R and R Studio for Reproducible Science Training

This hands-on training opportunity will consist of three modules: (1) Introduction to R and R Studio; (2) Introduction to R Data Types; and (3) Data Wrangling with R. A class outline, learning objectives, and a link to download the data to be used during the training will be provided to registrants ahead of time. All participants must come to the workshop with a laptop with the most current versions of R and R Studio already installed. No class time will be spent downloading the program or providing installation assistance.

Please follow the instructions available on the edX platform to download both R and R Studio. You do not need to install the third item (SDSFoundations Package) for this training.

R and R Studio Training Instructors

Doug Joubert joined the National Institutes of Health (NIH) Library in 2004. He is customer-oriented practitioner with extensive experience in providing comprehensive research and information services support to researchers working in the areas of public health and health care policy. In this role, Doug provides his clients with services that support of the missions of the NIH and select HHS staff divisions. As part of his duties at the NIH Library, he identifies and provides guidance on the effective use of emerging technologies and recommends strategies to capitalize on them. Practice areas include GIS, teaching, and technology.

Chris Belter is a bibliometrics informationist at the NIH Library, where he specializes in publication and portfolio analysis. At the NIH Library, Chris provides expertise in bibliometrics and other methods of quantitative assessment to support NIH institutes, centers, and programs in conducting portfolio analysis. He advises on bibliometric methodology and the role of bibliometrics in portfolio analysis, provides training on bibliometric tools and techniques, and analyzes publications produced by NIH’s intramural and extramural research programs.

This page last reviewed on February 5, 2018