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IMSTAT Procedure (Analytics)
Syntax
Procedure Syntax
PROC IMSTAT (Analytics) Statement
AGGREGATE Statement
ARM Statement
ASSESS Statement
BOXPLOT Statement
CLUSTER Statement
CORR Statement
CROSSTAB Statement
DECISIONTREE Statement
DISTINCT Statement
FORECAST Statement
FREQUENCY Statement
GENMODEL Statement
GLM Statement
GROUPBY Statement
HISTOGRAM Statement
HYPERGROUP Statement
KDE Statement
LOGISTIC Statement
MDSUMMARY Statement
NEURAL Statement
OPTIMIZE Statement
PERCENTILE Statement
RANDOMWOODS Statement
REGCORR Statement
SUMMARY Statement
TEXTPARSE Statement
TOPK Statement
TRANSFORM Statement
QUIT Statement
Overview
Using
Temporary Tables, Generated Code, and Scoring
Generated Code and Locale Sensitivity
Examples
Calculating Percentiles and Quartiles
Retrieving Box Values
Retrieving Box Plot Values with the NOUTLIERLIMIT= Option
Retrieving Distinct Value Counts and Grouping
Performing a Cluster Analysis
Performing a Pairwise Correlation
Crosstabulation with Measures of Association and Chi-Square Tests
Training and Validating a Decision Tree
Storing and Scoring a Decision Tree
Performing a Multi-Dimensional Summary
Fitting a Regression Model
Forecasting and Automatic Modeling
Forecasting with Goal Seeking
Aggregating Time Series Data
Training and Validating a Neural Network
Predicting Email Spam and Assessing the Model
Transforming Variables with Imputation and Binning
Overview: IMSTAT (Analytics) Procedure
What Do the Analytic Statements for the IMSTAT Procedure Do?
The analytic statements of the IMSTAT procedure are used to perform in-memory analytics with a SAS LASR Analytic Server. All analyses are performed on in-memory tables.
Copyright © SAS Institute Inc. All Rights Reserved.
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