Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.4456  0.0029  0.0823  0.3684  0.0329  0.10
Anderszewski 2003   30  0.4417  0.0037  0.0832  0.2782  0.0333  0.09
Ashkenazy 1981   44  0.3923  0.0022  0.0824  0.3577  0.0330  0.10
Bacha 2000   39  0.408  0.0021  0.0731  0.2777  0.0331  0.09
Badura 1965   87  0.2316  0.0078  0.0283  0.0278  0.0387  0.02
Barbosa 1983   88  0.2024  0.0063  0.0467  0.0488  0.0273  0.03
Biret 1990   13  0.505  0.0016  0.1014  0.5456  0.0518  0.16
Blet 2003   45  0.3930  0.0047  0.0562  0.0584  0.0274  0.03
Block 1995   82  0.2820  0.0074  0.0465  0.0488  0.0278  0.03
Blumental 1952   16  0.4912  0.0010  0.187  0.6578  0.0417  0.16
Boshniakovich 1969   55  0.3546  0.0075  0.0380  0.0388  0.0289  0.02
Brailowsky 1960   20  0.4757  0.0019  0.1116  0.5034  0.289  0.37
Bunin 1987   84  0.2569  0.0083  0.0288  0.0279  0.0391  0.02
Bunin 1987b   85  0.2570  0.0084  0.0376  0.0378  0.0368  0.03
Chiu 1999   83  0.2671  0.0062  0.0470  0.0468  0.0451  0.04
Cohen 1997   78  0.2847  0.0025  0.0738  0.1834  0.1912  0.18
Cortot 1951   72  0.3158  0.0081  0.0374  0.0384  0.0382  0.03
Csalog 1996   24  0.4611  0.0030  0.0727  0.2955  0.0524  0.12
Czerny 1949   51  0.3759  0.0059  0.0560  0.0587  0.0276  0.03
Czerny 1990   17  0.4972  0.0011  0.1913  0.5562  0.0514  0.17
Duchoud 2007   77  0.2973  0.0061  0.0564  0.0573  0.0459  0.04
Ezaki 2006   31  0.4332  0.0024  0.0922  0.4182  0.0325  0.11
Falvay 1989   21  0.4774  0.0020  0.1619  0.4751  0.0710  0.18
Farrell 1958   60  0.3575  0.0045  0.0545  0.1086  0.0347  0.05
Ferenczy 1958   57  0.3533  0.0069  0.0558  0.0573  0.0358  0.04
Fliere 1977   14  0.4913  0.0018  0.1020  0.4582  0.0322  0.12
Fou 1978   35  0.4231  0.0028  0.0825  0.3159  0.0523  0.12
Francois 1956   50  0.3748  0.0050  0.0647  0.0673  0.0449  0.05
Friedman 1923   71  0.3114  0.0070  0.0557  0.0584  0.0364  0.04
Friedman 1923b   69  0.316  0.0066  0.0563  0.0584  0.0361  0.04
Friedman 1930   53  0.3660  0.0060  0.0561  0.0579  0.0457  0.04
Garcia 2007   65  0.3337  0.0072  0.0377  0.0383  0.0377  0.03
Garcia 2007b   58  0.3561  0.0071  0.0469  0.0476  0.0463  0.04
Gierzod 1998   23  0.4776  0.0035  0.0730  0.2879  0.0334  0.09
Gornostaeva 1994   10  0.5377  0.0013  0.1811  0.5950  0.0419  0.15
Groot 1988   43  0.3940  0.0026  0.0829  0.2888  0.0337  0.09
Harasiewicz 1955   56  0.3549  0.0052  0.0559  0.0566  0.0462  0.04
Hatto 1993   76  0.3050  0.0065  0.0466  0.0479  0.0381  0.03
Hatto 1997   73  0.3041  0.0068  0.0471  0.0481  0.0375  0.03
Horowitz 1949   67  0.3262  0.0077  0.0378  0.0389  0.0285  0.02
Indjic 1988   74  0.3063  0.0067  0.0473  0.0479  0.0372  0.03
Kapell 1951   19  0.4764  0.0034  0.0535  0.2577  0.0427  0.10
Kissin 1993   38  0.4151  0.0048  0.0550  0.0577  0.0355  0.04
Kushner 1989   18  0.4842  0.0032  0.0626  0.3183  0.0326  0.10
Luisada 1991   49  0.3722  0.0049  0.0648  0.0672  0.0446  0.05
Lushtak 2004   68  0.3252  0.0046  0.0649  0.0677  0.0360  0.04
Malcuzynski 1961   25  0.4518  0.0033  0.0633  0.2770  0.0428  0.10
Magaloff 1978   11  0.5165  0.0017  0.1017  0.5053  0.0515  0.16
Magin 1975   9  0.539  0.0012  0.158  0.6584  0.0320  0.14
Michalowski 1933   40  0.4015  0.0044  0.0643  0.1273  0.0345  0.06
Milkina 1970   12  0.5038  0.0023  0.0821  0.4275  0.0421  0.13
Mohovich 1999   33  0.4353  0.0040  0.0637  0.1971  0.0436  0.09
Moravec 1969   5  0.5878  0.005  0.369  0.659  0.605  0.62
Morozova 2008   59  0.3543  0.0055  0.0551  0.0580  0.0356  0.04
Neighaus 1950   63  0.3379  0.0076  0.0379  0.0384  0.0380  0.03
Niedzielski 1931   22  0.4710  0.009  0.1810  0.6127  0.307  0.43
Ohlsson 1999   54  0.3680  0.0058  0.0556  0.0582  0.0354  0.04
Osinska 1989   29  0.4454  0.0039  0.0739  0.1887  0.0339  0.07
Pachmann 1927   70  0.3134  0.0087  0.0382  0.0382  0.0286  0.02
Paderewski 1930   62  0.3425  0.0073  0.0375  0.0384  0.0370  0.03
Perlemuter 1992   61  0.3481  0.0054  0.0553  0.0584  0.0350  0.04
Pierdomenico 2008   75  0.3082  0.0079  0.0286  0.0277  0.0467  0.03
Poblocka 1999   37  0.4121  0.0053  0.0555  0.0588  0.0265  0.03
Rabcewiczowa 1932   7  0.5526  0.007  0.2612  0.5923  0.308  0.42
Rachmaninoff 1923   8  0.5319  0.006  0.296  0.6923  0.326  0.47
Rangell 2001   66  0.3283  0.0080  0.0381  0.0385  0.0379  0.03
Richter 1976   86  0.2466  0.0088  0.0472  0.0489  0.0269  0.03
Rosen 1989   26  0.4435  0.0031  0.0734  0.2785  0.0335  0.09
Rosenthal 1930   4  0.794  0.014  0.814  0.932  0.924  0.92
Rosenthal 1931   1  0.921  0.681  0.672  0.961  0.962  0.96
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.883  0.093  0.843  0.952  0.963  0.95
Rosenthal 1931d   2  0.902  0.202  0.721  0.971  0.971  0.97
Rossi 2007   64  0.3327  0.0064  0.0468  0.0487  0.0366  0.03
Rubinstein 1939   42  0.3939  0.0041  0.0640  0.1850  0.0532  0.09
Rubinstein 1952   28  0.4428  0.0015  0.1518  0.4747  0.0713  0.18
Rubinstein 1966   41  0.4084  0.0051  0.0846  0.0886  0.0348  0.05
Schilhawsky 1960   46  0.3985  0.0027  0.0736  0.2283  0.0338  0.08
Shebanova 2002   36  0.4286  0.0042  0.0642  0.1684  0.0343  0.07
Smith 1975   15  0.4944  0.0014  0.2115  0.5357  0.0516  0.16
Sokolov 2002   32  0.4367  0.0036  0.0828  0.2888  0.0240  0.07
Sztompka 1959   34  0.4255  0.0043  0.0741  0.1682  0.0341  0.07
Tomsic 1995   81  0.2868  0.0085  0.0287  0.0288  0.0284  0.02
Uninsky 1932   52  0.3636  0.0038  0.0644  0.1276  0.0442  0.07
Uninsky 1971   79  0.2887  0.0086  0.0285  0.0284  0.0471  0.03
Wasowski 1980   80  0.2888  0.0082  0.0284  0.0284  0.0383  0.02
Zak 1937   47  0.3889  0.0056  0.0554  0.0587  0.0352  0.04
Zak 1951   48  0.377  0.0057  0.0552  0.0587  0.0353  0.04
Average   6  0.5829  0.008  0.325  0.7772  0.0411  0.18
Random 1   90  -0.1145  0.0090  0.0290  0.0264  0.0388  0.02
Random 2   89  -0.0390  0.0089  0.0289  0.0228  0.2444  0.07
Random 3   91  -0.1291  0.0091  0.0191  0.0181  0.0390  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).