SAS User's Guide: StatisticsOVERVIEW 1 SAS regression procedures. 2 SAS analysis-of-variance procedures. 3 SAS categorical data procedures. 4 SAS multivariate procedures. 5 SAS discriminant procedures. 6 SAS clustering procedures. 7 SAS survival analysis procedures. 8 SAS scoring procedures. 9 The four types of estimable functions. PROCEDURES 10 ACECLUS. 11 ANOVA. 12 CANCORR. 13 CANDISC. 14 CATMOD. 15 CLUSTER. 16 DISCRIM. 17 FACTOR. 18 FASTCLUS. 19 FREQ. 20 GLM. 21 LIFEREG. 22 LIFETEST. 23 NEIGHBOR. 24 NESTED. 25 NLIN 26 NPAR1WAY. 27PLAN. 28 PRINCOMP. 29 PROBIT. 30 RANK. 31 REG. 32 RSQARE. 33 RSREG 34 SCORE. 35 STANDARD. 36 STEPDISC. |
Contents
SAS Regression Procedures 2 SAS AnalysisofVariance Procedures | 1 |
SAS Categorical Data Procedures 4 | 33 |
SAS Multivariate Procedures 21 | 39 |
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ANALYSIS OF VARIANCE ANOVA appear approximate associated canonical correlation canonical variables CATMOD cell CHI-SQUARE CLASS CLUSTER ANALYSIS coefficients column components computed contains continued CONTRAST correlation corresponding covariance matrix created criterion default defined density dependent variables design matrix distance distribution effect eigenvalues equal error estimates example factor FASTCLUS FREQ FREQUENCY given gives GROUP hypothesis includes independent input INTERCEPT iteration levels linear linkage marginal maximum MEAN method missing values MODEL statement multiple multivariate normal NOTE observations option output data set parameter estimates parameters performs PLOT population predicted principal prints prior PROB probability PROC procedure produces PROPORTION PSEUDO R-SQUARED random rank REFERENCES regression repeated measurement requests RESIDUAL response functions SAMPLE SAS data set scores sorted SOURCE specified squares STANDARD statistics sum of squares TEST transformation Type values variance WEIGHT XXXXXXX York zero