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R-Ladies Philly
Приєднався 18 тра 2020
Official channel of R-Ladies Philadelphia
Make it easier to manage your analyses with {targets} with Irena Papst
Do you ever find yourself starting with a simple analysis script only to end up wrangling a thousand line behemoth? Are you sick of wasting time re-running long scripts from start to finish, just to make sure everything is up-to-date? Are you (haphazardly?) saving objects to file because they take a long time to generate? There’s got to be a better way!
Enter {targets}, an R package used to build reproducible, efficient, and scalable pipelines. {targets} can free you from many common analysis management tasks so that you can focus on the analysis itself. In this session, I’ll introduce the {targets} package and share how I’ve used it to streamline my work. I'll also highlight some tips and tricks that I've learned from my experience with the package over the last two years.
Slides: papsti.github.io/talks/2025-01-22_targets.html
Enter {targets}, an R package used to build reproducible, efficient, and scalable pipelines. {targets} can free you from many common analysis management tasks so that you can focus on the analysis itself. In this session, I’ll introduce the {targets} package and share how I’ve used it to streamline my work. I'll also highlight some tips and tricks that I've learned from my experience with the package over the last two years.
Slides: papsti.github.io/talks/2025-01-22_targets.html
Переглядів: 201
Відео
An Introduction to Survival Analysis in R with Emily Zabor
Переглядів 469Місяць тому
This talk will provide a general introduction to survival analysis in R. After introducing the concept of and need for survival analysis methods, we will first discuss how to format a dataset properly to conduct a survival analysis, including working with dates, calculating date differences, and coding events and censoring. Then, we will learn how to perform basic survival analyses in R includi...
Let me GitHub search that for you with Jenny Bryan
Переглядів 3263 місяці тому
There's an amazing amount of R code on GitHub, including the source of all CRAN packages and the source of R itself. As a result, lots of intermediate-to-advanced questions about R programming can be at least partially answered via an appropriate code search on GitHub. I must do this multiple times per day and I am sure that I am not alone. I'll share some tips on how GitHub code search can be ...
Code like a pro using GitHub Copilot with Rebecca Barter
Переглядів 3903 місяці тому
This is a recording of the presentation 'Code like a pro using AI with GitHub Copilot' by Rebecca Barter. The virtual event took place on October 10th, 2024 and was hosted by R-Ladies Philly. Rebecca is a statistician, data scientist, and educator with a passion for teaching data science and uncovering the hidden patterns in healthcare data. She currently does both in her role as a Research Ass...
Introduction to Observable Plot with Tanya Shapiro
Переглядів 1,1 тис.Рік тому
This is a recording of the presentation 'Introduction to Observable Plot' by Tanya Shapiro. The virtual event took place on November 9th, 2023 and was hosted by R-Ladies Philly. In this beginner-friendly presentation, Tanya first gives an overview of what Observable Plot is and why you too might want to use the open-source javascript library. She provides a quick summary of how to use Observabl...
Analyzing Experiments Using Causal Forests with Elea McDonnell Feit
Переглядів 595Рік тому
Recording of a virtual workshop hosted by R-Ladies Philly on 'Analyzing Experiments Using Causal Forests,' led by Elea McDonnell Feit, Associate Professor of Marketing at Drexel University. Check out the Meetup event page for more details: www.meetup.com/rladies-philly/events/292812621/
3 Reasons to Use Tidymodels with Julia Silge
Переглядів 4,3 тис.Рік тому
This is a recording of a virtual seminar on '3 Reasons to use Tidymodels' by Julia Silge! The event took place July 13, 2023 and was hosted by R-Ladies Philly and R-Ladies DC. Thank you, Julia, for the wonderful talk! Talk description: Modeling and machine learning in R involves a bewildering array of heterogeneous packages, and establishing good statistical practice is challenging in any langu...
R-Ladies Lightning Talks 2023
Переглядів 136Рік тому
This is a recording of a live online event co-hosted by R-Ladies Philly and R-Ladies DC on June 28, 2023. Thank you to our wonderful speakers! 00:00 Introduction and Welcome 03:26 ‘Data wrangling in R for SAS users‘ by Priyanka Gagneja This talk is about how to make it easy to translate legacy SAS codes with R. This can be a good starting point for SAS programmers who don't know much R and for ...
TidyTuesday with R-Ladies Philly & Philly RUG
Переглядів 93Рік тому
An interactive event co-hosted and facilitated by R-Ladies Philly and Philly RUG, where attendees live coded and analyzed TidyTuesday datasets.
Day in the Life of *Insert Data Role Here* Career Panel
Переглядів 442 роки тому
A career panel event where our panelists from various data careers discussed their day-to-day jobs, training, and Q&A.
Collages and Patterns: Making art in R
Переглядів 3732 роки тому
Collages and Patterns: Making art in R Have you just started creating generative art in R, or are you interested in starting? Have you tried to start the process but couldn’t wrap your head around how to do it? If so, “Collages and Patterns: Making art in R”, might be of interest! This talk will briefly introduce the concept of creating generative art in R (Rtistry) but then focus on a concept ...
Webscraping, Geocoding & Interactive Map-Making with Center City Sips Data
Переглядів 2602 роки тому
Are you interested in learning how to work with geographic data? How to scrape data from the web? How to plot your geographic data and make it all interactive and interesting? If so, this beginner-friendly workshop is for you. Join us as Silvia Canelón provides a gentle introduction to web-scraping, geocoding and map-making in an end-to-end analysis. You'll learn how to scape the bar and restau...
R-Ladies Lightning Talks - 2022 June
Переглядів 1222 роки тому
Speakers and Talk Titles: 00:06:18 Michelle Chiu: Growing Up in R 00:19:50 June Choe: Do more with dplyr's row-selecting verb slice() 00:38:42 Jessie Pluto: Organizing My Massive R Markdown Report 00:59:06 Kelsey Keith: Designing Copy Number Visualizations
Aging in Place Datathon Conclusion with DataPhilly - March 2022
Переглядів 932 роки тому
The 2022 RLadies Philly & Data Philly datathon aims to connect and enable data science enthusiasts to learn and collaborate while also making a difference in the broader Philadelphia community. This year, we have partnered with ElderNet to explore how different programs for elderly and disabled individuals serve the community. In this datathon conclusion, three teams presented their finding 00:...
Aging in Place Datathon Kickoff from R-Ladies Philly and DataPhilly - February 2022
Переглядів 582 роки тому
This is a recording of a live online event from February 16th, 2022. To learn more about R-Ladies Philly and DataPhilly, please visit www.meetup.com/DataPhilly/ and www.rladiesphilly.org Event details: Do you want to practice your data skills while helping a good cause? Join R-Ladies Philly and DataPhilly for a 6-week datathon focused on exploring data for ElderNet, a local non-profit organizat...
Building R Packages at Work: R-Ladies Philly December 2021
Переглядів 3333 роки тому
Building R Packages at Work: R-Ladies Philly December 2021
Getting Started with Unit Testing in R
Переглядів 2,9 тис.3 роки тому
Getting Started with Unit Testing in R
Bayes Rules! An Introduction to Bayesian Modeling with R with Alicia Johnson
Переглядів 6 тис.3 роки тому
Bayes Rules! An Introduction to Bayesian Modeling with R with Alicia Johnson
Causal Inference in R - R-Ladies September 2021
Переглядів 2,6 тис.3 роки тому
Causal Inference in R - R-Ladies September 2021
"Mapping COVID-19 Vaccination Across the US" with Michelle Chiu
Переглядів 1533 роки тому
"Mapping COVID-19 Vaccination Across the US" with Michelle Chiu
Panel Discussion: What Are Hiring Managers Looking For in Candidates?
Переглядів 1123 роки тому
Panel Discussion: What Are Hiring Managers Looking For in Candidates?
2021 Datathon Conclusion: Exploring Judicial Patterns
Переглядів 1083 роки тому
2021 Datathon Conclusion: Exploring Judicial Patterns
2021 Datathon Kickoff: Exploring Judicial Patterns
Переглядів 713 роки тому
2021 Datathon Kickoff: Exploring Judicial Patterns
From learn-R to teach-R: An expert panel on effective R instruction
Переглядів 1863 роки тому
From learn-R to teach-R: An expert panel on effective R instruction
"Introduction to R dashboard development with Shiny Dashboard" with Anastasia Lucas
Переглядів 17 тис.4 роки тому
"Introduction to R dashboard development with Shiny Dashboard" with Anastasia Lucas
"Data Visualization in R" with Trang Le
Переглядів 6614 роки тому
"Data Visualization in R" with Trang Le
"Your first R package in 1 hour: Tools that make R package development easy" with Shannon Pileggi
Переглядів 6 тис.4 роки тому
"Your first R package in 1 hour: Tools that make R package development easy" with Shannon Pileggi
Therneau first developed survival in SAS then S then R. So this work has been going on for a long time. Therneau also is responsible for implementing interval censoring.
great introduction!
excellent
excellent tutoring.
Really useful presentation, thanks for sharing
This is great job I will be pay more attention with all this hard work R-LADIES
thank you very much , I really loved your video , thank you .
Great explanation, very much appreciated
Very nice presentation. A nice package for time series is fpp3. It is tidyverse friendly.
As a new AI/ML practitioner trying to future-proof my skill set as best I can you provided a good argument for why someone should consider the Tidymodels collection as a foundational part of their AI/ML pipeline. Thank you
much helpful. thanks
Does anybody have the links she added to the chat? I would love to know the R markdown tidymodels blog post that she mentioned around 1:21:10.
Great content
Thank you!
Stopped watching as soon as you mentioned your pronouns.
Wow!!
Great package!
Excellent workshop, can i find the dataset somewhere to practice myself?
Excellent workshop and the accompanying website is great. Thanks for sharing this publicly!
I really enjoyed this workshop!
Great Job, Elea! Excellent presentation of the power of RCTs in marketing using R !
👏
Thanks for the talk. Can you do unit testing in R outside of packages? in other words, is building a package first a must before embarking in unit tests?
You don’t need to make a package to make unit tests with testthat
Very nice contrasting of the two schools of thought
𝘱𝘳𝘰𝘮𝘰𝘴𝘮
Exactly the guide I was looking for! Thanks for this very clear and awesome tutorial 😁
Another great content from *R-Ladies Philly* Thank you, *Trang Le* ! Amazing presentation and plots 🤟
Thank you for the upload.
Althought I already knew most of the contents presented, validate() was new to me and it's a good function to add to my toolset. Thanks for this.
Amazing video! Thank you so much!
Thank you so much! greetings from braziL
You R-Ladies are awesome. Thank you for sharing.
Thank you very much for sharing, this is really useful!
Hi
Very helpful, thank you!
46:20 ```{r exercise 3, eval=FALSE} Code... ``` Console: Warning: Error in : Problem with `filter()` input `..1`. i Input `..1` is `top_n_rank(input$select_topn, occurrences)`. replace eval parameter: ```{r exercise 3, eval=TRUE} Code... ``` Console: No warnings
hello and very good video. Have you ever had a problem with ShinyDashboard and the windows 10 localhost, I run the code but R keeps trying to open the local host but it can't connect.
How long do you run this test?
Thank you for uploading this
It was a productive presentation. Where was the rf_formula on slide 12 created? Thanks R-Ladies.
Happy 3rd Anniversary! Wishing many more great years to come :)
Happy 3rd B-day R-Ladies Philly. The first R-Ladies Philly meetup was on 1/10/2018.
Excellent! thanks for this