Events

Introduction to Julia for Statisticians and Data Scientists Day #3

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have prior programming experience with a language such as Python, R, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop […]

Introduction to Stata: The Basics of Stata

Your Desktop

This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03, 1:00 - 2:30) Section 2: Data Management – The basics of maintaining and exploring a […]

Introduction to Stata: Data Management

Your Desktop

This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03, 1:00 – 2:30) Section 2: Data Management – The basics of maintaining and exploring a […]

Introduction to Stata: Data Manipulation

Your Desktop

This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03, 1:00 – 2:30) Section 2: Data Management – The basics of maintaining and exploring a […]

Introduction to R: The Basics of R

This is a series of workshops to introduce the R programming language, as well as using R for data management, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:   1. The Basics of R -- Basic concepts and commands of the R programming language. 2. […]

Introduction to R: Data Management and Manipulation with dplyr

This is a series of workshops to introduce the R programming language, as well as using R for data management, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:   1. The Basics of R -- Basic concepts and commands of the R programming language. 2. […]

Introduction to R: Data Visualization with ggplot2

This is a series of workshops to introduce the R programming language, as well as using R for data management, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:   1. The Basics of R -- Basic concepts and commands of the R programming language. 2. […]

Matching with R

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

Audience: Researchers who are use or are interested in using matching. Taught in R (familiarity is assumed) but concepts transfer to other software. An introduction to matching, such as propensity score matching, using R's "optmatch" package. We will discuss the theory behind matching and propensity scores, followed by examples using R to perform the matching […]

Introduction to Stata (Beginner)

Audience: Those who have never used Stata before but wish to learn. By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and using the help system; Get data into Stata and manage your data files; Establish familiarity with your data; Clean the data to prepare it for […]

Stata’s `margins` command

Audience: Researchers using Stata to fit statistical models Stata's `margins` command is a powerful and robust tool that makes Stata one of the premier pieces of software for statistical analysis. In this workshop, we will cover the basic uses of the `margins` command, including its use to better understand categorical predictors, interactions, and non-linear effects; […]