Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.3970  0.0061  0.0549  0.0569  0.0360  0.04
Anderszewski 2003   20  0.5145  0.0015  0.0821  0.3374  0.0327  0.10
Ashkenazy 1981   52  0.4111  0.0058  0.0457  0.0478  0.0379  0.03
Bacha 2000   37  0.4477  0.0047  0.0554  0.0564  0.0542  0.05
Badura 1965   86  0.2223  0.0075  0.0379  0.0384  0.0289  0.02
Barbosa 1983   87  0.1778  0.0073  0.0375  0.0387  0.0286  0.02
Biret 1990   26  0.4827  0.0041  0.0442  0.0878  0.0441  0.06
Blet 2003   60  0.3861  0.0063  0.0547  0.0581  0.0356  0.04
Block 1995   53  0.4146  0.0046  0.0458  0.0481  0.0377  0.03
Blumental 1952   67  0.355  0.0033  0.0533  0.1186  0.0246  0.05
Boshniakovich 1969   47  0.4262  0.0053  0.0466  0.0480  0.0378  0.03
Brailowsky 1960   8  0.5879  0.007  0.2310  0.5217  0.396  0.45
Bunin 1987   70  0.3355  0.0072  0.0462  0.0458  0.0562  0.04
Bunin 1987b   71  0.3328  0.0071  0.0380  0.0356  0.0554  0.04
Chiu 1999   81  0.2847  0.0051  0.0548  0.0583  0.0350  0.04
Cohen 1997   73  0.3216  0.0044  0.0444  0.0821  0.2618  0.14
Cortot 1951   62  0.3748  0.0081  0.0383  0.0384  0.0382  0.03
Csalog 1996   64  0.3622  0.0069  0.0372  0.0360  0.0473  0.03
Czerny 1949   61  0.3814  0.0065  0.0464  0.0485  0.0376  0.03
Czerny 1990   27  0.4724  0.0030  0.0820  0.3362  0.0425  0.11
Duchoud 2007   66  0.3549  0.0068  0.0371  0.0386  0.0288  0.02
Ezaki 2006   25  0.486  0.0031  0.1027  0.2684  0.0330  0.09
Falvay 1989   17  0.5250  0.009  0.1111  0.5031  0.337  0.41
Farrell 1958   29  0.4771  0.0029  0.0725  0.3149  0.0617  0.14
Ferenczy 1958   77  0.3034  0.0087  0.0470  0.0468  0.0459  0.04
Fliere 1977   13  0.5639  0.0020  0.0814  0.4577  0.0320  0.12
Fou 1978   21  0.5113  0.0011  0.1313  0.4746  0.0713  0.18
Francois 1956   32  0.4612  0.0042  0.0440  0.0987  0.0263  0.04
Friedman 1923   85  0.2230  0.0083  0.0284  0.0278  0.0483  0.03
Friedman 1923b   84  0.2340  0.0082  0.0287  0.0268  0.0580  0.03
Friedman 1930   72  0.3241  0.0067  0.0463  0.0477  0.0458  0.04
Garcia 2007   42  0.438  0.0059  0.0553  0.0566  0.0461  0.04
Garcia 2007b   63  0.3772  0.0055  0.0552  0.0556  0.0548  0.05
Gierzod 1998   16  0.5315  0.0032  0.0831  0.2086  0.0334  0.08
Gornostaeva 1994   6  0.6329  0.006  0.187  0.5425  0.298  0.40
Groot 1988   30  0.4617  0.0023  0.0822  0.3266  0.0426  0.11
Harasiewicz 1955   51  0.4220  0.0019  0.0823  0.3281  0.0329  0.10
Hatto 1993   80  0.2980  0.0078  0.0378  0.0381  0.0381  0.03
Hatto 1997   76  0.3056  0.0079  0.0376  0.0386  0.0374  0.03
Horowitz 1949   45  0.4318  0.0052  0.0550  0.0577  0.0355  0.04
Indjic 1988   78  0.2981  0.0080  0.0461  0.0482  0.0372  0.03
Kapell 1951   28  0.4773  0.0048  0.0555  0.0580  0.0352  0.04
Kissin 1993   22  0.5082  0.0016  0.0817  0.3759  0.0421  0.12
Kushner 1989   9  0.5883  0.0022  0.0926  0.2963  0.0424  0.11
Luisada 1991   36  0.4451  0.0035  0.0535  0.1086  0.0249  0.04
Lushtak 2004   68  0.3442  0.0040  0.0443  0.0877  0.0345  0.05
Malcuzynski 1961   11  0.5735  0.0021  0.0919  0.3547  0.0519  0.13
Magaloff 1978   5  0.6652  0.005  0.375  0.6312  0.425  0.51
Magin 1975   12  0.5757  0.0013  0.1112  0.4849  0.0516  0.15
Michalowski 1933   75  0.3019  0.0076  0.0285  0.0280  0.0385  0.02
Milkina 1970   7  0.6074  0.008  0.119  0.5246  0.0711  0.19
Mohovich 1999   18  0.5263  0.0024  0.0718  0.3575  0.0328  0.10
Moravec 1969   19  0.519  0.0014  0.1015  0.3929  0.339  0.36
Morozova 2008   57  0.4053  0.0038  0.0436  0.1076  0.0344  0.05
Neighaus 1950   35  0.4443  0.0060  0.0745  0.0780  0.0447  0.05
Niedzielski 1931   40  0.4444  0.0043  0.0441  0.0860  0.0438  0.06
Ohlsson 1999   56  0.4084  0.0064  0.0459  0.0480  0.0370  0.03
Osinska 1989   31  0.4675  0.0057  0.0468  0.0482  0.0364  0.03
Pachmann 1927   49  0.4264  0.0045  0.0460  0.0440  0.1137  0.07
Paderewski 1930   39  0.4431  0.0062  0.0456  0.0473  0.0368  0.03
Perlemuter 1992   44  0.4310  0.0028  0.0724  0.3265  0.0422  0.11
Pierdomenico 2008   54  0.4136  0.0054  0.0465  0.0466  0.0451  0.04
Poblocka 1999   55  0.4176  0.0074  0.0373  0.0373  0.0465  0.03
Rabcewiczowa 1932   43  0.4325  0.0018  0.0928  0.2348  0.0523  0.11
Rachmaninoff 1923   15  0.5332  0.0012  0.138  0.5250  0.0515  0.16
Rangell 2001   23  0.5021  0.0025  0.0732  0.2052  0.0431  0.09
Richter 1976   69  0.3333  0.0070  0.0374  0.0377  0.0367  0.03
Rosen 1989   14  0.5437  0.0026  0.0729  0.2386  0.0335  0.08
Rosenthal 1930   4  0.764  0.004  0.594  0.853  0.824  0.83
Rosenthal 1931   1  0.981  0.611  0.601  0.991  0.991  0.99
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.873  0.013  0.853  0.951  0.933  0.94
Rosenthal 1931d   2  0.972  0.382  0.952  0.991  0.982  0.98
Rossi 2007   79  0.297  0.0037  0.0538  0.1047  0.0632  0.08
Rubinstein 1939   48  0.4265  0.0036  0.0437  0.1022  0.3112  0.18
Rubinstein 1952   33  0.4666  0.0017  0.0916  0.3836  0.2410  0.30
Rubinstein 1966   46  0.4367  0.0050  0.0551  0.0573  0.0457  0.04
Schilhawsky 1960   34  0.4558  0.0027  0.0730  0.2178  0.0333  0.08
Shebanova 2002   50  0.4268  0.0066  0.0469  0.0484  0.0375  0.03
Smith 1975   10  0.5726  0.0010  0.126  0.5752  0.0514  0.17
Sokolov 2002   24  0.4985  0.0039  0.0439  0.0972  0.0343  0.05
Sztompka 1959   65  0.3686  0.0077  0.0377  0.0380  0.0469  0.03
Tomsic 1995   58  0.4038  0.0056  0.0467  0.0480  0.0366  0.03
Uninsky 1932   82  0.2869  0.0084  0.0286  0.0281  0.0387  0.02
Uninsky 1971   74  0.3087  0.0085  0.0382  0.0380  0.0371  0.03
Wasowski 1980   83  0.2788  0.0086  0.0381  0.0387  0.0284  0.02
Zak 1937   38  0.4459  0.0049  0.0546  0.0586  0.0353  0.04
Zak 1951   41  0.4354  0.0034  0.0534  0.1179  0.0339  0.06
Random 1   89  -0.0860  0.0089  0.0289  0.0219  0.3636  0.08
Random 2   88  -0.0789  0.0088  0.0288  0.0233  0.1640  0.06
Random 3   90  -0.1090  0.0090  0.0190  0.0179  0.0290  0.01

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).