• Contents
  • About
  • Release Notes
  • Introduction to SAS/IML Studio
    • What Is SAS/IML Studio?
    • Related Software and Documentation
    • Exploratory and Confirmatory Data Analysis
    • How Many Observations Can You Analyze?
    • Summary of Features
    • Comparison with SAS/INSIGHT(R) Software
    • References
  • Getting Started with SAS/IML Studio
    • Overview of SAS/IML Studio
    • Overview of the Sample Data
    • Open the Data Set
    • Create a Bar Chart
    • Exclude Observations
    • Create a Histogram
    • Create a Box Plot
    • Create a Scatter Plot
    • Model Variable Relationships
    • References
  • Creating and Editing Data
    • Overview of Creating and Entering Data
    • Entering Data
      • Example: Create a Small Data Set
      • Adding Variables
      • Adding and Editing Observations
  • Interacting with the Data Table
    • Overview of the Data Table
    • Data Table Menus
    • The Variables Menu
      • The _OBSTAT_ Variable
      • Using the _OBSTAT_ Variable in SAS Procedures
    • Sorting Observations
    • Selecting Observations
    • The Observations Menu
      • Changing Marker Properties
      • Changing Observation Labels
      • Including and Excluding Observations
    • Examining Data
      • Finding Observations
      • Examining Selected Observations
      • Copying Selected Data
    • Saving Data
    • Properties of Data Tables
    • Keyboard Shortcuts in Data Tables
  • Exploring Data in One Dimension
    • Overview of Exploring Data in One Dimension
    • Bar Charts
      • Example: Create a Bar Chart
      • Bar Chart Properties
      • Bar Charts of Selected Variables
    • Histograms
      • Example: Create a Histogram
      • Histogram Properties
      • Histograms of Selected Variables
      • Example: Change the Positions of Histograms Bins
      • Interactive Histogram Binning
    • Box Plots
      • Example: Create a Box Plot
      • Box Plot Properties
      • Box Plots of Selected Variables
    • References
  • Exploring Data in Two Dimensions
    • Overview of Exploring Data in Two Dimensions
    • Mosaic Plots
      • Example: Create a Mosaic Plot
      • Mosaic Plot Properties
      • Mosaic Plots of Selected Variables
    • Scatter Plots
      • Example: Create a Scatter Plot
      • Scatter Plot Properties
      • Scatter Plots of Selected Variables
    • Line Plots
      • Example: Create a Line Plot from Multiple Y Variables
      • Example: Create a Line Plot from a Group Variable
      • Line Plot Properties
      • Line Plots of Selected Variables
    • Polygon Plots
      • Example: Create a Polygon Plot
      • Polygon Plot Properties
      • Polygon Plots of Selected Variables
  • Exploring Data in Three Dimensions
    • Overview of Exploring Data in Three Dimensions
    • Rotating Plots
      • Example: Create a Rotating Scatter Plot
      • Example: Create a Rotating Surface Plot
      • Rotating Plot Properties
      • Rotating Plots of Selected Variables
    • Contour Plots
      • Example: Create a Contour Plot
      • Contour Plot Properties
      • Contour Plots of Selected Variables
  • Interacting with Plots
    • Overview of Interacting with Plots
    • Interaction Tools
      • Select Tool
      • Pan Tool
      • Zoom Tool
      • Spin Tool
      • Bin Tool
      • Level Tool
    • Resetting the Plot View
    • Inserting Annotations
      • Example: Insert an Annotation
      • Annotation Properties
    • Adjusting Graph Area Margins
    • Observation Inspector
    • Copying Plots to the Windows Clipboard
    • Keyboard Shortcuts in Plots
  • General Plot Properties
    • Overview of Plot Properties
    • Context Areas
    • Changing Marker Shapes
      • Example: Change Marker Shapes
    • Changing Marker Colors
      • Example: Change Marker Colors
    • Displaying Only Selected Observations
      • Example: Display Only Selected Observations
    • Labeling Observations
      • Example: Label Observations
    • Common Plot Properties
      • Reference Lines Tab
      • Font Tab
      • Plot Area Tab
    • Common Graph Area Properties
      • Graph Area Tab
  • Axis Properties
    • Overview of Axis Properties
    • Adjusting Axes and Ticks
      • Example: Change Positions of Axis Tick Marks
      • Axis Properties Dialog Box
    • Changing an Axis Label
    • Suppressing the Display of Axes
  • Techniques for Exploring Data
    • Overview of Techniques for Exploring Data
    • Subsetting Data
    • Excluding Observations
    • Ordering Categories of a Nominal Variable
      • Example: Order Categories in a Bar Chart
    • Local Selection Mode
      • Overview of Global and Local Selection Modes
      • Example: Select Observations That Satisfy Multiple Criteria
      • Details
    • Workspace Explorer
      • Example: Manage Multiple Plot Windows
    • Copying Plots to the Windows Clipboard
  • Plotting Subsets of Data
    • Overview of Plotting Subsets of Data
    • Visualizing Data Features across Subsets of Data
    • Example: Create a Scatter Plot for Each Value of a BY Variable
    • Example: Set Marker Attributes for Each BY Group
      • Part 1: Create an Indicator Variable
      • Part 2: Change Marker Properties
      • Part 3: Create Plots for Each BY Group
    • Techniques for Managing BY Group Plots
    • BY Options Properties
  • Distribution Analysis: Descriptive Statistics
    • Overview of the Descriptive Statistics Analysis
    • Example: Compute Descriptive Statistics
    • Specifying the Descriptive Statistics Analysis
      • Variables Tab
      • Plots Tab
      • Tables Tab
      • Roles Tab
    • Analysis of Selected Variables
    • References
  • Distribution Analysis: Location and Scale Statistics
    • Overview of the Location and Scale Statistics Analysis
    • Example: Compute Location and Scale Statistics
    • Specifying the Location and Scale Statistics Analysis
      • Variables Tab
      • Tables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Distribution Analysis: Distributional Modeling
    • Overview of the Distributional Modeling Analysis
    • Example: Fit a Normal Distribution to Data
      • Are the Data Normal?
      • How Do the Data Deviate from Normality?
      • What Proportion of the Data Satisfies Certain Conditions?
    • Example: Specify Multiple Density Curves
    • Specifying the Distributional Modeling Analysis
      • Variables Tab
      • Estimators Tab
      • Plots Tab
      • Tables Tab
      • Roles Tab
    • Analysis of Selected Variables
    • References
  • Distribution Analysis: Frequency Counts
    • Overview of the Frequency Counts Analysis
    • Example: Display Frequency Counts
    • Specifying the Frequency Counts Analysis
      • Variables Tab
      • Plots Tab
      • Tables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Distribution Analysis: Outlier Detection
    • Overview of the Outlier Detection Analysis
    • Example: Detect Univariate Outliers
    • Specifying the Outlier Detection Analysis
      • Variables Tab
      • Method Tab
      • Plots Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Data Smoothing: Loess
    • Overview of the Loess Analysis
    • Example: Fit a Loess Curve to Data
    • Example: Compare Smoothers
      • Removing a Smoother
    • Specifying the Loess Analysis
      • Variables Tab
      • Method Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
    • Analysis of Selected Variables
    • References
  • Data Smoothing: Thin-Plate Spline
    • Overview of the Thin-Plate Spline Analysis
    • Example: Fit a Thin-Plate Spline Curve to Data
    • Specifying the Thin-Plate Spline Analysis
      • Variables Tab
      • Method Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
    • Analysis of Selected Variables
  • Data Smoothing: Polynomial Regression
    • Overview of the Polynomial Regression Analysis
    • Example: Fit a Polynomial Curve to Data
    • Specifying the Polynomial Regression Analysis
      • Variables Tab
      • Method Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
    • Analysis of Selected Variables
  • Model Fitting: Linear Regression
    • Overview of the Linear Regression Analysis
    • Example: Fit a Linear Regression Model
      • Part 1: Transform the Response Variable
      • Part 2: Select a Variable that Identifies Observations
      • Part 3: Model the Response Variable
      • Part 4: Interpret the Plots
    • Specifying the Linear Regression Analysis
      • Variables Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
    • References
  • Model Fitting: Robust Regression
    • Overview of the Robust Regression Analysis
    • Example: Fit a Robust Regression Model
      • Using the Results of Robust Regression
    • Specifying the Robust Regression Analysis
      • Variables Tab
      • Method Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Model Fitting: Logistic Regression
    • Overview of the Logistic Regression Analysis
    • Example: Fit a Logistic Regression Model
    • Specifying the Logistic Regression Analysis
      • Variables Tab
      • Effects Tab
      • Method Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Model Fitting: Generalized Linear Models
    • Overview of the Generalized Linear Models Analysis
    • Example 1: Fit a Linear Regression Model with Classification Variables
      • Explore the Data
      • Create an Initial Model
      • Revise the Model
    • Example 2: Fit a Poisson Regression Model
      • Explore the Data
      • Create the Offset Variable
      • Model the Data
      • Model Overdispersion
    • Specifying the Generalized Linear Models Analysis
      • Variables Tab
      • Effects Tab
      • Method Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
    • References
  • Multivariate Analysis: Correlation Analysis
    • Overview of the Correlation Analysis
    • Example: Examine Correlations between Variables
      • Use the Workspace Explorer to View All Plots
    • Specifying the Correlation Analysis
      • Variables Tab
      • Plots Tab
      • Tables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Multivariate Analysis: Principal Component Analysis
    • Overview of the Principal Component Analysis
    • Example: Reduce Dimensionality through Principal Component Analysis
    • Biplots
    • Specifying the Principal Component Analysis
      • Variables Tab
      • Method Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
    • References
  • Multivariate Analysis: Factor Analysis
    • Overview of Factor Analysis
    • Example: Reduce Dimensionality through Common Factor Analysis
    • Specifying the Factor Analysis
      • Variables Tab
      • Method Tab
      • Rotation Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
    • References
  • Multivariate Analysis: Canonical Correlation Analysis
    • Overview of Canonical Correlation Analysis
    • Example: Analyze the Relationship between Two Groups of Variables
    • Specifying the Canonical Correlation Analysis
      • Variables Tab
      • Method Tab
      • Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Multivariate Analysis: Canonical Discriminant Analysis
    • Overview of Canonical Discriminant Analysis
    • Example: Construct Linear Subspaces that Discriminate between Categories
    • Specifying the Canonical Discriminant Analysis
      • Variables Tab
      • Method Tab
      • The Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Multivariate Analysis: Discriminant Analysis
    • Overview of Discriminant Analysis
    • Example: Construct a Discriminant Function that Classifies Categories
    • Specifying the Discriminant Analysis
      • Variables Tab
      • The Method Tab
      • The Plots Tab
      • Tables Tab
      • Output Variables Tab
      • Roles Tab
    • Analysis of Selected Variables
  • Multivariate Analysis: Correspondence Analysis
    • Overview of the Correspondence Analysis
    • Example: Summarize the Association between Categories
    • Specifying the Correspondence Analysis
      • Variables Tab
      • The Method Tab
      • Plots Tab
      • Tables Tab
      • Roles Tab
    • Analysis of Selected Variables
    • References
  • Variable Transformations
    • Overview of Variable Transformations
    • Example: Apply a Logarithmic Transformation
    • Example: Apply a Box-Cox Transformation
    • Common Transformations
    • Normalizing Transformations
    • Variance Stabilizing Transformations
    • Transformations for Proportion Variables
      • The Folded Power Transformation
      • The Guerrero-Johnson Transformation
      • The Aranda-Ordaz Transformation
    • Scaling and Translation Transformations
    • Rank Transformations
    • Lag Transformations
    • Two-Variable Transformations
    • Custom Transformations
      • Example: Define a Custom Transformation
    • Applying Normalizing Transformations
      • Translating Data
      • Skewness
    • References
  • Running Custom Analyses
    • Overview of Running a Custom Analysis
    • Example: Run Sample Programs
    • Example: Run a User Analysis from the Main Menu
    • Example: Modify the UserAnalysis Module
    • Example: Create an Action Menu
  • Configuring the SAS/IML Studio Interface
    • Overview of Configuring SAS/IML Studio
    • SAS/IML Studio Window Types
    • General Options
    • Program Editor Options
    • Output Options
    • Runtime Options
    • Server Options
    • Windows Options
    • Directory and Search Path Options
      • Example: Change the Search Path for Data Files
    • The Personal Files Directory
      • Example: Change the Personal Files Directory
  • Sample Data Sets
    • Overview of 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 SAS/IML Studio


ProductRelease
SAS/IML14.1
SAS/IML Studio14.1
Type
Usage and Reference
Copyright Date
July 2015
Last Updated
14Jul2015