Hints for Getting Started with SAS®

Obtaining High-Resolution SAS® Graphs in PostScript®

Chapter 1

• Text Examples 1.1+ — Data List; SLR with Predicted Values and Residuals; Data and Regression Plot
  • Output Listing
  • Data and Regression Plot
• Text Examples 1.1+ — SLR with Predicted Values, Residuals, Confidence Intervals, Prediction Intervals; Regression Plots with Confidence Bounds
  • Output Listing
  • Data and Regression Plot from PROC REG
  • Data and Regression Plot from PROC GPLOT
• Text Example 1.12 — Regression Through the Origin
  • Output Listing
  • Data and Regression Plot from PROC REG
  • Data and Regression Plot from PROC GPLOT

Chapter 2

• Text Examples 2.1, 2.2, 2.3, 2.4, 2.10 — Various Matrix Operations in PROC IML
  • Output Listing

Chapter 3

• Text Examples 3.1+ — Simple Linear Regression in PROC IML
  • Output Listing

• Text Examples 4.2-4.5 — Sums of Squares and Variance Estimates in PROC IML
  • Output Listing
• Text Example 4.8 — Tests of General Linear Hypotheses in PROC IML and PROC REG
  • Output Listing
• Text Example 4.10 — Sequential and Partial Sums of Squares in PROC IML and PROC REG
  • Output Listing

• Linthurst Data (Spartina Biomass)
• Case Study (Spartina Biomass) — Analysis in PROC REG

• Linthurst Data (Spartina Biomass)
• Text Examples 7.1-7.7 — Variable Selection

• Text Example 9.2 — Class Variable Parameterizations in PROC IML and PROC GLM
  • Output Listing
• Text Example 9.4 — Homogeneity of Regressions in PROC IML and PROC GLM
  • Output Listing
• Companies Example — Homogeneity of Regressions in PROC GLM
  • Output Listing
  • Regressions Plot (from R)

• Text Example 8.2 — Univariate Polynomial Regression in PROC IML, PROC GLM, and PROC REG
  • Data Plot
  • Output Listing
• Text Example 8.3 — Lack of Fit for Polynomial Regression in PROC IML and PROC RSREG
  • Output Listing
  • Quadratic Regression Plot
• Text Example 8.4 — Orthogonal Polynomials in PROC IML
  • Output Listing
• Text Section 8.2 — Trigonometric Regression in PROC IML
  • Data Plot
  • Output Listing
  • Trigonometric Regression Plot
• Text Example 8.5 — Quadratic Response Surfaces in PROC IML and PROC RSREG
  • Output Listing

• Linthurst Data (Spartina Biomass)
• Text Example 11.17 — Linthurst Data Diagnostics in PROC REG

• Text Example 12.2 — Variance-Stabilizing Transformation for Poisson (Simulated Data)
  • Output Listing
  • Original Residual-vs-Predicted Plot
  • Residual-vs-Predicted Plot After Variance Stabilization
  • Residual-vs-Predicted Plot After Variance Stabilization and Mean Function Restoration
• Text Exercise 12.7 — Box-Cox Transformation (Watershed Data)
  • Output Listing
  • Original Residual-vs-Predicted Plot
  • Box-Cox Residual Sum of Squares Plot
  • Residual-vs-Predicted Plot After Box-Cox Transformation
• Highway Fatalities Example — Generalized Least Squares with Estimated First-Order Autoregressive Model
  • Data Plot
  • Data Plot After Log Transform
  • Output Listing
  • OLS Lagged-Residuals Plot
  • GLS Lagged-Residuals Plot
  • OLS and GLS Regression Plots

• Groundhog Day Example — Logistic Regression in PROC LOGISTIC

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