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LinkedIn Learning

Advanced SAS Programming for R Users, Part 1

via LinkedIn Learning

Overview

Enhance your programming skillset by learning how to apply your understanding of R— the language of big data—in the SAS environment at an advanced level.

Syllabus

Introduction
  • Welcome
1. Analyzing the Data via Inferential Procedures
  • Linear regression with PROC REG
  • Scoring new data sets
  • Demo: Multiple linear regression
  • Demo: Polynomial regression
  • ANOVA and ANCOVA with the general linear model procedure
  • Estimating linear combinations with the general linear model procedure
  • Demo: Two-way ANOVA
  • Demo: ANCOVA
  • Affect selection with the GLMSELECT procedure
  • Additional benefits of the GLMSELECT procedure
  • Demo: Stepwise selection with PROC GLMSELECT
  • Demo: Polynomial regression with the GLMSELECT procedure
  • Logistic regression with the LOGISTIC procedure
  • Counting concordant, discordant, and tied pairs in the logistic procedure
  • Demo: Logistic regression
  • Other generalized linear models with the GENMOD procedure
  • Demo: GENMOD procedure
  • Mixed models and the MIXED procedure
  • Demo: Two-way mixed model
  • Other procedures

Taught by

Jordan Bakerman

Reviews

4.6 rating at LinkedIn Learning based on 11 ratings

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