Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.6819  0.0110  0.256  0.6112  0.538  0.57
Anderszewski 2003   28  0.5946  0.0031  0.0629  0.2829  0.3723  0.32
Ashkenazy 1981   44  0.5538  0.0047  0.0567  0.0538  0.1866  0.09
Bacha 2000   55  0.5323  0.0042  0.0544  0.1013  0.4141  0.20
Badura 1965   61  0.5256  0.0065  0.0653  0.0634  0.3059  0.13
Barbosa 1983   72  0.4977  0.0045  0.0558  0.0532  0.3258  0.13
Biret 1990   35  0.5749  0.0037  0.0634  0.2637  0.1939  0.22
Blet 2003   49  0.5468  0.0066  0.0651  0.0617  0.3650  0.15
Block 1995   71  0.5017  0.0136  0.0636  0.1917  0.4131  0.28
Blumental 1952   39  0.5612  0.0113  0.1016  0.4019  0.3418  0.37
Boshniakovich 1969   21  0.6245  0.0032  0.0735  0.2440  0.1743  0.20
Brailowsky 1960   56  0.5363  0.0069  0.0569  0.0527  0.3853  0.14
Bunin 1987   87  0.3382  0.0087  0.0478  0.0450  0.0584  0.04
Bunin 1987b   86  0.3461  0.0086  0.0476  0.0459  0.0482  0.04
Chiu 1999   53  0.5339  0.0046  0.0568  0.057  0.4155  0.14
Cohen 1997   84  0.4024  0.0076  0.0475  0.0422  0.3062  0.11
Cortot 1951   85  0.3775  0.0085  0.0382  0.0368  0.0488  0.03
Csalog 1996   42  0.5547  0.0041  0.0543  0.1213  0.4337  0.23
Czerny 1949   57  0.5387  0.0055  0.0573  0.0560  0.0578  0.05
Czerny 1990   20  0.6252  0.0029  0.0626  0.3242  0.1538  0.22
Duchoud 2007   59  0.5320  0.0148  0.0556  0.055  0.5348  0.16
Ezaki 2006   15  0.6422  0.0130  0.0628  0.2928  0.3226  0.30
Falvay 1989   25  0.6033  0.0049  0.0652  0.0616  0.4846  0.17
Farrell 1958   67  0.5172  0.0062  0.0647  0.0657  0.0673  0.06
Ferenczy 1958   38  0.5713  0.0123  0.0638  0.174  0.5725  0.31
Fliere 1977   2  0.719  0.055  0.152  0.7117  0.477  0.58
Fou 1978   10  0.6716  0.0111  0.1311  0.5213  0.5012  0.51
Francois 1956   45  0.5548  0.0051  0.0561  0.0520  0.4751  0.15
Friedman 1923   47  0.5536  0.0056  0.0557  0.0523  0.4352  0.15
Friedman 1923b   46  0.5530  0.0057  0.0846  0.0826  0.4244  0.18
Friedman 1930   40  0.5635  0.0058  0.0845  0.0818  0.4942  0.20
Garcia 2007   50  0.5478  0.0060  0.0650  0.0624  0.4149  0.16
Garcia 2007b   24  0.6029  0.0034  0.1033  0.2721  0.4621  0.35
Gierzod 1998   3  0.714  0.093  0.143  0.6818  0.545  0.61
Gornostaeva 1994   12  0.6557  0.0014  0.1213  0.497  0.5911  0.54
Groot 1988   58  0.5315  0.0118  0.0827  0.3114  0.3920  0.35
Harasiewicz 1955   22  0.6242  0.0017  0.1024  0.3440  0.1735  0.24
Hatto 1993   33  0.5866  0.0027  0.0819  0.3936  0.2130  0.29
Hatto 1997   32  0.5873  0.0028  0.0621  0.3635  0.1734  0.25
Horowitz 1949   83  0.4288  0.0075  0.0572  0.0557  0.0675  0.05
Indjic 1988   29  0.5940  0.0026  0.0718  0.3934  0.2229  0.29
Kapell 1951   23  0.6127  0.0033  0.0923  0.3540  0.1833  0.25
Kissin 1993   14  0.6518  0.0116  0.1314  0.4333  0.3616  0.39
Kushner 1989   6  0.683  0.107  0.2110  0.5820  0.549  0.56
Luisada 1991   8  0.682  0.132  0.167  0.604  0.692  0.64
Lushtak 2004   54  0.5337  0.0053  0.0555  0.0560  0.0579  0.05
Malcuzynski 1961   66  0.5162  0.0072  0.0648  0.0658  0.0474  0.05
Magaloff 1978   60  0.5254  0.0063  0.0474  0.0442  0.1172  0.07
Magin 1975   1  0.711  0.191  0.191  0.712  0.641  0.67
Michalowski 1933   65  0.5143  0.0071  0.0571  0.0532  0.2661  0.11
Milkina 1970   4  0.705  0.086  0.174  0.6711  0.603  0.63
Mohovich 1999   13  0.657  0.059  0.248  0.6010  0.644  0.62
Moravec 1969   73  0.4860  0.0074  0.0562  0.0534  0.2163  0.10
Morozova 2008   34  0.5832  0.0039  0.0639  0.1734  0.2740  0.21
Neighaus 1950   64  0.5190  0.0068  0.0477  0.0467  0.0485  0.04
Niedzielski 1931   69  0.5125  0.0054  0.0564  0.0531  0.2560  0.11
Ohlsson 1999   18  0.6314  0.0115  0.1012  0.5014  0.4913  0.49
Osinska 1989   5  0.7011  0.028  0.245  0.6316  0.576  0.60
Pachmann 1927   74  0.4758  0.0081  0.0286  0.0224  0.3669  0.08
Paderewski 1930   81  0.4379  0.0084  0.0383  0.0348  0.0486  0.03
Perlemuter 1992   41  0.5534  0.0040  0.0740  0.1618  0.4432  0.27
Pierdomenico 2008   52  0.5474  0.0070  0.0565  0.0522  0.4056  0.14
Poblocka 1999   30  0.5876  0.0043  0.0641  0.1539  0.1945  0.17
Rabcewiczowa 1932   51  0.5483  0.0038  0.0737  0.1927  0.2736  0.23
Rachmaninoff 1923   62  0.5259  0.0052  0.0559  0.0570  0.0481  0.04
Rangell 2001   75  0.4728  0.0073  0.0570  0.0544  0.1667  0.09
Richter 1976   77  0.4526  0.0078  0.0381  0.0356  0.0583  0.04
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   78  0.4541  0.0079  0.0385  0.0352  0.0487  0.03
Rosenthal 1931   80  0.4484  0.0083  0.0380  0.0339  0.2070  0.08
Rosenthal 1931b   79  0.4464  0.0080  0.0384  0.0333  0.2768  0.09
Rosenthal 1931c   76  0.4667  0.0077  0.0479  0.0434  0.2664  0.10
Rosenthal 1931d   82  0.4380  0.0082  0.0287  0.0229  0.3271  0.08
Rossi 2007   48  0.5431  0.0050  0.0560  0.0516  0.4154  0.14
Rubinstein 1939   43  0.5550  0.0059  0.0649  0.0633  0.3157  0.14
Rubinstein 1952   36  0.5721  0.0122  0.0732  0.2722  0.4322  0.34
Rubinstein 1966   26  0.6085  0.0025  0.0731  0.2831  0.3424  0.31
Schilhawsky 1960   63  0.5170  0.0061  0.0563  0.0554  0.0576  0.05
Shebanova 2002   9  0.676  0.074  0.139  0.6014  0.5010  0.55
Smith 1975   11  0.668  0.0512  0.1117  0.4012  0.4215  0.41
Sokolov 2002   68  0.5155  0.0064  0.0554  0.0538  0.1565  0.09
Sztompka 1959   16  0.6351  0.0021  0.0822  0.3637  0.2328  0.29
Tomsic 1995   37  0.5710  0.0219  0.0930  0.285  0.6314  0.42
Uninsky 1932   70  0.5081  0.0067  0.0566  0.0548  0.0677  0.05
Uninsky 1971   31  0.5871  0.0044  0.0742  0.1336  0.2147  0.17
Wasowski 1980   27  0.5965  0.0035  0.1125  0.3322  0.4317  0.38
Zak 1937   19  0.6244  0.0024  0.0520  0.3733  0.2327  0.29
Zak 1951   17  0.6386  0.0020  0.1015  0.4028  0.3219  0.36
Random 1   90  -0.1089  0.0088  0.0188  0.0125  0.2380  0.05
Random 2   88  -0.0653  0.0089  0.0189  0.0150  0.0489  0.02
Random 3   89  -0.0869  0.0090  0.0190  0.0175  0.0490  0.02

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).