SAS(R) Stat Studio 3.11: User's Guide
- Release Notes
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
- Getting Started: Exploratory Data Analysis of Tropical Cyclones
- Opening the Data Set
- Creating a Bar Chart
- Creating a Histogram
- Creating a Box Plot
- Creating a Scatter Plot
- Modeling Variable Relationships
- References
- Creating and Editing Data
- The Data Table
- Context Menus
- Variable Properties
- Sorting Observations
- Observation Properties
- Selecting Observations
- Changing Marker Properties
- Changing Observation Labels
- Including and Excluding Observations
- Examining Data
- Saving Data
- Properties of Data Tables
- Keyboard Shortcuts in Data Tables
- Exploring Data in One Dimension
- Bar Charts
- Histograms
- Example
- Histogram Properties
- Histograms of Selected Variables
- Histogram Binning: Setting Tick Positions
- Interactive Histogram Binning
- Box Plots
- References
- Exploring Data in Two Dimensions
- Mosaic Plots
- Scatter Plots
- Line Plots
- Example: Multiple Y Variables
- Example: A Group Variable
- Line Plot Properties
- Line Plots of Selected Variables
- Polygon Plots
- Exploring Data in Three Dimensions
- Rotating Plots
- Example: A Rotating Scatter Plot
- Example: A Rotating Surface Plot
- Rotating Plot Properties
- Rotating Plots of Selected Variables
- Contour Plots
- Interacting with Plots
- Interaction Tools
- Resetting the Plot View
- Inserting Annotations
- Adjusting Graph Area Margins
- The Observation Inspector
- Copying Plots to the Windows Clipboard
- Keyboard Shortcuts in Plots
- General Plot Properties
- Context Areas
- Changing Marker Shapes
- Changing Marker Colors
- Displaying Only Selected Observations
- Labeling Observations
- Common Plot Properties
- Common Graph Area Properties
- Axis Properties
- Techniques for Exploring Data
- Subsetting Data
- Excluding Observations
- Ordering Categories of a Nominal Variable
- Local Selection Mode
- Workspace Explorer
- Copying Plots to the Windows Clipboard
- Plotting Subsets of Data
- A Simple Example
- Example 2: Setting Marker Attributes
- Techniques for Managing BY Group Plots
- BY Options Properties
- Distribution Analysis: Descriptive Statistics
- Distribution Analysis: Location and Scale Statistics
- Distribution Analysis: Distributional Modeling
- Example
- Specifying Multiple Density Curves
- Specifying the Distributional Modeling Analysis
- Analysis of Selected Variables
- References
- Distribution Analysis: Frequency Counts
- Distribution Analysis: Outlier Detection
- Data Smoothing: Loess
- Example
- Example: Comparing Smoothers
- Specifying the Loess Analysis
- Analysis of Selected Variables
- References
- Data Smoothing: Thin-Plate Spline
- Data Smoothing: Polynomial Regression
- Model Fitting: Linear Regression
- Example
- Transforming the Response
- Selecting a Variable Used to Label Observations
- Specifying the Mode
- Interpreting Linear Regression Plots
- Specifying the Linear Regression Analysis
- Analysis of Selected Variables
- References
- Model Fitting: Robust Regression
- Model Fitting: Logistic Regression
- Example
- Specifying the Logistic Regression Analysis
- The Variables Tab
- The Effects Tab
- The Method Tab
- The Plots Tab
- The Tables Tab
- The Output Variables Tab
- The Roles Tab
- Analysis of Selected Variables
- Model Fitting: Generalized Linear Models
- Example 1: Linear Regression with Classification Variables
- Example 2: Poisson Regression
- Specifying the Generalized Linear Models Analysis
- The Variables Tab
- The Effects Tab
- The Method Tab
- The Plots Tab
- The Tables Tab
- The Output Variables Tab
- The Roles Tab
- Analysis of Selected Variables
- References
- Multivariate Analysis: Correlation Analysis
- Multivariate Analysis: Principal Component Analysis
- Multivariate Analysis: Factor Analysis
- Example
- Specifying the Factor Analysis
- The Variables Tab
- The Method Tab
- The Rotation Tab
- The Plots Tab
- The Tables Tab
- The Output Variables Tab
- The Roles Tab
- Analysis of Selected Variables
- References
- 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
- Stat Studio Window Types
- General Options
- Program Editor Options
- Output Options
- Runtime Options
- Server Options
- Windows Options
- Directory and Search Path Options
- The Personal Files Directory
- Sample Data Sets
- Air Data
- Baseball Data
- Business Data
- Caribbean Data
- Central America Data
- Climate Data
- Drug Data
- Fish Data
- GPA Data
- Hurricanes Data
- Iris Data
- Mining Data
- Miningx Data
- Neuralgia Data
- Patient Data
- PRDSALE Data
- Ship Data
- States48 Data
- References
- SAS/INSIGHT Features Not Available in Stat Studio
Index here
| Product | Release |
|---|---|
| SAS/IML | 9.2 |
| SAS/IML Studio | 3.11 |
- Type
- Usage and Reference
- Copyright Date
- February 2009
- Last Updated
- 28Feb2009
| Exploring Data in One Dimension |
Exploring Data in One Dimension
You can explore the distributions of nominal variables by using bar charts. You can explore the univariate distributions of interval variables by using histograms and box plots.
Bar Charts
Histograms
Box Plots
References
