Last week, Professor Ben Goodrich stopped by R Open Labs to show us how to use the mi package, which he worked on with Professor Andrew Gelman. As the name ‘mi’ suggests, this package does multiple imputations to help you predict missing values in your data sets. Check out the demo if you’d like to […]
Month: March 2016
R Open Labs: QQPlot
Post by Ellie Ransom, Research Services Coordinator, Science and Engineering Libraries At last week’s R Open Lab, we visualized our data to test our assumptions of normality using two of of R’s native commands, qqnorm and qqline. We practiced using the built in dataset, trees, and looked at the variables Height and Volume separately. Notice how the Height […]