Discussion resources This note includes information discussed during Tuesday morning R sessions at the University of Arizona. More information about the R sessions can be found at https://jcoliver.github.io/learn-r/schedule. Posts are shown in reverse chronological order. If you have questions or comments, e-mail Jeff Oliver at jcoliver@arizona.edu. 2021-08-18 I have to impute data, but need to analyze mean-centered variables and I want to see model performance on each imputed data set. Can I do this with mice? Indeed. The mice package is the go-to resource when imputing data is necessary. We can break the prompt into three questions, where we address each in term: How can I see model fit for each imputed data set? How can I test for multicollinearity on each imputed data set? How can I do analyses on data that require

# DS^2^F Day one ## 2019-01-17 Enter your name below: ### Megan Senseney #### Goal: build sustainable fellowship program for expanding digital scholarship and data science across UA. + Collaborative resource sharing + OSF + Colleagues and collaborators + $$$ Jen Nichols-goal: support fellows in offering workshops that are helpful to others in the campus community. + listen and document + outreach and marketing Sam Scovill-goal: To identify themes around non-profit work and political