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. |
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Contents
SAS Regression Procedures | 3 |
SAS AnalysisofVariance Procedures | 15 |
SAS Categorical Data Procedures | 21 |
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Common terms and phrases
ACECLUS ANALYSIS OF VARIANCE ANOVA canonical correlation canonical variables cell CHI-SQUARE CLASS statement class variables CLUSTER ANALYSIS coefficients computed covariance matrix data set contains default defined degrees of freedom dependent variables design matrix display manager eigenvalues estimable functions example external file F statistic factor analysis FASTCLUS fileref FREQ Statement FREQ variable frequency function key hypothesis input data set INTERCEPT IRIS DATA iteration levels libref line command LINEAR MODELS log-linear model main effect MAXIMUM LIKELIHOOD MAXPULSE MEAN SQUARE method MODEL statement multivariate NLIN number of clusters number of observations operating system output data set parameter estimates PETALWID population principal components Printed Output PROB PROC PLOT program editor R-SQUARED rank regression repeated measurement requests residual response functions RSTPULSE RUNPULSE RUNTIME sample SAS data set SAS files SAS Institute SAS statements SAS System scores screen SOURCE DF SSCP sum of squares TEST Type xxxx xxxx xxxxxxx XXXXXXXXXXXXX zero