ANTHRBIO 463 - Statistical Modeling and Data Visualization in R
Section: 001
Term: FA 2019
Subject: Anthropology, Biological (ANTHRBIO)
Department: LSA Anthropology
Credits:
4
Requirements & Distribution:
BS, QR/1
Advisory Prerequisites:
Basic knowledge of statistics (e.g., linear regression). Some prior experience with R is advisable, but not required.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Rackham Information:
Rackham credit requires additional work.
Primary Instructor:

This course is a boot camp in statistical modeling and data visualization using the R computer language. Topics include basic R programming, data exploration, statistical modeling, formal model comparison, parameter estimation and interpretation, and the visual display of quantitative information. Students will learn how to use the R statistical environment to process, analyze, and visualize data. We will provide R code to execute all example analyses used in class; assignments will entail modifying and extending this code to solve similar problems. Statistical topics will focus primarily on various types of general linear models, generalized linear models (GLMs), and generalized linear mixed models (GLMMs) and formal model comparison using information criteria. We will also discuss data imputation, resampling, and basic simulations. Classes on data visualization will help students to learn principled, effective ways to visually depict data using R. This is not an introductory statistics course. Participants are expected to begin the course with a solid understanding of basic statistical methods (e.g., linear regression). No formal modeling experience, programming ability, or knowledge of advanced mathematics are required. Some prior experience with R is advisable, but not required.

ANTHRBIO 463 - Statistical Modeling and Data Visualization in R
Schedule Listing
001 (LEC)
 
26663
Closed
0
 
-
TuTh 1:00PM - 2:30PM
002 (LAB)
P
26664
Closed
0
 
-
M 10:00AM - 12:00PM
003 (LAB)
P
26665
Closed
0
 
-
M 1:00PM - 3:00PM
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