Tag Archives: R

2020 RStudio Conference Livestream Coming to Duke Libraries

RStudio 2020 Conference LogoInterested in attending the 2020 RStudio Conference, but unable to travel to San Francisco? With the generous support of RStudio and the Department of Statistical Science, Duke Libraries will host a livestream of the annual RStudio conference starting on Wednesday, January 29th at 11AM. See the latest in machine learning, data science, data visualization, and R. Registration links and information about sessions follow. Registration is required for the first session and keynote presentations.  Please see the links in the agenda that follows.

Wednesday, January 29th

Location: Rubenstein Library 249 – Carpenter Conference Room

11:00 – 12:00 RStudio Welcome – Special Live Opening Interactive Event for Watch Party Groups
12:00 – 1:00 Welcome for Hadley Wickham and Opening Keynote – Open Source Software for Data Science (JJ Allaire)
1:00 – 2:00 Data, visualization, and designing with AI (Fernanda Viegas and Martin Wattenberg, Google)
2:30 – 4:00 Education Track (registration is not required)
Meet you where you R – Lauren Chadwick, R Studio.
Data Science Education in 2022 (Karl Howe and Greg Wilson, R Studio)
Data science education as an economic and public health intervention in East Baltimore (Jeff Leek, Johns Hopkins)
Of Teacups, Giraffes, & R Markdown (Desiree Deleon, Emory)

Location: Edge Workshop Room – Bostock 127

5:15 – 6:45 All About Shiny  (registration is not required)
Production-grade Shiny Apps with golem (Colin Fay, ThinkR)
Making the Shiny Contest (Duke’s own Mine Cetinkaya-Rundel)
Styling Shiny Apps with Sass and Bootstrap 4(Joe Cheng, RStudio)
Reproducible Shiny Apps with shinymeta (Carson Stewart, RStudio)
7:00 – 8:30 Learning and Using R (registration is not required)
Learning and using R: Flipbooks (Evangeline Reynolds, U Denver)
Learning R with Humorous Side Projects (Ryan Timpe, Lego Group)
Toward a grammar of psychological Experiments (Danielle, Navaro, University of New South Wales)
R for Graphical Clinical Trial Reporting(Frank Harrell, Vanderbilt)

Thursday, January 30th

Location: Edge Workshop Room – Bostock 127

12:00 – 1:00 Keynote: Object of type closure is not subsettable (Jenny Bryan, RStudio)
1:23 – 3:00 Data Visualization Track (registration is not required)
The Glamour of Graphics (William Chase, University of Pennsylvania)
3D ggplots with rayshader (Dr. Tyler Morgan-Wall, Institute for Defense Analyses)
Designing Effective Visualizations (Miriah Meyer, University of Utah)
Tidyverse 2019-2020 (Hadley Wickham, RStudio)
3:00 – 4:00 Livestream of Rstudio Conference Sessions (registration is not required)
4:00 – 5:30 Data Visualization Track 2 (registration is not required)
Spruce up your ggplot2 visualizations with formatted text (Claus Wilke, UT Austin)
The little package that could: taking visualizations to the next level with the scales package (Dana Seidel, Plenty Unlimited)
Extending your ability to extend ggplot2 (Thomas Lin Pedersen, RStudio)
5:45 – 6:30 Career Advice for Data Scientists Panel Discussion (registration is not required)
7:00 – 8:00 Keynote: NSSD Episode 100 (Hillary Parker, Stitchfix and Roger Peng, JHU)

Announcing Tidyverse workshops for Winter 2018

Coming this winter the Data & Visualization Services Department will once again host a workshop series on the R programming language. Our spring offering is modeled on our well received R we having fun yet‽ (Rfun) fall workshop series. The four-part series will introduce R as a language for modern data manipulation by highlighting a set of tidyverse packages that enable functional data science. We will approach R using the free RStudio IDE, an intent to make reproducible literate code, and a bias towards the tidyverse. We believe this open tool-set provides a context that enables and reinforces reproducible workflows, analysis, and reporting.

This six-part series will introduce R as a language for modern data manipulation by highlighting a set of tidyverse packages that enable functional data science.

January Line-up

Title Date Registration Past Workshop
Intro to R Jan 19
1 – 3pm
register Resources
R Markdown
with Dr. Çetinkaya-Rundel
Jan 23
9am
register
Shiny
with Dr. Çetinkaya-Rundel
Jan 25
9am
register
Mapping with R Jan 25
1-3pm
register Resources
Reproducibility & Git Jan 29
1-3pm
register Resources
Visualizationg with ggplot2 Feb 1
9:30-11:30am
register Resources

An official announcement with links to registration is forthcoming. Feel free to subscribe to the Rfun or DVS-Announce lists. Or look to the DVS Workshop page for official registration links as soon as they are available.

Workshop Arrangement

This workshop series is intended to be iterative and recursive. We recommend starting with the Introduction to R. Proceed through the remaining three workshops in any order of interest.

Recordings and Past Workshops

We presented a similar version of this workshop series last fall and recorded each session whenever possible. You can stream past workshops and engage with the shareable data sets at your-own-pace (see the Past Workshop resources links, above.) Alternatively, all the past workshop resource links are presented in one listicle: Rfun recap.

Fall 2016 DVS Workshop Series

GenericWorkshops-01Data and Visualization Services is happy to announce its Fall 2016 Workshop Series. Learn new ways of enhancing your research with a wide range of data driven research methods, data tools, and data sources.

Can’t attend a session?  We record and share most of our workshops online.  We are also happy to consult on any of the topics above in person.  We look forward to seeing you in the workshops, in the library, or online!

Data Sources
 
Data Cleaning and Analysis
 
Data Analysis
Introduction to Stata (Two sessions: Sep 21, Oct 18)
 
Mapping and GIS
Introduction to ArcGIS (Two sessions: Sep 14, Oct 13)
ArcGIS Online (Oct 17)
 
Data Visualization

Visualizing Qualitative Data (Oct 19)
Visualizing Basic Survey Data in Tableau – Likert Scales (Nov 10)