OVERVIEW This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created […]
In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning commonly used tools and programming patterns. The “Analyzing RECS using data.table” workshop will focus on analyzing winter home temperatures in the US using data from the Residential Energy Consumption Survey (https://www.eia.gov/consumption/residential/). We’ll use the data.table package for data manipulations […]
This workshop will cover fitting generalized linear models (GLMs) in Python, using the Statsmodels package. We will cover logistic regression, but the Poisson, negative binomial, and gamma regression. We will provide an overview of the underlying foundation for GLMs, focusing on the mean/variance relationship and the link function. Participants should have familiarity with linear regression […]
This workshop will introduce you to Matlab. We will look at general coding syntax, matrix operations, writing functions, symbolic capabilities, etc. Computers will be available to complete exercises.
In this workshop we will discuss the concept of dependency management, with the primary focus on build dependencies between software components. We will learn how to express the dependencies and how to automate the software building process using Make utility and language. We will go through hands-on exercises and will see how expressing the dependencies […]
People using R for applied research are often not taught basic programming practices such as writing functions, efficient iterative processing, vectorization, and other practices that would make their research far more efficient and reproducible. Understandably, focus is on basic data manipulation and getting model results. Unfortunately, this can mean the data isn’t as explored as […]
GEE is an extension of the generalized linear modeling (GLM) framework for dependent data. GEE can be used with longitudinal data, clustered data, and other forms of dependent data where a GLM may not be appropriate. In this workshop we will discuss fitting models using GEE in Python with the Statsmodels package. We will briefly […]
Prerequisites: Familiarity with basic statistical calculations and graphs is helpful. In this one-day, six-hour workshop we will discuss the basics of using SAS for data analysis. The workshop is held in a computer lab and will alternate between instructor presentations and attendee work sessions. After this course the attendee will be able to load data […]
In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning commonly used tools and programming patterns. The “Functional Programming with dplyr” workshop will initially focus on analyzing winter home temperatures in the US using data from the Residential Energy Consumption Survey (https://www.eia.gov/consumption/residential/). We’ll use the dplyr package for data […]