Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.3170  0.0081  0.0284  0.0259  0.0488  0.03
Anderszewski 2003   57  0.3875  0.0046  0.0554  0.0548  0.0872  0.06
Ashkenazy 1981   75  0.3261  0.0064  0.0464  0.0425  0.2758  0.10
Bacha 2000   67  0.3564  0.0071  0.0469  0.0440  0.1865  0.08
Badura 1965   73  0.3324  0.0170  0.0470  0.0442  0.1073  0.06
Barbosa 1983   23  0.4625  0.018  0.148  0.4827  0.3816  0.43
Biret 1990   4  0.512  0.112  0.275  0.5415  0.505  0.52
Blet 2003   87  0.2384  0.0086  0.0377  0.0365  0.0487  0.03
Block 1995   47  0.4110  0.0227  0.0925  0.3214  0.5019  0.40
Blumental 1952   11  0.4827  0.009  0.1111  0.4526  0.4712  0.46
Boshniakovich 1969   51  0.4030  0.0050  0.0552  0.0548  0.0774  0.06
Brailowsky 1960   63  0.3757  0.0049  0.0645  0.0641  0.1951  0.11
Bunin 1987   34  0.4471  0.0053  0.0559  0.0520  0.3245  0.13
Bunin 1987b   42  0.4251  0.0054  0.0555  0.0527  0.2848  0.12
Chiu 1999   53  0.4039  0.0041  0.0542  0.1117  0.3839  0.20
Cohen 1997   68  0.3466  0.0073  0.0375  0.0325  0.2168  0.08
Cortot 1951   79  0.3067  0.0080  0.0380  0.0325  0.3854  0.11
Csalog 1996   58  0.3848  0.0057  0.0646  0.0649  0.0671  0.06
Czerny 1949   31  0.4444  0.0051  0.0462  0.0442  0.1666  0.08
Czerny 1990   40  0.4358  0.0039  0.0639  0.1452  0.0664  0.09
Duchoud 2007   70  0.3359  0.0075  0.0376  0.0321  0.4550  0.12
Ezaki 2006   19  0.4633  0.0029  0.0626  0.3242  0.1737  0.23
Falvay 1989   29  0.4412  0.0126  0.0822  0.3641  0.1932  0.26
Farrell 1958   10  0.4962  0.0018  0.0716  0.4116  0.568  0.48
Ferenczy 1958   74  0.3340  0.0076  0.0372  0.0351  0.0683  0.04
Fliere 1977   2  0.521  0.281  0.283  0.5711  0.523  0.54
Fou 1978   39  0.4377  0.0033  0.0730  0.2829  0.2730  0.27
Francois 1956   80  0.2968  0.0059  0.0463  0.0427  0.2955  0.11
Friedman 1923   84  0.2685  0.0082  0.0379  0.0339  0.1375  0.06
Friedman 1923b   85  0.2553  0.0078  0.0382  0.0341  0.1669  0.07
Friedman 1930   69  0.3460  0.0061  0.0465  0.0425  0.3549  0.12
Garcia 2007   33  0.4437  0.0052  0.0551  0.0512  0.5142  0.16
Garcia 2007b   14  0.4835  0.0023  0.0923  0.349  0.5914  0.45
Gierzod 1998   8  0.5023  0.0113  0.0814  0.4340  0.2127  0.30
Gornostaeva 1994   9  0.4946  0.0020  0.0818  0.4118  0.4517  0.43
Groot 1988   54  0.3943  0.0025  0.0932  0.2425  0.2833  0.26
Harasiewicz 1955   17  0.478  0.0212  0.089  0.4837  0.3420  0.40
Hatto 1993   25  0.4529  0.0019  0.0720  0.3931  0.3122  0.35
Hatto 1997   37  0.4347  0.0031  0.0631  0.2737  0.2235  0.24
Horowitz 1949   83  0.2681  0.0087  0.0371  0.0360  0.0581  0.04
Indjic 1988   35  0.4414  0.0128  0.0628  0.3137  0.2331  0.27
Kapell 1951   1  0.574  0.083  0.201  0.5915  0.581  0.58
Kissin 1993   77  0.3172  0.0077  0.0283  0.0264  0.0586  0.03
Kushner 1989   5  0.513  0.114  0.202  0.5926  0.417  0.49
Luisada 1991   78  0.3036  0.0084  0.0381  0.0371  0.0484  0.03
Lushtak 2004   13  0.4811  0.017  0.117  0.5020  0.506  0.50
Malcuzynski 1961   3  0.5221  0.0110  0.116  0.5126  0.4211  0.46
Magaloff 1978   18  0.4742  0.0034  0.0734  0.2429  0.3628  0.29
Magin 1975   22  0.4622  0.0124  0.0915  0.4122  0.4418  0.42
Michalowski 1933   86  0.2419  0.0185  0.0285  0.0217  0.4361  0.09
Milkina 1970   26  0.4549  0.0036  0.0827  0.3145  0.0841  0.16
Mohovich 1999   48  0.4073  0.0043  0.0541  0.1251  0.0567  0.08
Moravec 1969   6  0.5132  0.0016  0.0813  0.4416  0.509  0.47
Morozova 2008   38  0.4338  0.0045  0.0460  0.0432  0.2557  0.10
Neighaus 1950   60  0.3718  0.0166  0.0373  0.0316  0.4353  0.11
Niedzielski 1931   82  0.2763  0.0083  0.0286  0.0264  0.0585  0.03
Ohlsson 1999   71  0.3378  0.0072  0.0374  0.0356  0.0582  0.04
Osinska 1989   30  0.4450  0.0037  0.0735  0.2046  0.0747  0.12
Pachmann 1927   50  0.405  0.0811  0.0938  0.156  0.5924  0.30
Paderewski 1930   81  0.2817  0.0179  0.0287  0.0233  0.1870  0.06
Perlemuter 1992   64  0.3715  0.0163  0.0461  0.0419  0.4144  0.13
Pierdomenico 2008   66  0.3576  0.0074  0.0378  0.0335  0.2859  0.09
Poblocka 1999   21  0.4654  0.0035  0.0833  0.2440  0.2038  0.22
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   46  0.416  0.066  0.1417  0.4113  0.5110  0.46
Rangell 2001   41  0.4326  0.0158  0.0647  0.0632  0.2846  0.13
Richter 1976   59  0.3886  0.0065  0.0553  0.0547  0.0679  0.05
Rosen 1989   44  0.4282  0.0044  0.0544  0.1026  0.3440  0.18
Rosenthal 1930   20  0.4634  0.0017  0.0824  0.3412  0.5615  0.44
Rosenthal 1931   27  0.4513  0.0138  0.0737  0.157  0.6025  0.30
Rosenthal 1931b   55  0.3941  0.0048  0.0549  0.0511  0.5343  0.16
Rosenthal 1931c   12  0.4816  0.0115  0.0812  0.448  0.634  0.53
Rosenthal 1931d   32  0.4445  0.0040  0.0440  0.137  0.6029  0.28
Rossi 2007   62  0.3720  0.0169  0.0467  0.0429  0.2756  0.10
Rubinstein 1939   7  0.517  0.045  0.164  0.568  0.582  0.57
Rubinstein 1952   15  0.4865  0.0014  0.1110  0.4530  0.3321  0.39
Rubinstein 1966   16  0.4752  0.0022  0.0719  0.4040  0.2326  0.30
Schilhawsky 1960   24  0.469  0.0221  0.0721  0.369  0.5613  0.45
Shebanova 2002   28  0.4555  0.0030  0.0629  0.2919  0.4123  0.34
Smith 1975   65  0.3679  0.0056  0.0550  0.0538  0.2452  0.11
Sokolov 2002   72  0.3380  0.0067  0.0468  0.0457  0.0580  0.04
Sztompka 1959   49  0.4056  0.0060  0.0466  0.0438  0.2260  0.09
Tomsic 1995   56  0.3989  0.0068  0.0557  0.0572  0.0578  0.05
Uninsky 1932   43  0.4228  0.0042  0.0443  0.1122  0.5136  0.24
Uninsky 1971   45  0.4169  0.0047  0.0558  0.0543  0.1662  0.09
Wasowski 1980   36  0.4431  0.0032  0.0736  0.1727  0.3834  0.25
Zak 1937   61  0.3790  0.0062  0.0556  0.0555  0.0576  0.05
Zak 1951   52  0.4087  0.0055  0.0648  0.0662  0.0477  0.05
Random 1   89  -0.0188  0.0088  0.0288  0.0216  0.3763  0.09
Random 2   88  0.0274  0.0090  0.0190  0.0165  0.0389  0.02
Random 3   90  -0.0683  0.0089  0.0189  0.0147  0.0590  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).