Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.3653  0.0052  0.0474  0.0445  0.1046  0.06
Anderszewski 2003   24  0.3930  0.0023  0.0717  0.4556  0.0617  0.16
Ashkenazy 1981   60  0.3075  0.0057  0.0470  0.0459  0.0377  0.03
Bacha 2000   66  0.2840  0.0061  0.0554  0.0563  0.0352  0.04
Badura 1965   51  0.3257  0.0051  0.0475  0.0466  0.0466  0.04
Barbosa 1983   42  0.3454  0.0039  0.0837  0.1870  0.0438  0.08
Biret 1990   31  0.3744  0.0034  0.0733  0.2566  0.0434  0.10
Blet 2003   34  0.3722  0.0032  0.0634  0.2545  0.1018  0.16
Block 1995   26  0.3910  0.0013  0.2210  0.5332  0.278  0.38
Blumental 1952   22  0.4037  0.0012  0.1514  0.4854  0.0615  0.17
Boshniakovich 1969   55  0.3167  0.0049  0.0468  0.0466  0.0468  0.04
Brailowsky 1960   6  0.4912  0.007  0.335  0.7117  0.545  0.62
Bunin 1987   44  0.3338  0.0048  0.0467  0.0471  0.0469  0.04
Bunin 1987b   53  0.3276  0.0056  0.0556  0.0561  0.0550  0.05
Chiu 1999   73  0.2568  0.0069  0.0647  0.0672  0.0355  0.04
Cohen 1997   68  0.2769  0.0040  0.0544  0.1177  0.0347  0.06
Cortot 1951   82  0.1877  0.0086  0.0282  0.0278  0.0389  0.02
Csalog 1996   15  0.419  0.0014  0.1213  0.5043  0.1311  0.25
Czerny 1949   71  0.2658  0.0074  0.0555  0.0574  0.0365  0.04
Czerny 1990   30  0.3878  0.0028  0.1123  0.4165  0.0429  0.13
Duchoud 2007   87  0.1379  0.0081  0.0285  0.0280  0.0285  0.02
Ezaki 2006   23  0.4039  0.0029  0.0729  0.3570  0.0526  0.13
Falvay 1989   8  0.465  0.0111  0.1411  0.5268  0.0422  0.14
Farrell 1958   46  0.3213  0.0044  0.0443  0.1178  0.0441  0.07
Ferenczy 1958   25  0.3959  0.0022  0.0820  0.4238  0.2210  0.30
Fliere 1977   14  0.4141  0.0018  0.0821  0.4264  0.0520  0.14
Fou 1978   10  0.4416  0.0019  0.1015  0.4765  0.0423  0.14
Francois 1956   86  0.1580  0.0080  0.0287  0.0287  0.0290  0.02
Friedman 1923   67  0.2770  0.0053  0.0476  0.0468  0.0471  0.04
Friedman 1923b   64  0.2881  0.0047  0.0462  0.0475  0.0470  0.04
Friedman 1930   72  0.2545  0.0054  0.0464  0.0460  0.0563  0.04
Garcia 2007   85  0.1660  0.0082  0.0288  0.0288  0.0286  0.02
Garcia 2007b   77  0.2247  0.0072  0.0469  0.0480  0.0380  0.03
Gierzod 1998   19  0.4082  0.0016  0.1126  0.3980  0.0332  0.11
Gornostaeva 1994   47  0.3283  0.0055  0.0463  0.0489  0.0278  0.03
Groot 1988   28  0.3818  0.0015  0.1316  0.4750  0.0616  0.17
Harasiewicz 1955   33  0.3720  0.0033  0.0730  0.3483  0.0335  0.10
Hatto 1993   17  0.4184  0.0020  0.0819  0.4462  0.0430  0.13
Hatto 1997   21  0.4085  0.0026  0.0924  0.4060  0.0428  0.13
Horowitz 1949   45  0.3242  0.0043  0.0545  0.1033  0.2419  0.15
Indjic 1988   20  0.4028  0.0025  0.0722  0.4178  0.0331  0.11
Kapell 1951   36  0.3617  0.0045  0.0642  0.1270  0.0442  0.07
Kissin 1993   69  0.2671  0.0073  0.0472  0.0485  0.0375  0.03
Kushner 1989   32  0.3726  0.0036  0.0736  0.2181  0.0337  0.08
Luisada 1991   39  0.358  0.0064  0.0746  0.0783  0.0348  0.05
Lushtak 2004   38  0.3631  0.0024  0.0725  0.3954  0.0524  0.14
Malcuzynski 1961   56  0.3149  0.0038  0.0641  0.1376  0.0345  0.06
Magaloff 1978   16  0.4123  0.0027  0.0928  0.3757  0.0521  0.14
Magin 1975   11  0.4350  0.0017  0.0918  0.4566  0.0427  0.13
Michalowski 1933   84  0.1786  0.0087  0.0283  0.0287  0.0284  0.02
Milkina 1970   41  0.3472  0.0062  0.0460  0.0485  0.0373  0.03
Mohovich 1999   18  0.4014  0.0021  0.0827  0.3954  0.0525  0.14
Moravec 1969   7  0.4735  0.005  0.209  0.5523  0.417  0.47
Morozova 2008   52  0.3287  0.0058  0.0466  0.0467  0.0562  0.04
Neighaus 1950   81  0.1961  0.0077  0.0477  0.0478  0.0379  0.03
Niedzielski 1931   61  0.2934  0.0030  0.0735  0.2135  0.1713  0.19
Ohlsson 1999   58  0.3124  0.0065  0.0550  0.0580  0.0361  0.04
Osinska 1989   35  0.3711  0.0035  0.0932  0.2779  0.0336  0.09
Pachmann 1927   80  0.2088  0.0084  0.0380  0.0381  0.0283  0.02
Paderewski 1930   88  0.1389  0.0088  0.0381  0.0380  0.0374  0.03
Perlemuter 1992   74  0.2425  0.0079  0.0379  0.0384  0.0281  0.02
Pierdomenico 2008   78  0.2173  0.0085  0.0284  0.0286  0.0282  0.02
Poblocka 1999   12  0.427  0.0110  0.1912  0.5149  0.0912  0.21
Rabcewiczowa 1932   9  0.4536  0.009  0.208  0.6038  0.159  0.30
Rachmaninoff 1923   13  0.4132  0.008  0.297  0.6125  0.436  0.51
Rangell 2001   83  0.1762  0.0083  0.0286  0.0283  0.0288  0.02
Richter 1976   62  0.2948  0.0067  0.0551  0.0577  0.0359  0.04
Rosen 1989   49  0.3233  0.0063  0.0552  0.0556  0.0467  0.04
Rosenthal 1930   4  0.676  0.014  0.784  0.864  0.854  0.85
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.791  0.791  0.781  0.942  0.942  0.94
Rosenthal 1931c   3  0.732  0.083  0.663  0.893  0.913  0.90
Rosenthal 1931d   2  0.753  0.062  0.642  0.932  0.951  0.94
Rossi 2007   79  0.2163  0.0078  0.0378  0.0372  0.0472  0.03
Rubinstein 1939   57  0.3190  0.0068  0.0549  0.0579  0.0357  0.04
Rubinstein 1952   27  0.3891  0.0031  0.0631  0.2863  0.0433  0.11
Rubinstein 1966   29  0.3864  0.0042  0.0540  0.1371  0.0443  0.07
Schilhawsky 1960   40  0.3551  0.0041  0.0538  0.1665  0.0439  0.08
Shebanova 2002   76  0.2365  0.0075  0.0465  0.0477  0.0464  0.04
Smith 1975   43  0.3319  0.0050  0.0558  0.0570  0.0456  0.04
Sokolov 2002   48  0.3255  0.0046  0.0461  0.0461  0.0454  0.04
Sztompka 1959   75  0.2446  0.0070  0.0553  0.0578  0.0460  0.04
Tomsic 1995   59  0.3066  0.0066  0.0473  0.0457  0.0651  0.05
Uninsky 1932   63  0.2952  0.0037  0.0639  0.1467  0.0444  0.07
Uninsky 1971   70  0.2674  0.0071  0.0459  0.0487  0.0376  0.03
Wasowski 1980   65  0.2827  0.0076  0.0557  0.0581  0.0453  0.04
Zak 1937   54  0.3215  0.0060  0.0648  0.0674  0.0449  0.05
Zak 1951   50  0.324  0.0159  0.0471  0.0475  0.0458  0.04
Average   5  0.5529  0.006  0.216  0.7167  0.0414  0.17
Random 1   90  -0.0743  0.0090  0.0190  0.0150  0.0487  0.02
Random 2   89  0.0356  0.0089  0.0289  0.0224  0.2940  0.08
Random 3   91  -0.1321  0.0091  0.0191  0.0179  0.0291  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).