
CSCAR – Consulting for Statistics, Computing, and Analytics …
UM researchers are encouraged to make use of CSCAR services as needed; We typically limit each researcher to one appointment per week. Graduate students are available for …
Introduction to Stata - GitHub Pages
2025年3月11日 · Chapter 1: The Basics of Stata - Interacting with Stata. Chapter 2: Working with Data Sets - Importing, opening, and saving data sets. Chapter 3: Data Management - The …
Intermediate Stata (Statistical Modeling) - Errickson
CSCAR. http://cscar.research.umich.edu/ CSCAR is available for free consultations with PhD statisticians (email [email protected] to request a consultation). CSCAR also has …
Workshops – CSCAR
This workshop is intended for beginner R coders that want to understand how to work with different types of data. We will use RStudio to learn the rules to storing and …
Consulting for Statistics, Computing, and Analytics Research (CSCAR)
2018年10月3日 · Consulting for Statistics, Computing and Analytics Research (CSCAR) provides individualized support and training to University of Michigan researchers in a variety of areas …
CSCAR | ISR Data Science Portal
Consulting for Statistics, Computing, and Analytics Research (CSCAR) provides individualized support and training to U-M researchers from all disciplines in a variety of areas relating to the …
CSCAR – r - GitHub Pages
Posit pacakges: some of the most popular packages out there. RStart: useful, well-documented, well-coded packages. R Documentation: perhaps a little more user friendly than the task …
Consulting for Statistics, Computing & Analytics Research (CSCAR)
CSCAR provides analysis, consulting services, and training opportunities in data science, statistics, and advanced research computation.
CSCAR (Center For Statistical Consultation and Research)
2024年12月2日 · Center For Statistical Consultation and Research (CSCAR). U-M unit that offers an integrated, comprehensive statistical consulting service, covering all aspects of a …
Workshop: Applied Structural Equation Modeling
Introductory statistics, plus familiarity with multiple regression and factor analysis. Enrollees will receive substantial handouts. Morning refreshments will be served. Break for lunch (lunch not …