This is not a course in statistics, but rather in using R to solve more advanced problems that go beyond simple statistical analyses. For example, how do I deal with date and time data? Suppose you have 5 years of data and with the same analysis to be done for each year’s data. What is the best way to structure this in R? How do I write a function to do a yearly analysis that is beyond what is commonly available in R? How do I restructure my data so do a similar analysis on 10 separate variables? How do I plot my spatial data on a map? How do I manipulate shape-files? How do I make an interactive graphic (visualization)?
Many users of R quickly outgrow simply uses of R and need to deal with more complicated data manipulation and analyses.
Prerequisites: Basic knowledge of R/Rstudio
This course will run on a schedule that will allow students to take up local winter recreation opportunities in the morning and/or by staying in Revelstoke for the weekend following the course. We have even made arrangements with Revelstoke Mountain Resort who have generously provided our students access to discounted lift tickets that can be used in the morning on course days!
Dr. Carl Schwarz, Department of Statistics and Actuarial Science, Simon Fraser University (though soon set to retire!). Carl has taught many courses with CMI, and is back by popular request! Carl was recently inducted as an American Statistical Association Fellow, and was honored for his contributions in research, teaching, and service. He is a leader in using statistics for ecological problems, especially the development of estimating abundance and other demographic parameters through the use of capture-recapture methods.