Advanced SAS Programming for R Users, Part 1

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.

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