R is a language for statistical computing as well as a general purpose programming language. Increasingly, it has become one of the primary languages used in data science and for data analysis across many of the natural sciences. This series of workshops will provide attendees with the foundations for continued learning of R and for analysis of a range of data types.
All trainings will be in the medium conference room. Prep material will also be circulated prior to each session. Topics are tentative and may change.
Early training dates:
R luncheons:
R luncheons are a more informal approach to teaching you about R. The intent is to encourage retention and continued learning from the previous lessons. These will be short sessions (~ 1 hr) where we focus on one specific problem, e.g., creating a summary plot of data starting with a spreadsheet, formatting a dataset for an analysis, etc. Lunch will follow each session.
Please bring a laptop with the latest version of RStudio and R installed. The setup instructions will guide you through the process. Take note of the required R packages that you must also download and install.
All source materials for this website can be accessed at https://github.com/SCCWRP/SCCWRP_R_training
Content in these lessons was borrowed, modified, and/or adapted from Marc Weber (USEPA), Ryan Hill (USEPA), Jeffrey Hollister (USEPA), the USGS-R training curriculum here, the NCEAS Open Science for Synthesis workshop here, and the wonderful text R for data science.
Feel free to stop by, email, or call with any questions (marcusb@sccwrp.org, 7147553217)