SAS(R) Stat Studio 3.1: User's Guide
- Release Notes
Introduction- Getting Started: Exploratory Data Analysis of Tropical Cyclones
- Creating and Editing Data
- The Data Table
- Exploring Data in One Dimension
- Exploring Data in Two Dimensions
- Exploring Data in Three Dimensions
- Interacting with Plots
- General Plot Properties
- Axis Properties
- Techniques for Exploring Data
- Plotting Subsets of Data
- Distribution Analysis: Descriptive Statistics
- Distribution Analysis: Location and Scale Statistics
- Distribution Analysis: Distributional Modeling
- Distribution Analysis: Frequency Counts
- Distribution Analysis: Outlier Detection
- Data Smoothing: Loess
- Data Smoothing: Thin-Plate Spline
- Data Smoothing: Polynomial Regression
- Model Fitting: Linear Regression
- Model Fitting: Robust Regression
- Model Fitting: Logistic Regression
- Model Fitting: Generalized Linear Models
- Multivariate Analysis: Correlation Analysis
- Multivariate Analysis: Principal Component Analysis
- Multivariate Analysis: Factor Analysis
- Multivariate Analysis: Canonical Correlation Analysis
- Multivariate Analysis: Canonical Discriminant Analysis
- Multivariate Analysis: Discriminant Analysis
- Multivariate Analysis: Correspondence Analysis
- Variable Transformations
- Example: A Logarithmic Transformation
- Example: A Box-Cox Transformation
- Common Transformations
- Normalizing Transformations
- Variance Stabilizing Transformations
- Transformations for Proportion Variables
- Scaling and Translation Transformations
- Rank Transformations
- Lag Transformations
- Two-Variable Transformations
- Custom Transformations
- Applying Normalizing Transformations
- References
- Running Custom Analyses
- Configuring the Stat Studio Interface
- Sample Data Sets
- SAS/INSIGHT Features Not Available in Stat Studio
Index here
| Product | Release |
|---|---|
| SAS/IML | 9.2 |
| SAS Stat Studio | 3.1 |
- Type
- Usage and Reference
- Copyright Date
- March 2008
- Last Updated
- 15Apr2008
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| Introduction |
Introduction
What Is Stat Studio?
Related Software and Documentation
Exploratory Data Analysis
How Many Observations Can You Analyze?
Summary of Features
Comparison with SAS/INSIGHT
Typographical Conventions
References
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