us on Twitter: @la_Rusers Check out more events: https://laocr.org/

  • SoCal All Hands useR Meeting **Please register on Eventbrite**

    SoCal All Hands useR Meeting PLEASE REGISTER FOR THIS EVENT ON EVENTBRITE SO WE HAVE AN ACCURATE HEADCOUNT: http://bit.ly/socalr2019 NOTE: THIS EVENT IS SOLD OUT, BUT THERE IS A WAITLIST AVAILABLE ON EVENTBRITE At the end of 2019, let’s get together and have an entire day of R fun at Warner Bros in Burbank. 2019 has been a great year for SoCal R users. Several R Users Groups and R-Ladies either started or restarted to serve all communities in Southern California. Let’s take this chance to celebrate and get to know each other. While the LA groups will be hosting, this is a joint event with the LA R Users Group, R-Ladies LA, R-Ladies San Diego, R-Ladies Irvine, Orange County R Users Group, R-Ladies Riverside, R-Ladies Pasadena, R-Ladies Santa Barbara, and Santa Barbara R Users Group. ***Please submit your talk or lightning talk proposals via Google Form (https://forms.gle/n4XW6fEvdfYUo2Ue8)*** We want to make sure that we have talks from as many SoCal R groups as possible! by Nov 15 and we will notify selected speakers by Nov 18. Note that we will prioritize diversity in proposal selection. First-time speakers are welcome! Our Headline speaker will be Julia Stewart-Lowndes of R-Ladies Santa Barbara, who also recently gave a keynote at useR 2019! Title: R for better science in less time Bio: Julia Stewart Lowndes PhD is a marine data scientist, Mozilla Fellow ('19) and Senior Fellow at the National Center for Ecological Analysis and Synthesis (NCEAS) At UC Santa Barbara. As founding director of Openscapes and science program lead of the Ocean Health Index, she works to increase the value and practice of environmental open data science. She is a co-founder of Eco-Data-Science and R-Ladies Santa Barbara, and is a Carpentries instructor. She earned her Ph.D. at Stanford University in 2012 studying drivers and impacts of Humboldt squid in a changing climate. ***Schedule*** 10:00-11:30 Workshop: Perfect your ggplots: annotate, highlight, and combine 11:30-11:45: Break and Welcome 11:45-12:15: Alan Dipert (Orange County R Users Group):"Software Engineering with Shiny" 12:15-1:15: Lunch and words from Lunch Sponsor 1:15-1:45: Qinghua Song (Pasadena): "Artificial Intelligence & Analytical Innovation – Enhance the power of R tools in clinical development" 1:45-2:15: Peter Foley (LA West R Users Group): "Staying clean and DRY - best practices for code reuse and collaboration" 2:15-2:45: 5-min Lightning Talks 2:45-3:00: Break 3:00-3:50 Julia Stewart Lowndes (R-Ladies Santa Barbara): "R for better science in less time" 3:50-4:00 Closing Remarks from organizers ***Sponsor*** We would like to thank Warner Bros. for hosting us as well as sponsoring breakfast. Additionally, we would like to thank the UC Irvine Master of Science in Business Analytics program for sponsoring lunch. ***Parking (VERY IMPORTANT)*** Please note that parking at event venue is closed as it's a weekend, so you will have to park across the way (3400 W Riverside Dr, Burbank, CA[masked]

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  • LA West R Users: October Meeting

    Boelter Hall 5249

    LA West R Users Group will have our October meeting at Boelter Hall 5249 on UCLA campus. **Talk1** (30min talk, 5min Q&A) Title: "To Stick or To Switch: Student Major Changes at UCLA" Presented by: The Stack (https://stack.dailybruin.com), the data-journalism focused section at the Daily Bruin Analysis on the rate at which students switch from one major to another. Through the process of data cleaning, exploratory analysis, and data transformations in R, they drew insightful findings from raw data and created visualizations to represent the trends. With the inclusion of student and staff interviews, their goal was to combine quantitative and qualitative data to write a holistic story that provides perspective for the campus community. ** About Talk1 Speakers * 2 ** Jeanette Lin is a fourth-year Statistics major at UCLA. From classifying the results of different genetic editing tools to analyzing the stock prices of mergers and acquisitions, she has developed a passion for data science. She looks forward to continuing to use data to find efficient solutions, tell inspiring stories, and create impactful changes. Keith Atienza is a fourth-year Applied Math and Statistics major at UCLA. With a passion for quantitative story-telling and predictive modeling, he is an aspiring data scientist and an active member of the math and stats communities on campus. **Talk2** (30min talk, 5min Q&A) Title: Analyzing Denzel Curry’s Lyrics Through Text Mining Presented by: DataRes @ UCLA (https://datares.github.io), founded by data enthusiasts who love solving problems and crafting stories with data. Sentiment analysis on the lyrics of Denzel Curry, a rapper from Florida who has been making some of the most head-banging yet simultaneously nuanced hip-hop out there for a better part of the last decade. Through text mining and data wrangling in R, this project analyses the sentiments behind Denzel’s various albums. Through different visualisations and wordclouds, the article shows the trends in his emotions over time, as well as within the same album. The goal of the project was to understand the concept of Denzel’s music and how he works with and incorporates certain emotions in his music. ** About Talk2 Speakers * 2 ** Nikhil Sharma, a fourth-year Statistics major from Cherry Hill, New Jersey. Interested in practical applications of statistics and machine learning, particularly in sports. Currently President of Bruin Sports Analytics, an on-campus platform for sports research, data journalism, and machine learning applications. Raghava Govil, a 3rd year Statistics and Economics major at UCLA. Has passion for telling stories with data and quantifying own opinions. Currently serve as the Co-Founder and President at DataRes. **Code of Conduct**: https://github.com/laRusers/codeofconduct **Schedule** 7:00-7:10 open door 7:10-7:20 R Users Group Intro 7:20-7:55 talk1 7:55-8:30 talk2 8:30-9:00 socialize **Venue** Boelter Hall 5249 on UCLA Campus. If you are driving, please park at Parking Structure 9. Let parking staff know that you are with UCLA Student Media Training. Show the staff the attached parking permit photo if you have trouble getting in. See https://tinyurl.com/y6b6pgne for detailed directions. ** FREE Ticket to Data Science Salon LA ** We will give away one ticket ($160 worth) to IDEAS Conference (https://www.ideassn.org/socal-2019/) during the meetup. **LA (West) R Users Group** Email: [masked] Invite yourself to our Slack group: http://bit.ly/laerug Follow us on Twitter: @la_Rusers Check out more events: laocr.org/ ******* CALL FOR SPEAKERS ********* Reach out to [masked] or [masked] if you want to be a speaker. First-time speakers are welcome ******* DON'T BE SHY ********* We are working on building a network for all useRs in SoCal. Come be our guest! Come be our speaker!

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  • LA East R Users: Deep learning with R & Run Python in RStudio with reticulate

    Talk 1: Speaker: Huiyu Deng, PhD candidate in Biostatistics, University of Southern California Title: A gentle Introduction Using R for Deep Learning Abstract: Do you know that R can also develop and evaluate deep learning models using Keras, one of the most popular deep learning libraries in Python? In this presentation, I will introduce the steps to set up the platform to run Keras in R and give you an overview of the concepts of neural network (NN) and deep learning models such as convolutional neural network (CNN). In the end, we will analyze a dataset using the Keras package. Talk 2: Speaker: Jo Hardin (@jo_hardin47), Professor, Pomona College Title: reticulate: running Python within RStudio Abstract: A quick google search can quickly bring up many arguments on both sides of the heated Python vs R debate. I don’t take sides in that conversation, but I do recognize the value of knowing both languages and the power of being able to use one language inside software designed for the other. Whatever computational environment is used to execute instructions to the computer, it can be illuminating to see different implementations of the same syntax producing the same results, or alternatively, implementation of different syntax producing the same result. In this talk, I discuss running Python in the RStudio environment. I provided a series of examples in R Markdown chunks (both Python chunks and R chunks). I include details for those working with Python in R for the first time. Code of Conduct: https://github.com/laRusers/codeofconduct Timeline: 6:30: Socializing 7:00-8:00: Talks 8:00: Socializing Address: Room 115/116 USC 2001 N. Soto St. Los Angeles, CA 90032 Parking: Parking is free in the metered spots on the east side of the parking lot after 5 PM Invite yourself to our Slack group: http://bit.ly/laerug Ask us any questions by email: [masked] Find our previous talks on GitHub: https://github.com/laRusers/presentations Follow us on Twitter: @la_Rusers Check out more events: https://laocr.org/

  • LA West R Users: September Meeting

    WeWork Coworking & Office Space

    LA West R Users Group will have our September meeting at WeWork One Culver, 10000 Washington Boulevard Culver City CA 90232. **Talk** Speaker: Malcolm Barrett, Ph.D. student in Epidemiology at USC (@malco_barrett) Title: Functional programming with purrr Description: One of R’s most powerful features is that it’s a functional programming language. purrr is a consistent and efficient toolkit for programming with functions and working with lists. At its heart is `map()` and friends: functions for the common pattern of iterating over a vector or list, doing something to each element, and then storing the results. These functions let you iterate efficiently and with less code. As Jenny Bryan once said, “of course someone needs to write `for` loops; it doesn’t have to be you.” Code of Conduct: https://github.com/laRusers/codeofconduct **Schedule** 6:00-6:45 open door 6:45-7:30 talk starts (45min presentation + Q&A) 7:30-8:00 socialize 8:00 leave venue **Venue** Address: WeWork One Culver, 10000 Washington Boulevard, Culver City, CA 90232 Thanks to our sponsor Sabio Mobile (https://sabiomobile.com), food and drinks will be provided at the event. Come early to eat and hang out! When you arrive: Bring a photo ID and scan it at the guest registration tablets at the front desk for the Meetup event. If your photo ID does not successfully scan, check in at the tablet as a guest of "Meetup Event". Direction: 15 min walk away from Expo Line Palms Station Parking: - Onsite parking entrances on Madison or Duquesne ($9/hr or $25/day) - Culver Medical Plaza for $14/day - Corbett also offers parking - Street parking in the area, please note posted signs **LA (West) R Users Group** Email: [masked] Invite yourself to our Slack group: http://bit.ly/laerug Follow us on Twitter: @la_Rusers Check out more events: laocr.org/ ******* CALL FOR SPEAKERS ********* Reach out to [masked] or [masked] if you want to be a speaker. First-time speakers are welcome ******* DON'T BE SHY ********* We are working on building a network for all useRs in SoCal. Come be our guest! Come be our speaker!

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  • LA East R Users: Creating custom vector classes with vctrs & Python for R Users

    Talk 1: Speaker: Jesse Sadler (@vivalosburros), Loyola Marymount University, Department of History website: jessesadler.com Title: vctrs: Creating custom vector classes with the vctrs package Abstract: The base R types of vectors enable the representation of an amazingly wide array of data types. There is so much you can do with R. However, there may be times when your data does not fit into one of the base types and/or you want to add metadata to vectors. vctrs is a developer-focused package that provides a clear path for creating your own S3-vector class, while ensuring that the class integrates into user expectations for how vectors work in R. This talk will discuss the why and how of using vctrs through the example of debkeepr, a package for integrating historical non-decimal currencies such as pounds, shillings, and pence into R. Talk 2: Speaker: Sylvia Tran (www.linkedin.com/in/sylvia-s-tran/) Title: Python for R Users Abstract: The switch from Python to R or R to Python doesn’t always feel natural. In this talk, Sylvia will help draw some parallels and leave you with a high-level cheat sheet for how to do the following using pandas and scikit, learn without having to get into the low-level weeds of Python object types. a) light data cleaning / standardizing features b) train-test-split c) pipe your data into a model d) evaluate model performance Code of Conduct: https://github.com/laRusers/codeofconduct Timeline: 6:30: Socializing 7:00-8:00: Talks 8:00: Socializing Address: Room 115/116 USC 2001 N. Soto St. Los Angeles, CA 90032 Invite yourself to our Slack group: http://bit.ly/laerug Ask us any questions by email: [masked] Find our previous talks on GitHub: https://github.com/laeRusers/presentations Follow us on Twitter: @laeRusers Check out more events: https://laocr.org/

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  • LA East R Users: Teaching ggplot2 with the Periodic Table & Working with YAML

    Talk 1: Speaker: Donna Wrublewski, CCE & BBE Librarian at Caltech (@CaltechChemLib) Title: Teaching ggplot2 with the Periodic Table Abstract: This talk will walk the audience through an R Markdown notebook designed to give students familiar with R an introduction to making plots with ggplot2. The notebook uses the PeriodicTable package, and takes learners through making a few kinds of plots using the data in the package. Background on the lesson development and the Carpentry program at Caltech (based on https://carpentries.org/) will also be briefly discussed. Talk 2: Speaker: Malcolm Barrett, Ph.D. student in Epidemiology at USC (@malco_barrett) Title: The YAML problem: Writing and working with YAML with ymlthis Abstract: R Markdown is an easy-to-learn tool for reproducible research. Many people, however, bump into problems using YAML, the language that specifies metadata for R Markdown documents. ymlthis makes it easy to write valid YAML by handling the syntax and documenting the majority of YAML fields in one place. ymlthis will help you write metadata for R Markdown, bookdown, blogdown, and more. Let the Shiny add-in create a new R Markdown file for you or work with YAML and R Markdown files directly. ymlthis finally gives you a workflow that is better than trying to find and paste the YAML from the last R Markdown document you used. Code of Conduct: https://github.com/laRusers/codeofconduct Timeline: 6:30: Socializing 7:00-8:00: Talks 8:00: Socializing Address: Room 115/116 USC 2001 N. Soto St. Los Angeles, CA 90032 Invite yourself to our Slack group: http://bit.ly/laerug Ask us any questions by email: [masked] Find our previous talks on GitHub: https://github.com/laeRusers/presentations Follow us on Twitter: @laeRusers Check out more events: https://laocr.org/

  • LA West R Users: July Meeting

    WeWork Coworking & Office Space

    LA West R Users Group will have our July meeting at WeWork 5792 W Jefferson Blvd in Culver City. We'll have two talks followed by 30min of mingling time. NOTE: this event starts earlier than usual. The first talk starts at 6:45 pm. **Talk1** (20min talk, 10min Q&A) Title: useR 2019 Recap Amy will share her experience at useR 2019 in Toulouse, France (http://www.user2019.fr). She will focus on only the talks she attended. **About Talk1 Speaker** Amy Tzu-Yu Chen Organizer, LA R Users Group Follow her relatively quiet Twitter: https://twitter.com/amy17519 **Talk2** Title: Better Name Matching via Machine Learning Description: Have you ever come across typos, misspellings, nicknames, and other oddities in personnel data files? Have you ever tried to compare names to determine if names were the same or different from each other? Have you ever thought that maybe, just maybe there was a better way? This talk focuses on how a supervised Machine Learning process that uses various string distance algorithms as features can predict whether or not a name matches or does not match better than traditional methods. **About Talk2 Speaker * 2 ** 1) Jeremy Guinta, Data Scientist; Litigation Consultant; Statistical Expert; Machine Learning; Lecturer Jeremy has nearly 20 years’ experience in litigation consulting and complex data analysis. He specializes in performing complex data analysis, including complex statistical procedures to develop trends and predictive analysis. He also retains an expertise in machine learning and has developed machine learning processing to improve name matching and categorical descriptions of textual data. Over the course of his nearly 20-year career, Jeremy has developed and delivered training courses on Statistics, Data Management and Analysis, R programming, SQL programming, and Data Visualization. Jeremy has authored articles on data privacy, data management, statistical analysis, and general areas of law when law, statistics, and data analysis intersect. Jeremy also teaches a college level course in beginning and intermediate statistics. LinkedIn: https://www.linkedin.com/in/jeremyguinta/ Github: https://github.com/jjghockey 2) Nellie Ponarul, Associate at Ankura Consulting Nellie is a recent UCLA grad working in litigation consulting. She specializes in large scale data analysis primarily in R and SQL. She has experience working on large class action matters and small commercial disputes. She’s always looking to pick up new tricks in R and is looking forward to meeting everyone in the LA R Users Group! **Timeline** – 6:00pm open door (There will be pizzas and coke) – 6:40pm intro from LA West R User Group – 6:45pm Talk1 – 7:15pm Talk2 – 7:45pm mingle time – 8:00pm event ends Code of Conduct: https://github.com/laRusers/codeofconduct **Venue** Address: WeWork, 5792 Jefferson Los Angeles CA 90016 When you arrive: Bring a photo ID and scan it at the guest registration tablets at the front desk for the Meetup event. If your photo ID does not successfully scan, check in at the tablet as a guest of "Meetup Event". Direction: Expo Line LaCienega/Jefferson stop Parking: Jefferson Lot (behind building); Day Rate: $2/20 min $6/hour for first 2 hours $18/day **LA (West) R Users Group** Email: [masked] Invite yourself to our Slack group: http://bit.ly/laerug Follow us on Twitter: @la_Rusers Check out more events: laocr.org/ We are working on building a network for all useRs in SoCal. Come be our guest! Come be our speaker!