What we're about

Mission: R-Ladies is a worldwide organization whose mission is to promote gender diversity in the R community

R-Ladies Philly is a group for people in Philadelphia interested in the R programming language to get together and learn about R! As a diversity initiative, the mission of R-Ladies is to achieve proportionate representation by encouraging, inspiring, and empowering people of genders currently underrepresented in the R community. R-Ladies’ primary focus, therefore, is on supporting minority gender R enthusiasts to achieve their programming potential, by building a collaborative global network of R leaders, mentors, learners, and developers to facilitate individual and collective progress worldwide.

How can you get involved? Join our meetup, but then also join our slack workspace at: rladies-philly.slack.com, follow us on twitter @RLadiesPhilly, and check out our website at rladiesphilly.org.

Contact us at philly@rladies.org if you want to learn more about supporting our group.

Upcoming events (5)

Hands-on Machine Learning Workshop

Online event

Researchers utilize high-dimensional biological data for questions ranging from identifying groups of interest to extracting biologically meaningful representations. This hands-on unsupervised machine learning workshop will introduce concepts such as cluster validation and stability, dimensionality reduction, and representation learning for transcriptomics. About our speaker: Jaclyn Taroni is a Principal Data Scientist at the Childhood Cancer Data Lab, an initiative of Alex's Lemonade Stand Foundation. She was a Postdoctoral Researcher in the Greene Lab at the University of Pennsylvania Perelman School of Medicine, where she worked on cross-platform normalization of gene expression data and unsupervised transfer learning for rare diseases. She conducted her thesis work in the Whitfield Lab at the Geisel School of Medicine at Dartmouth studying the rare autoimmune disease systemic sclerosis, where she developed novel frameworks for analyzing high-throughput molecular data from multiple tissues, clinical manifestations, and drug trials. (http://www.jaclyn-taroni.com/)

Decision Trees & Random Forests

Online event

DESCRIPTION: Decision trees are easy to understand and form the basis for random forest, a powerful machine learning technique. We will build decision tree and random forest models to discover trends using the Philadelphia Police Department’s Complaints Against Police dataset. Please note that we are using the dataset to illustrate statistical and programming techniques and do not have the background in criminal justice to draw any conclusions from our models. SPEAKER: Alexandra Parfitt is a graduate student in applied statistics at Villanova University. She is completing a co-op at GlaxoSmithKline in chemical, manufacturing and controls statistics in the biopharmaceutical division. She entered data science and statistics after working in the humanities and she holds an AB from the University of Chicago and a PhD from Yale in comparative literature. She lives in Ardmore with her husband and their four-year-old daughter.

R-Ladies Philly Workshop/Talk (Topic TBD)

Azavea

Details to follow!

Your first R package in 1 hour: Tools that make R package development easy

Introduction This workshop is for people looking to learn how to make their own R packages and learn how to use “usethis” and “devtools” for package development. The workshop will cover handy one time functions (i.e., use_this::create_package) as well as functions used continuously throughout package development (i.e., devtools::document). At the end of the hour you should have a working, well-documented package with a single function, as well as a better understanding of the files and file structure required for R packages. This workshop is suitable for beginner to intermediate R users. Attendees should be familiar with functions, but will not be writing their own function in this workshop. Familiarity with pipe or tidyverse is helpful. Speaker Shannon Pileggi is an enthusiastic statistical collaborator and professional educator with over ten years of experience partnering on data analysis with diverse stakeholders in corporate settings, tech, public health, and clinical research. Shannon’s previous work experiences include supporting research on parasitic diseases at the CDC, developing a pilot college-wide intro stats course at the Institute for Quantitative Theory and Methods at Emory University, and instructing R/SAS programming, intro stats, and survival analysis courses at California Polytechnic State University, San Luis Obispo. Shannon is currently a Statistician at Adelphi Research in Doylestown, PA working in pharmaceutical market research. Shannon’s day-to-day in R include: fine-tuning ggplots to convey analysis results, contributing to an internal package to automate routine analyses/tasks, streamlining work-flows for repetitive analyses, and developing shiny apps.

Past events (49)

How to Test & Roll

Online event

Photos (82)