http://rapidshare.com/files/232542913/_158025697X.rarSAS/INSIGHT 9.1 User's Guide
By Sas Institute
Publisher: SAS Publishing
Number Of Pages: 816
Publication Date: 2002
ISBN-10 / ASIN: 158025697X
ISBN-13 / EAN: 9781580256971
Contents
Chapter 1. Getting Started
Summary of Features
Of Mice and Menus
Selecting Objects
Choosing from Menus
Pop-up Menus
Menu State Indicators
Learning More
Using This Manual
Conventions
Getting Help
Sample Data Sets
References
Part 2. Techniques
Chapter 2. Entering Data
Invoking SAS/INSIGHT Software
Entering Values
Navigating the Data Window
Adding Variables and Observations
Defining Variables
Fast Data Entry
Other Options
Chapter 3. Examining Data
Invoking SAS/INSIGHT Software
Scrolling the Data Window
Arranging Variables
Sorting Observations
Finding Observations
Examining Observations
Closing the Data Window
Chapter 4. Exploring Data in One Dimension
Bar Charts
Box Plots
Chapter 5. Exploring Data in Two Dimensions
Mosaic Plots
Scatter Plots
Scatter Plot Matrices
Brushing Observations
Line Plots
References
Chapter 6. Exploring Data in Three Dimensions
Rotating Plots
Rotating Plot with Fitted Surface
Contour Plots
Chapter 7. Adjusting Axes and Ticks
Adjusting Ticks
Adjusting 2D Axes
Adjusting 3D Axes
Chapter 8. Labeling Observations
Temporary and Permanent Labels
Using Label Variables
Setting a Default Label Variable
Chapter 9. Hiding Observations
Hiding Individual Observations
Toggling the Display of Observations
Slicing
Chapter 10. Marking Observations
Marking Individual Observations
Marking by Nominal Variable
Marking by Interval Variable
Adjusting Marker Size
Chapter 11. Coloring Observations
Coloring Individual Observations
Coloring by Nominal Variable
Coloring by Interval Variable
Multiple Color Blends
Chapter 12. Examining Distributions
Creating the Distribution Analysis
Box Plot
Histogram
Moments and Quantiles Tables
Adding Density Estimates
Normal Density Curve
Kernel Density Curve
Testing Distributions
References
Chapter 13. Fitting Curves
Parametric Regression Fits
Changing the Polynomial Degree
Adding Curves
Line Colors, Patterns, and Widths
Nonparametric Fits
Normal Kernel Fit
Loess Smoothing
References
Chapter 14. Multiple Regression
Creating the Analysis
Model Information
Summary of Fit
Analysis of Variance
Type III Tests
Parameter Estimates
Residuals-by-Predicted Plot
Adding Tables and Graphs
Collinearity Diagnostics Table
Partial Leverage Plots
Residual-by-Hat Diagonal Plot
Modifying the Model
Saving the Residuals
References
Chapter 15. Analysis of Variance
Assigning Measurement Levels
Creating the Analysis of Variance
Model Information
Summary of Fit
Analysis of Variance
Type III Tests
Parameter Estimates
Residuals-by-Predicted Plot
Examining the Means
References
Chapter 16. Logistic Regression
Displaying the Logistic Regression Analysis
Model Equation
Summary of Fit
Analysis of Deviance
Type III (Wald) Tests
Parameter Estimates Table
Residuals-by-Predicted Plot
Modifying the Model
References
Chapter 17. Poisson Regression
Displaying the Poisson Regression Analysis
Model Information
Summary of Fit
Analysis of Deviance
Type III (Wald) Tests
Modifying the Model
Parameter Estimates
References
Chapter 18. Examining Correlations
Creating the Analysis
Correlation Matrix
Confidence Ellipses
References
Chapter 19. Calculating Principal Components
Calculating Principal Components
Principal Component Tables
Principal Component Plots
Plotting Against Original Variables
Saving Principal Components
Chapter 20. Transforming Variables
Common Transformations
Other Transformations
References
Chapter 21. Comparing Analyses
Comparing Analyses of Different Observations
Extracting Observations
Excluding Observations
Comparing Analyses of Different Variables
Deleting Variables
Transforming Variables
Chapter 22. Analyzing by Groups
Using Group Variables
Comparing Groups by Copying Windows
Setting Default Group Variables
Formatting Group Variables
Chapter 23. Animating Graphs
Animating Selection of Observations
Animating Selected Graphs
Chapter 24. Formatting Variables and Values
Assigning Formats
Creating Formats
Chapter 25. Editing Windows
Zooming Windows
Renewing Windows
Adding and Deleting
Moving and Sizing
Aligning Graphs
Chapter 26. Saving and Printing Data
Saving Data
Printing Data
Chapter 27. Saving and Printing Graphics
Choosing Fonts
Setting Display Options
Saving Graphics
Saving Graphics Catalogs
Saving Graphics Files
Printing
Printing from the Display
Printing from the Clipboard
Printing from the Window
Chapter 28. Saving and Printing Tables
Saving and Printing Tables as Output Objects
Output Objects
Chapter 29. Configuring SAS/INSIGHT Software
Setting Options
Setting Method and Output Options
Setting Display, Window, and Graph Options
Saving Options
Setting Host Resources
Chapter 30. Working with Other SAS Products
Viewing Results from SAS/STAT Software
Submitting SAS/INSIGHT Statements
Recording SAS/INSIGHT Statements
References
Part 3. Reference
Chapter 31. Data Windows
Opening a Data Window
Variables
Observations
The Data Menu
Chapter 32. Histograms and Bar Charts
Variables
Method
Output
References
Chapter 33. Box Plots and Mosaic Plots
Variables
Method
Output
Multiple Comparison Options
Multiple Comparison Circles
References
Chapter 34. Line Plots
Variables
Method
Output
Chapter 35. Scatter Plots
Variables
Method
Output
Chapter 36. Contour Plot
Variables
Method
Output
Chapter 37. Rotating Plot
Variables
Method
Output
References
Chapter 38. Distribution Analyses
Parametric Distributions
Normal Distribution
Lognormal Distribution
Exponential Distribution
Weibull Distribution
Variables
Method
Output
Tables
Moments
Quantiles
Basic Confidence Intervals
Tests for Location
Frequency Counts
Robust Measures of Scale
Tests for Normality
Trimmed and Winsorized Means
Graphs
Box Plot/Mosaic Plot
Histogram/Bar Chart
QQ Plot
Curves
Parametric Density
Kernel Density
Empirical CDF
CDF Confidence Band
Parametric CDF
Test for a Specific Distribution
Test for Distribution
QQ Ref Line
Analysis for Nominal Variables
References
Chapter 39. Fit Analyses
Statistical Models
Linear Models
Generalized Linear Models
The Exponential Family of Distributions
Link Function
The Likelihood Function and Maximum-Likelihood Estimation
Scale Parameter
Goodness of Fit
Quasi-Likelihood Functions
Nonparametric Smoothers
Smoother Degrees of Freedom
Smoother Generalized Cross Validation
Variables
Method
Output
Tables
Model Information
Model Equation
X'X Matrix
Summary of Fit for Linear Models
Summary of Fit for Generalized Linear Models
Analysis of Variance for Linear Models
Analysis of Deviance for Generalized Linear Models
Type I Tests
Type III Tests
Parameter Estimates for Linear Models
Parameter Estimates for Generalized Linear Models
C.I. for Parameters
Collinearity Diagnostics
Estimated COV Matrix and Estimated CORR Matrix
Residual and Surface Plots
Residual-by-Predicted Plot
Residual Normal QQ Plot
Partial Leverage Plots
Parametric Surface Plot
Smoothing Spline Surface Plot
Kernel Surface Plot
Parametric Profile Surface Plot
Fit Curves
Parametric Curves: Confidence Ellipses
Parametric Curves: Polynomial
Parametric Curves: Confidence Curves
Nonparametric Smoothing Spline
Nonparametric Kernel Smoother
Nonparametric Local Polynomial Smoother
Output Variables
Hat Matrix Diagonal
Predicted Values
Linear Predictor
Residuals
Residual Normal Quantiles
Predicted Surfaces
Predicted Curves
Standardized and Studentized Residuals
Deviance Residuals
Pearson Residuals
Anscombe Residuals
Partial Leverage Variables
Cook's D
Dffits
Covratio
Dfbetas
Weighted Analyses
References
Chapter 40. Multivariate Analyses
Variables
Method
Principal Component Analysis
Principal Component Rotation
Canonical Correlation Analysis
Maximum Redundancy Analysis
Canonical Discriminant Analysis
Output
Principal Component Analysis
Principal Component Rotation
Canonical Correlation Analysis
Maximum Redundancy Analysis
Canonical Discriminant Analysis
Tables
Univariate Statistics
Sums of Squares and Crossproducts
Corrected Sums of Squares and Crossproducts
Covariance Matrix
Correlation Matrix
P-Values of the Correlations
Inverse Correlation Matrix
Pairwise Correlations
Principal Component Analysis
Principal Components Rotation
Canonical Correlation Analysis
Maximum Redundancy Analysis
Canonical Discriminant Analysis
Graphs
Scatter Plot Matrix
Principal Component Plots
Component Rotation Plots
Canonical Correlation Plots
Maximum Redundancy Plots
Canonical Discrimination Plots
Confidence Ellipses
Scatter Plot Confidence Ellipses
Canonical Discriminant Confidence Ellipses
Output Variables
Principal Components
Principal Component Rotation
Canonical Variables
Maximum Redundancy
Canonical Discriminant
Weighted Analyses
References
Chapter 41. SAS/INSIGHT Statements
Details
PROC INSIGHT Statement
WINDOW Statement
OPEN Statement
BY Statement
CLASS Statement
BAR Statement
BOX Statement
LINE Statement
SCATTER Statement
CONTOUR Statement
ROTATE Statement
DIST Statement
MULT Statement
FIT Statement
TABLES statement
RUN statement
QUIT statement
Index
