Providing software solutions since 1976
Capabilities
- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Distribution Analysis
- Discriminant Analysis
- Exact Methods
- Group Sequential Design and Analysis
- Market Research
- Missing Value Imputation
- Mixed Models
- Multivariate Analysis
- Nonparametric Statistics
- Power and Sample Size
- Psychometric Analysis
- Regression
- Spatial Analysis
- Structural Equations
- Survey Sampling and Analysis
- Survival Analysis
- Transformations
- SAS/STAT Procedures A-Z
The CANDISC Procedure
- performs a canonical discriminant analysis, computes squared Mahalanobis distances between class means, and performs both univariate and multivariate one-way analyses of variance
- produces two output data sets: one containing the canonical coefficients and another containing, among other things, scored canonical variables
- displays both standardized and unstandardized canonical coefficients
- displays correlations between the canonical variables and the original variables as well as the class means for the canonical variables
- uses the scored canonical variables output data in conjunction with ODS Graphics to plot pairs of canonical variables in order to aid visual interpretation of group differences
- tests the hypothesis that each canonical correlation and all smaller canonical correlations are zero in the population
- obtain separate analyses on observations in groups
- perform weighted analysis
- uses ODS to create a SAS data set corresponding to any table
For further details see the SAS/STAT User's Guide:
The CANDISC Procedure
( PDF | HTML )
Examples
Statistics and Operations Research Home Page | SAS/STAT Software
