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Table 1 Pearson and Spearman correlations of PEVMean with functions 1, 2 and 3 for three models and two relationship matrices (\(\mathbf{A}\) and \(\mathbf{H}\))

From: Estimation of genetic connectedness diagnostics based on prediction errors without the prediction error variance–covariance matrix

Model

 

Function

1

2

3

1

A

Diagonals Pearson

0.994

1

NA

Diagonals Spearman

0.932

1

NA

Off-diagonal Pearson

1

1

NA

Off-diagonal Spearman

1

1

NA

1

H

Diagonals Pearson

0.994

1

NA

Diagonals Spearman

0.928

1

NA

Off-diagonal Pearson

1

1

NA

Off-diagonal Spearman

1

1

NA

2

A

Diagonals Pearson

0.994

1.000*

1

Diagonals Spearman

0.932

0.999

1

Off-diagonal Pearson

0.995

0.995

1

Off-diagonal Spearman

0.625

0.625

1

2

H

Diagonals Pearson

0.994

1.000*

1

Diagonals Spearman

0.928

1.000*

1

Off-diagonal Pearson

0.996

0.996

1

Off-diagonal Spearman

0.710

0.710

1

3

A

Diagonals Pearson

0.994

1.000*

1

Diagonals Spearman

0.935

0.980

1

Off-diagonal Pearson

0.481

0.481

1

Off-diagonal Spearman

0.423

0.423

1

3

H

Diagonals Pearson

0.994

1.000*

1

Diagonals Spearman

0.931

0.985

1

Off-diagonal Pearson

0.534

0.534

1

Off-diagonal Spearman

0.491

0.491

1

  1. Measure 3 is not applicable for Model 1. Correlations marked with a* round to 1 as opposed to being exactly 1