Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5131  0.0040  0.0736  0.268  0.5422  0.37
Anderszewski 2003   50  0.4261  0.0042  0.0740  0.2363  0.0548  0.11
Ashkenazy 1981   57  0.4088  0.0077  0.0380  0.0350  0.0579  0.04
Bacha 2000   74  0.3577  0.0075  0.0383  0.0355  0.0482  0.03
Badura 1965   61  0.3920  0.0028  0.0642  0.2023  0.3631  0.27
Barbosa 1983   37  0.4569  0.0034  0.0535  0.2756  0.0742  0.14
Biret 1990   45  0.4343  0.0033  0.0531  0.3162  0.0546  0.12
Blet 2003   75  0.3583  0.0078  0.0384  0.0375  0.0386  0.03
Block 1995   70  0.3665  0.0031  0.0538  0.2535  0.2632  0.25
Blumental 1952   32  0.4610  0.0119  0.0918  0.4733  0.3518  0.41
Boshniakovich 1969   10  0.5325  0.0020  0.0819  0.4527  0.2924  0.36
Brailowsky 1960   56  0.4078  0.0055  0.0467  0.0461  0.0666  0.05
Bunin 1987   72  0.3584  0.0053  0.0648  0.0649  0.0664  0.06
Bunin 1987b   68  0.3670  0.0052  0.0455  0.0440  0.1358  0.07
Chiu 1999   31  0.4735  0.0038  0.0829  0.327  0.4920  0.40
Cohen 1997   76  0.3439  0.0073  0.0462  0.0439  0.1160  0.07
Cortot 1951   88  0.1879  0.0088  0.0288  0.0282  0.0291  0.02
Csalog 1996   35  0.4633  0.0029  0.0733  0.2936  0.1935  0.23
Czerny 1949   59  0.4056  0.0072  0.0465  0.0463  0.0577  0.04
Czerny 1990   39  0.4519  0.0159  0.0376  0.0378  0.0388  0.03
Duchoud 2007   26  0.4827  0.0026  0.0622  0.401  0.785  0.56
Ezaki 2006   15  0.5226  0.0024  0.0625  0.3550  0.0640  0.14
Falvay 1989   6  0.568  0.029  0.216  0.6428  0.477  0.55
Farrell 1958   67  0.3666  0.0062  0.0375  0.0364  0.0484  0.03
Ferenczy 1958   46  0.4332  0.0044  0.0845  0.1920  0.5129  0.31
Fliere 1977   3  0.6013  0.012  0.154  0.6811  0.532  0.60
Fou 1978   13  0.5245  0.0025  0.0732  0.3143  0.1236  0.19
Francois 1956   66  0.3757  0.0058  0.0374  0.0339  0.1957  0.08
Friedman 1923   71  0.3575  0.0070  0.0646  0.0633  0.2843  0.13
Friedman 1923b   73  0.3563  0.0069  0.0466  0.0433  0.2752  0.10
Friedman 1930   54  0.4251  0.0030  0.0543  0.2016  0.4728  0.31
Garcia 2007   62  0.3871  0.0051  0.0460  0.0430  0.3545  0.12
Garcia 2007b   53  0.4280  0.0049  0.0549  0.0545  0.1161  0.07
Gierzod 1998   2  0.626  0.035  0.173  0.6829  0.3513  0.49
Gornostaeva 1994   14  0.5241  0.0018  0.0915  0.4922  0.4116  0.45
Groot 1988   49  0.439  0.0112  0.1217  0.4719  0.3519  0.41
Harasiewicz 1955   28  0.4748  0.0045  0.1044  0.1956  0.0553  0.10
Hatto 1993   18  0.5236  0.0015  0.1812  0.5825  0.4114  0.49
Hatto 1997   12  0.5323  0.0014  0.1310  0.5825  0.4212  0.49
Horowitz 1949   84  0.2967  0.0068  0.0552  0.0519  0.3941  0.14
Indjic 1988   11  0.5315  0.0113  0.139  0.5825  0.4211  0.49
Kapell 1951   38  0.4562  0.0048  0.0647  0.0662  0.0568  0.05
Kissin 1993   30  0.4712  0.0117  0.1139  0.2444  0.2334  0.23
Kushner 1989   5  0.572  0.084  0.197  0.6425  0.428  0.52
Luisada 1991   27  0.4730  0.0027  0.0521  0.4315  0.5015  0.46
Lushtak 2004   44  0.4449  0.0039  0.0637  0.2656  0.0549  0.11
Malcuzynski 1961   34  0.4638  0.0041  0.0734  0.2866  0.0447  0.11
Magaloff 1978   47  0.4353  0.0066  0.0457  0.0464  0.0472  0.04
Magin 1975   7  0.557  0.037  0.1713  0.5521  0.479  0.51
Michalowski 1933   85  0.2837  0.0086  0.0385  0.0333  0.2056  0.08
Milkina 1970   9  0.5421  0.0011  0.1714  0.5442  0.1630  0.29
Mohovich 1999   23  0.503  0.063  0.185  0.6516  0.533  0.59
Moravec 1969   29  0.4758  0.0035  0.0628  0.3339  0.1733  0.24
Morozova 2008   63  0.3876  0.0065  0.0463  0.0448  0.0863  0.06
Neighaus 1950   83  0.3089  0.0085  0.0464  0.0482  0.0289  0.03
Niedzielski 1931   64  0.3816  0.0143  0.0641  0.212  0.5226  0.33
Ohlsson 1999   21  0.5111  0.0116  0.1016  0.4813  0.5210  0.50
Osinska 1989   4  0.5914  0.018  0.162  0.6832  0.456  0.55
Pachmann 1927   65  0.3828  0.0076  0.0381  0.0332  0.3150  0.10
Paderewski 1930   87  0.2485  0.0087  0.0387  0.0369  0.0485  0.03
Perlemuter 1992   48  0.4317  0.0146  0.0550  0.0510  0.4738  0.15
Pierdomenico 2008   40  0.4468  0.0071  0.0468  0.0431  0.3444  0.12
Poblocka 1999   43  0.4481  0.0050  0.0551  0.0553  0.0862  0.06
Rabcewiczowa 1932   52  0.4274  0.0032  0.0527  0.3445  0.1037  0.18
Rachmaninoff 1923   80  0.3250  0.0056  0.0454  0.0469  0.0473  0.04
Rangell 2001   77  0.3324  0.0079  0.0470  0.0471  0.0580  0.04
Richter 1976   41  0.4440  0.0061  0.0377  0.0351  0.0574  0.04
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   79  0.3247  0.0081  0.0382  0.0347  0.0678  0.04
Rosenthal 1931   81  0.3272  0.0084  0.0456  0.0452  0.0576  0.04
Rosenthal 1931b   78  0.3290  0.0080  0.0386  0.0349  0.0581  0.04
Rosenthal 1931c   69  0.3652  0.0067  0.0553  0.0553  0.0765  0.06
Rosenthal 1931d   82  0.3059  0.0082  0.0458  0.0448  0.0770  0.05
Rossi 2007   58  0.4029  0.0074  0.0473  0.0457  0.0571  0.04
Rubinstein 1939   55  0.4146  0.0060  0.0378  0.0374  0.0383  0.03
Rubinstein 1952   22  0.5042  0.0023  0.0630  0.3146  0.0739  0.15
Rubinstein 1966   25  0.4882  0.0047  0.0459  0.0451  0.0769  0.05
Schilhawsky 1960   33  0.4673  0.0054  0.0471  0.0439  0.2351  0.10
Shebanova 2002   16  0.525  0.0310  0.2211  0.5810  0.574  0.57
Smith 1975   36  0.4534  0.0063  0.0469  0.0451  0.0767  0.05
Sokolov 2002   60  0.3955  0.0057  0.0472  0.0442  0.1655  0.08
Sztompka 1959   51  0.4260  0.0064  0.0461  0.0461  0.0575  0.04
Tomsic 1995   8  0.554  0.056  0.178  0.623  0.641  0.63
Uninsky 1932   86  0.2486  0.0083  0.0379  0.0375  0.0387  0.03
Uninsky 1971   24  0.5087  0.0037  0.0824  0.3636  0.3127  0.33
Wasowski 1980   42  0.4454  0.0022  0.0726  0.3434  0.3225  0.33
Zak 1937   20  0.5122  0.0036  0.0623  0.3634  0.3723  0.36
Zak 1951   17  0.5264  0.0021  0.0820  0.4324  0.4117  0.42
Average   1  0.681  0.521  0.521  0.8141  0.2021  0.40
Random 1   90  -0.0191  0.0089  0.0289  0.0212  0.4454  0.09
Random 2   89  0.0118  0.0190  0.0290  0.0226  0.2759  0.07
Random 3   91  -0.0644  0.0091  0.0191  0.0151  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).