1. Interactive Matrix Language (IML)
The basics of IML
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Similarities to R
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Additional techniques
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Demo: Working in Interactive mode in SAS Studio
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Demo: Basic matrix operations by example
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Modules: Functions and subroutines
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Random number generation in IML
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Demo: Simple linear regression from scratch
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Common IML modules
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Demo: Navigating the SAS/IML documentation
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Creating modules
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Storage techniques
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Demo: Creating functions and subroutines
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Pulling a SAS dataset into an IML matrix
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Creating or editing a SAS dataset with an IML matrix
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Demo: Calling SAS datasets from IML
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Calling SAS procedures from IML
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Demo: Submitting SAS procedures
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Syntax for simulations
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Demo: The Monty Hall simulation
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Simulation techniques in general
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Demo: Sampling distribution method 1, entirely in IML
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Demo: Sampling distribution method 2, iteratively calling SAS procedures from IML
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Demo: Sampling distribution method 3, intelligently calling SAS procedures with the BY statement
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2. A Bridge between SAS and R
Calling R from SAS in general
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Readying your machine to call R
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Moving code, data, and results between SAS and R
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Demo: Working with R from IML
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Ex_Files_Adv_SAS_Programming_R_Users_Part_2_Upd.zip
(13.7 MB)