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Table 1 Two ways to display data with a multiclass response and predictors

From: Multiclass analysis and prediction with network structured covariates

Data Displayed With Class Label Used

Without Distinguishing Class Label

Class

Subject

Predictor

Response

Subject

Predictor

Response

1

1

X 111

X 211

⋯

X p11

Y11=1

1

X ·11

⋯

X ·1 p

Y ·1

 

2

X 112

X 212

⋯

X p12

Y12=1

2

X ·21

⋯

X ·2 p

Y ·1

 

3

X 113

X 213

⋯

X p13

Y13=1

3

X ·31

⋯

X ·3 p

Y ·3

 

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⋯

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⋯

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n 1

\(X_{11n_{1}}\)

\(X_{21n_{1}}\)

⋯

\(X_{p1n_{1}}\)

\(Y_{1n_{1}} = 1\)

n 1

\(X_{\cdot n_{1}1}\)

⋯

\(X_{\cdot n_{1} p}\)

\(Y_{\cdot n_{1}}\)

2

1

X 121

X 221

⋯

X p21

Y21=2

n1+1

\(X_{\cdot, n_{1}+1,1}\)

⋯

\(X_{\cdot, n_{1}+1, p}\)

\(Y_{\cdot, n_{1}+1}\)

 

2

X 122

X 222

⋯

X p22

Y22=2

n1+2

\(X_{\cdot, n_{1}+2,1}\)

⋯

\(X_{\cdot, n_{1}+2, p}\)

\(Y_{\cdot, n_{1}+2}\)

 

3

X 123

X 223

⋯

X p23

Y23=2

n1+3

\(X_{\cdot, n_{1}+3, 1}\)

⋯

\(X_{\cdot, n_{1}+3, p}\)

\(Y_{\cdot, n_{1}+3}\)

 

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⋯

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⋯

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n 2

\(X_{12n_{2}}\)

\(X_{22n_{2}}\)

⋯

\(X_{p2n_{2}}\)

\(Y_{2n_{2}} = 2\)

n1+n2

\(X_{\cdot, n_{1}+n_{2},1}\)

⋯

\(X_{\cdot, n_{1}+n_{2}, p}\)

\(Y_{\cdot, n_{1}+n_{2}}\)

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⋯

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⋯

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I

1

X 1 I1

X 2 I1

⋯

X pI1

YI1=I

n−nI+1

\(X_{\cdot, n-n_{I}+1,1}\)

⋯

\(X_{\cdot, n-n_{I}+1, p}\)

\(Y_{\cdot, n-n_{I}+1}\)

 

2

X 1 I2

X 2 I2

⋯

X pI2

YI2=I

n−nI+2

\(X_{\cdot, n-n_{I}+2,1}\)

⋯

\(X_{\cdot, n-n_{I}+2, p}\)

\(Y_{\cdot, n-n_{I}+2}\)

 

3

X 1 I3

X 2 I3

⋯

X pI3

YI3=I

n−nI+3

\(X_{\cdot, n-n_{I}+3,1}\)

⋯

\(X_{\cdot, n-n_{I}+3, p}\)

\(Y_{\cdot, n-n_{I}+3}\)

 

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⋯

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⋯

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n I

\(X_{1In_{I}}\)

\(X_{2In_{I}}\)

⋯

\(X_{pIn_{I}}\)

\(Y_{In_{I}} = I\)

n

X ·, n,1

⋯

X ·, n,p

Y ·, n