The DISCRIM Procedure

ODS Table Names

PROC DISCRIM assigns a name to each table it creates. You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in Table 35.2. For more information about ODS, see Chapter 20: Using the Output Delivery System.

Table 35.2: ODS Tables Produced by PROC DISCRIM

ODS Table Name

Description

PROC DISCRIM Option

ANOVA

Univariate statistics

ANOVA

AvePostCrossVal

Average posterior probabilities, cross validation

POSTERR & CROSSVALIDATE

AvePostResub

Average posterior probabilities, resubstitution

POSTERR

AvePostTestClass

Average posterior probabilities, test classification

POSTERR & TEST=

AveRSquare

Average R-square

ANOVA

BCorr

Between-class correlations

BCORR

BCov

Between-class covariances

BCOV

BSSCP

Between-class SSCP matrix

BSSCP

BStruc

Between canonical structure

CANONICAL

CanCorr

Canonical correlations

CANONICAL

CanonicalMeans

Class means on canonical
variables

CANONICAL

ChiSq

Chi-square information

POOL=TEST

ClassifiedCrossVal

Number of observations and percent classified, cross validation

CROSSVALIDATE

ClassifiedResub

Number of observations and percent classified, resubstitution

default

ClassifiedTestClass

Number of observations and percent classified, test classification

TEST=

Counts

Number of observations,
variables, classes, df

default

CovDF

DF for covariance matrices, not displayed

any *COV option

Dist

Squared distances

DISTANCE

DistFValues

F values based on squared
distances

DISTANCE

DistGeneralized

Generalized squared distances

default

DistProb

Probabilities for F values from squared distances

DISTANCE

ErrorCrossVal

Error count estimates,
cross validation

CROSSVALIDATE

ErrorResub

Error count estimates,
resubstitution

default

ErrorTestClass

Error count estimates,
test classification

TEST=

Levels

Class level information

default

LinearDiscFunc

Linear discriminant function

POOL=YES

LogDet

Log determinant of the
covariance matrix

default

MultStat

MANOVA

MANOVA

PCoef

Pooled standard canonical
coefficients

CANONICAL

PCorr

Pooled within-class correlations

PCORR

PCov

Pooled within-class covariances

PCOV

PSSCP

Pooled within-class SSCP matrix

PSSCP

PStdMeans

Pooled standardized class means

STDMEAN

PStruc

Pooled within canonical
structure

CANONICAL

PostCrossVal

Posterior probabilities,
cross validation

CROSSLIST or CROSSLISTERR

PostErrCrossVal

Posterior error estimates,
cross validation

POSTERR & CROSSVALIDATE

PostErrResub

Posterior error estimates,
resubstitution

POSTERR

PostErrTestClass

Posterior error estimates,
test classification

POSTERR & TEST=

PostResub

Posterior probabilities,
resubstitution

LIST or LISTERR

PostTestClass

Posterior probabilities,
test classification

TESTLIST or TESTLISTERR

RCoef

Raw canonical coefficients

CANONICAL

SimpleStatistics

Simple statistics

SIMPLE

TCoef

Total-sample standard canonical coefficients

CANONICAL

TCorr

Total-sample correlations

TCORR

TCov

Total-sample covariances

TCOV

TSSCP

Total-sample SSCP matrix

TSSCP

TStdMeans

Total standardized class means

STDMEAN

TStruc

Total canonical structure

CANONICAL

WCorr

Within-class correlations

WCORR

WCov

Within-class covariances

WCOV

WSSCP

Within-class SSCP matrices

WSSCP