Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.5086  0.0068  0.0287  0.0255  0.0585  0.03
Anderszewski 2003   64  0.4642  0.0066  0.0455  0.0438  0.1958  0.09
Ashkenazy 1981   28  0.5911  0.0221  0.0527  0.2526  0.3133  0.28
Bacha 2000   55  0.4958  0.0069  0.0285  0.0226  0.3757  0.09
Badura 1965   73  0.3949  0.0071  0.0456  0.0454  0.0573  0.04
Barbosa 1983   78  0.3457  0.0067  0.0361  0.0368  0.0482  0.03
Biret 1990   44  0.5284  0.0058  0.0379  0.0343  0.1364  0.06
Blet 2003   71  0.4368  0.0075  0.0454  0.0458  0.0571  0.04
Block 1995   9  0.677  0.039  0.1010  0.408  0.4916  0.44
Blumental 1952   83  0.2735  0.0084  0.0375  0.0377  0.0387  0.03
Boshniakovich 1969   10  0.662  0.173  0.189  0.458  0.588  0.51
Brailowsky 1960   17  0.6244  0.0015  0.0817  0.341  0.5814  0.44
Bunin 1987   38  0.5734  0.0047  0.0747  0.0716  0.4247  0.17
Bunin 1987b   36  0.5721  0.0148  0.0944  0.0916  0.4243  0.19
Chiu 1999   69  0.4412  0.0228  0.0725  0.2517  0.4822  0.35
Cohen 1997   66  0.4656  0.0056  0.0453  0.044  0.5348  0.15
Cortot 1951   70  0.4470  0.0081  0.0377  0.0351  0.0676  0.04
Csalog 1996   65  0.4659  0.0076  0.0457  0.0426  0.3354  0.11
Czerny 1949   68  0.4553  0.0061  0.0369  0.0340  0.1362  0.06
Czerny 1990   40  0.5685  0.0053  0.0365  0.0363  0.0574  0.04
Duchoud 2007   54  0.4928  0.0165  0.0376  0.0369  0.0486  0.03
Ezaki 2006   13  0.6438  0.0023  0.0626  0.2515  0.4227  0.32
Falvay 1989   31  0.5923  0.0114  0.0811  0.408  0.4915  0.44
Farrell 1958   51  0.5080  0.0070  0.0371  0.0314  0.3953  0.11
Ferenczy 1958   77  0.3587  0.0087  0.0373  0.0374  0.0383  0.03
Fliere 1977   2  0.763  0.082  0.241  0.731  0.781  0.75
Fou 1978   24  0.6114  0.0112  0.098  0.4510  0.4910  0.47
Francois 1956   33  0.5847  0.0033  0.0533  0.1823  0.3338  0.24
Friedman 1923   86  0.2151  0.0083  0.0374  0.0339  0.1365  0.06
Friedman 1923b   85  0.2264  0.0082  0.0380  0.0338  0.1263  0.06
Friedman 1930   72  0.396  0.0330  0.0539  0.1517  0.4735  0.27
Garcia 2007   82  0.2852  0.0080  0.0372  0.0329  0.2461  0.08
Garcia 2007b   87  0.1778  0.0086  0.0383  0.0347  0.0577  0.04
Gierzod 1998   23  0.6131  0.0032  0.0730  0.217  0.4431  0.30
Gornostaeva 1994   3  0.7219  0.016  0.096  0.478  0.585  0.52
Groot 1988   5  0.7018  0.015  0.085  0.497  0.556  0.52
Harasiewicz 1955   42  0.5345  0.0010  0.0915  0.3513  0.3821  0.36
Hatto 1993   80  0.3088  0.0063  0.0458  0.0451  0.0575  0.04
Hatto 1997   79  0.3329  0.0131  0.0637  0.1739  0.1149  0.14
Horowitz 1949   19  0.625  0.0613  0.0913  0.372  0.5513  0.45
Indjic 1988   81  0.3089  0.0062  0.0364  0.0354  0.0570  0.04
Kapell 1951   49  0.5181  0.0064  0.0363  0.0357  0.0481  0.03
Kissin 1993   7  0.688  0.037  0.097  0.469  0.567  0.51
Kushner 1989   11  0.6560  0.0025  0.0629  0.2222  0.3234  0.27
Luisada 1991   45  0.5255  0.0054  0.0366  0.0334  0.2159  0.08
Lushtak 2004   41  0.534  0.0619  0.0623  0.2718  0.4425  0.34
Malcuzynski 1961   1  0.791  0.221  0.222  0.632  0.642  0.63
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   21  0.6240  0.0016  0.0622  0.2811  0.4323  0.35
Michalowski 1933   75  0.3739  0.0060  0.0362  0.0355  0.0568  0.04
Milkina 1970   30  0.5972  0.0042  0.0640  0.1418  0.3640  0.22
Mohovich 1999   12  0.6471  0.0017  0.0819  0.3114  0.4819  0.39
Moravec 1969   57  0.4876  0.0072  0.0378  0.0366  0.0478  0.03
Morozova 2008   48  0.5126  0.0143  0.0543  0.0927  0.2051  0.13
Neighaus 1950   6  0.6816  0.0111  0.083  0.555  0.604  0.57
Niedzielski 1931   63  0.4636  0.0077  0.0286  0.0251  0.0580  0.03
Ohlsson 1999   16  0.6424  0.0134  0.0536  0.1716  0.3537  0.24
Osinska 1989   15  0.6430  0.0137  0.0534  0.188  0.5229  0.31
Pachmann 1927   43  0.5220  0.0127  0.0718  0.324  0.6511  0.46
Paderewski 1930   22  0.6115  0.0151  0.0746  0.0714  0.4346  0.17
Perlemuter 1992   32  0.5827  0.0120  0.0620  0.309  0.5518  0.41
Pierdomenico 2008   37  0.5746  0.0026  0.0721  0.302  0.6317  0.43
Poblocka 1999   25  0.6067  0.0052  0.0748  0.0741  0.1555  0.10
Rabcewiczowa 1932   56  0.4813  0.0157  0.0370  0.0334  0.2060  0.08
Rachmaninoff 1923   59  0.4743  0.0039  0.0541  0.1321  0.3639  0.22
Rangell 2001   8  0.6732  0.008  0.0814  0.364  0.5812  0.46
Richter 1976   27  0.6017  0.0124  0.0524  0.2716  0.3728  0.32
Rosen 1989   4  0.719  0.034  0.104  0.554  0.713  0.62
Rosenthal 1930   35  0.5741  0.0046  0.0651  0.069  0.5644  0.18
Rosenthal 1931   60  0.4777  0.0045  0.0750  0.076  0.5841  0.20
Rosenthal 1931b   52  0.5090  0.0040  0.0632  0.185  0.6126  0.33
Rosenthal 1931c   14  0.6433  0.0022  0.0516  0.345  0.719  0.49
Rosenthal 1931d   39  0.5665  0.0041  0.1031  0.205  0.6024  0.35
Rossi 2007   76  0.3737  0.0049  0.0652  0.064  0.5145  0.17
Rubinstein 1939   84  0.2662  0.0085  0.0381  0.0343  0.1066  0.05
Rubinstein 1952   26  0.6010  0.0236  0.0635  0.1712  0.4932  0.29
Rubinstein 1966   61  0.4773  0.0073  0.0367  0.0349  0.0672  0.04
Schilhawsky 1960   47  0.5175  0.0055  0.0359  0.0323  0.3456  0.10
Shebanova 2002   34  0.5763  0.0050  0.0749  0.0737  0.2452  0.13
Smith 1975   20  0.6225  0.0118  0.0612  0.3715  0.3920  0.38
Sokolov 2002   18  0.6222  0.0135  0.0642  0.1231  0.3142  0.19
Sztompka 1959   58  0.4850  0.0059  0.0384  0.0360  0.0567  0.04
Tomsic 1995   29  0.5969  0.0044  0.0545  0.0935  0.1850  0.13
Uninsky 1932   74  0.3754  0.0079  0.0382  0.0371  0.0484  0.03
Uninsky 1971   62  0.4648  0.0074  0.0368  0.0355  0.0569  0.04
Wasowski 1980   67  0.4566  0.0078  0.0360  0.0379  0.0379  0.03
Zak 1937   50  0.5182  0.0038  0.0538  0.1623  0.3536  0.24
Zak 1951   46  0.5279  0.0029  0.0728  0.2318  0.4030  0.30
Random 1   90  -0.0383  0.0090  0.0190  0.0148  0.0490  0.02
Random 2   89  -0.0374  0.0089  0.0189  0.0158  0.0489  0.02
Random 3   88  0.0361  0.0088  0.0288  0.0246  0.0588  0.03

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).