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R User Group at Harvard Data Science Initiative
Добавлен 15 июн 2021
The R User Group at the Harvard Data Science Initiative connects users of the statistical programming language R in the greater Harvard community. Our channel will provide educational workshops, lectures, membership meeting recordings, and R programming help.
Lightning Talks! with Harvard Kennedy School Library's Data + Donuts @hkslibrary5406
Enjoy lightning talks from our speakers on a variety of econometrics, geography, government related topics presented at the Harvard Kennedy School Data + Donuts series. The talks presented were:
- Joseph Hnath, PhD candidate in Health Policy & Economics at Harvard, presented on a difference-in-difference analysis of the effect of default enrollment of persons eligible for Medicare and Medicaid. (04:33)
- Camden Blatchly, Software Developer at the Center on Rural Innovation, presented on a new R package from the Center on Rural Innovation that simplifies access to Federal Communication Commission (FCC) broadband data, making it easier to map and analyze connectivity nationwide. (13:15)
...
- Joseph Hnath, PhD candidate in Health Policy & Economics at Harvard, presented on a difference-in-difference analysis of the effect of default enrollment of persons eligible for Medicare and Medicaid. (04:33)
- Camden Blatchly, Software Developer at the Center on Rural Innovation, presented on a new R package from the Center on Rural Innovation that simplifies access to Federal Communication Commission (FCC) broadband data, making it easier to map and analyze connectivity nationwide. (13:15)
...
Просмотров: 111
Видео
Lightning Talks!
Просмотров 1598 месяцев назад
In our lightning talks, we learned about: 1- The Center for Computational Biomedicine's NHANES Stan Docker Image from Andrew Ghazi 2- How to Save Hours of Time with Parametrized Quarto Reports from Sam Kuhn 3- Regex for Efficient R Programming from Sarah Hirsch 4- Using ggplot2 and tidycensus to create choropleth maps from Robert Sucsy #rstats #datascience #academia TIMESTAMPS 04:40 The Center ...
Tools and Teams for Reproducible Science with Noam Ross
Просмотров 280Год назад
R is great for scientific reproducibility, but as work scales from individual to teams, organizations, and collaborations across teams, time, and space, R scripts and git repositories are no longer sufficient to capture project complexity. Reproducibility has to work for field, lab, analytical, and policy groups, and address challenges such as high-performance computing, large data, data privac...
What's New in Tidymodels with Emill Hvitfeldt
Просмотров 1,5 тыс.Год назад
The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles. This talk will touch on a number of new additions and in-process work being done by the team. Emil Hvitfeldt is a software engineer at Posit and part of the tidymodels team’s effort to improve R’s modeling capabilities. He maintains several packages within the realms of modeling, t...
Intro to Functional Programming with R
Просмотров 2,2 тыс.Год назад
Functional programming a powerful programming technique that allows programmers to pass functions as arguments and write code that applies functions repeatedly on the programmer's behalf. This means we can do some quite nifty things like succinctly applying one function to a whole list of objects, creating lists of functions, or passing functions as variables to other functions. Functional prog...
HTML and CSS for R Users with Albert Rapp
Просмотров 1,1 тыс.Год назад
It's easy to think that R users do not need HTML & CSS. But these web languages are everywhere, even in R. Knowing just a bit of HTML & CSS can unlock the full potential of popular R tools like {gt}, {ggtext}, {shiny}, and Quarto. This talk is split into two parts. First, I will motivate learning HTML & CSS for R users through various examples. Second, I will show you the necessary basics to ge...
Thematic Maps with R with Timothée Giraud
Просмотров 505Год назад
The R software has a rich, dynamic and mature spatial ecosystem. Several R packages allow to leverage the power of major FOSS libraries (like GDAL, GEOS or PROJ) for spatial data management and {mapsf} takes advantage of this ecosystem to create thematic maps. It helps designing various cartographic representations and offers several functions to display layout elements improving the graphic pr...
Towards the Next Generation of Shiny UI with Carson Sievert
Просмотров 660Год назад
Slides: bit.ly/bslib-dashboard-slides Check out our website rug-at-hdsi.org/ for our upcoming events! Follow us on Twitter and on Masstodon: RUGatHDSI fosstodon.org/@RUGatHDSI Talk Description: Shiny, the R package for creating interactive web graphics, recently celebrated its 10th birthday. Since then, Shiny has grown tremendously in many areas (e.g., performance, functionality, ex...
Creating Publication-Ready Summary Tables with {gtsummary}
Просмотров 4,9 тыс.2 года назад
This talk will introduce the {gtsummary} R package, and will review details of some of the functionality it provides for creating publication quality analytical and summary tables. The talk will cover basic descriptive statistic tables as well as tables of regression results, and will highlight some of the features for combining multiple tables and including results from tables with inline text...
Using RStan with Fayette Klaassen
Просмотров 1,8 тыс.2 года назад
This talk provides an introduction to what Bayesian statistics and RStan are and how you can get started using them. Fayette Klaassen will introduce how to write a Stan program and describe the workflow using Stan as well as go over some example Stan models. Finally, we'll go over some common troubleshooting tips and examples in practice. Fayette Klaassen is a Postdoctoral Researcher in the Dep...
Level Up Your Plots with Cara Thompson
Просмотров 1,8 тыс.2 года назад
Polished annotations can make all the difference between a good plot that contains all the necessary information, and a great plot that engages readers with a clear story. This talk will build on the Introduction to ggplot session, exploring how we can make good use of design tips (and the coding tricks behind!) to help readers understand the key messages that our datavisualisations seek to con...
Intro to Git and GitHub with R and RStudio
Просмотров 1,3 тыс.2 года назад
Join us to learn about how to use the Git software to version control your code and much more. Version control software, like Git, is like track changes for your code, but even more powerful! Git enables you not just to track the iterations of your codebase, but to easily collaborate with others (without emailing zip files back and forth!), to go back in time to check how your code used to look...
Creating Interactive Tutorials with {learnr} and {gradethis}
Просмотров 9082 года назад
The {learnr} package makes it easy to turn any Rmarkdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding. Tutorials automatically preserve work done within them, so if a user works on a few exercises or questions and returns to the tutorial later they can pick up right where they left off. Learn mor...
Creating Features for Machine Learning from Text - Julia Silge, March 2022
Просмотров 3012 года назад
Julia Silge is a software engineer at RStudio PBC where she works on open source modeling tools. She holds a PhD in astrophysics and has worked as a data scientist in tech and the nonprofit sector, as well as a technical advisory committee member for the US Bureau of Labor Statistics. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and...
R You My Valentine? Tips and Tricks that make us love R!
Просмотров 1632 года назад
In this meeting we had an open discussion of tips and tricks that make us love R ranging from debugging, data visualization, speeding up your code, and much more! Chat transcript here: github.com/RUG-at-HDSI/meeting_materials/blob/main/2022_02_17/2022_02_17_chat.txt Christian shared an R script towards the end with 9 tips and tricks that he loves: github.com/RUG-at-HDSI/meeting_materials/blob/m...
R User Group Organizer Interest Meeting - January 21 2022
Просмотров 533 года назад
R User Group Organizer Interest Meeting - January 21 2022
Cooking Your Data with Recipes in R with Max Kuhn
Просмотров 8 тыс.3 года назад
Cooking Your Data with Recipes in R with Max Kuhn
Introduction to tidyverse with dplyr and USAFacts COVID-19 Data
Просмотров 3653 года назад
Introduction to tidyverse with dplyr and USAFacts COVID-19 Data
Plumber: Asynchronous Route Execution with Barret Schloerke - Thursday, August 12th 2021
Просмотров 1173 года назад
Plumber: Asynchronous Route Execution with Barret Schloerke - Thursday, August 12th 2021
R User Group - Lecture on Plumber, Creating APIs in R with Barret Schloerke
Просмотров 5943 года назад
R User Group - Lecture on Plumber, Creating APIs in R with Barret Schloerke
First R User Group Meeting - June 10th 2021
Просмотров 953 года назад
First R User Group Meeting - June 10th 2021
You're doing a fantastic job! Just a quick off-topic question: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How should I go about transferring them to Binance?
Is it possible to download this presentation?
I'm glad I found this, thank you one and all for this.
This is amazing, I like the project and have already started adopting it into my workflow. I do however feel that giving users the option to choose whether they want to use the sidebar menu would definitely encourage more adoption which means you have more users testing and better development ideas.
its like 2nd guy took all charisma from the 1st guy, but actually 1st's tool has so much more potential for further research (with all due respect to quarto's automation...). thanks for posting , would be great to include the links to github pages that they presented as well.
Amazing!
Excellent presentation! I didn't know Prrr. I'm going to use it more now.
There is always something new to learn from that Tidyverse God, Max Kuhn!
What is the name of notebook which is used in this tutorial?
Could not find the specific dataset in Kaggle. please provide a link (preferably one that we can paste as a link to download the CSV in r). also, use of Surv requires survival:: (installed with tidymodels but needs to be specifically called - kinda like scales::)
Hi! Christian here - I think you can find the data here: www.kaggle.com/datasets/rounakbanik/the-movies-dataset?select=keywords.csv You can also find Emil's data cleaning/prep code here: github.com/EmilHvitfeldt/talk-harvard-tidymodels/blob/main/R/data-prep.R
excellent
This is good!
please guys make videos on financial modeling in R specialization.
Thanks for tuning into our videos! Are there any particular methods you are looking for?
@@rusergroupatharvarddatasci7232 No I am not. Actually I know how to do basic data analysis in Excel and R. But I am more interested in financial data analysis than other areas. Doing financial analysis in R will give me the reproducible version. So if you may, I am requesting a overall playlist for R specialization from financial perspective. 🙂🙂
Amazing presentation!
Is it possible to share the slides?
Hi @chenjxing, the slides are available here: github.com/RUG-at-HDSI/meeting_materials/blob/main/2022_10_27/RStan/rstan-slides.pdf
thanks for very useful seminar!
Thank you, the video is very interesting
Thnk you for this presentation... my first full simple explanation on Bayesian modelling with Stan.
😍😍😍
That the main issue of R, you can easily deploy, but a what cost, it’s not affordable…
Great intro to recipes. Best I've seen on RUclips.
ruclips.net/video/dbXDkEEuvCU/видео.html this is also good. Julia Silge (also one of the authors of tidymodels book and package)
Is it just me... but I do love R!
This was so great thanks again!
Glad it was useful :-)
Thanks
Julia Silge is my hero!
I do love this group!
Thanks Todd!