Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.3930  0.0033  0.0733  0.2934  0.2213  0.25
Anderszewski 2003   44  0.3256  0.0048  0.0652  0.0687  0.0270  0.03
Ashkenazy 1981   54  0.2857  0.0047  0.0559  0.0575  0.0362  0.04
Bacha 2000   53  0.2943  0.0043  0.0643  0.1353  0.0443  0.07
Badura 1965   57  0.2812  0.0063  0.0467  0.0477  0.0376  0.03
Barbosa 1983   58  0.2821  0.0049  0.0557  0.0575  0.0357  0.04
Biret 1990   18  0.4158  0.0023  0.1218  0.4770  0.0426  0.14
Blet 2003   21  0.397  0.0014  0.0814  0.5026  0.248  0.35
Block 1995   46  0.3159  0.0032  0.0827  0.3564  0.0432  0.12
Blumental 1952   8  0.4435  0.008  0.2210  0.5938  0.199  0.33
Boshniakovich 1969   61  0.2747  0.0065  0.0470  0.0481  0.0377  0.03
Brailowsky 1960   6  0.505  0.005  0.295  0.7421  0.525  0.62
Bunin 1987   35  0.3474  0.0040  0.0641  0.1465  0.0446  0.07
Bunin 1987b   40  0.3336  0.0037  0.0837  0.2174  0.0437  0.09
Chiu 1999   52  0.2932  0.0050  0.0650  0.0667  0.0450  0.05
Cohen 1997   69  0.2433  0.0055  0.0553  0.0587  0.0278  0.03
Cortot 1951   73  0.2360  0.0071  0.0376  0.0362  0.0480  0.03
Csalog 1996   11  0.4475  0.009  0.1611  0.5742  0.1411  0.28
Czerny 1949   67  0.2476  0.0075  0.0469  0.0471  0.0459  0.04
Czerny 1990   45  0.3277  0.0035  0.0931  0.3186  0.0336  0.10
Duchoud 2007   83  0.1778  0.0080  0.0384  0.0371  0.0375  0.03
Ezaki 2006   30  0.3661  0.0034  0.0935  0.2758  0.0528  0.12
Falvay 1989   13  0.4316  0.0016  0.1016  0.4976  0.0420  0.14
Farrell 1958   65  0.2548  0.0064  0.0463  0.0483  0.0364  0.03
Ferenczy 1958   12  0.4317  0.0017  0.1212  0.5626  0.437  0.49
Fliere 1977   14  0.4337  0.0012  0.1320  0.4662  0.0518  0.15
Fou 1978   15  0.4134  0.0020  0.1215  0.5070  0.0421  0.14
Francois 1956   77  0.2262  0.0070  0.0377  0.0382  0.0381  0.03
Friedman 1923   60  0.2726  0.0046  0.0846  0.0858  0.0549  0.06
Friedman 1923b   59  0.2763  0.0045  0.0545  0.1059  0.0547  0.07
Friedman 1930   64  0.2631  0.0061  0.0466  0.0484  0.0373  0.03
Garcia 2007   74  0.2379  0.0077  0.0554  0.0577  0.0360  0.04
Garcia 2007b   70  0.2464  0.0068  0.0378  0.0384  0.0291  0.02
Gierzod 1998   29  0.3765  0.0022  0.1128  0.3474  0.0431  0.12
Gornostaeva 1994   55  0.288  0.0058  0.0558  0.0583  0.0279  0.03
Groot 1988   9  0.449  0.0011  0.169  0.5943  0.1014  0.24
Harasiewicz 1955   41  0.3266  0.0036  0.0836  0.2274  0.0439  0.09
Hatto 1993   20  0.4013  0.0019  0.1117  0.4782  0.0333  0.12
Hatto 1997   24  0.3980  0.0028  0.0724  0.3776  0.0430  0.12
Horowitz 1949   42  0.3219  0.0044  0.0644  0.1238  0.1722  0.14
Indjic 1988   22  0.3949  0.0025  0.1523  0.3982  0.0334  0.11
Kapell 1951   32  0.3567  0.0038  0.0640  0.1778  0.0345  0.07
Kissin 1993   84  0.1781  0.0085  0.0285  0.0288  0.0287  0.02
Kushner 1989   39  0.3350  0.0056  0.0556  0.0585  0.0356  0.04
Luisada 1991   25  0.3982  0.0031  0.0730  0.3148  0.0619  0.14
Lushtak 2004   62  0.2768  0.0057  0.0460  0.0475  0.0461  0.04
Malcuzynski 1961   33  0.3411  0.0027  0.0834  0.2874  0.0338  0.09
Magaloff 1978   17  0.4120  0.0024  0.1022  0.4447  0.0816  0.19
Magin 1975   19  0.4051  0.0029  0.0925  0.3684  0.0335  0.10
Michalowski 1933   78  0.2118  0.0066  0.0464  0.0462  0.0368  0.03
Milkina 1970   47  0.3052  0.0062  0.0462  0.0488  0.0265  0.03
Mohovich 1999   16  0.4122  0.0013  0.1013  0.5169  0.0425  0.14
Moravec 1969   27  0.3883  0.0021  0.1019  0.4647  0.0915  0.20
Morozova 2008   56  0.2884  0.0060  0.0468  0.0483  0.0372  0.03
Neighaus 1950   87  0.1544  0.0086  0.0286  0.0275  0.0390  0.02
Niedzielski 1931   49  0.2985  0.0026  0.0932  0.2929  0.2612  0.27
Ohlsson 1999   63  0.2669  0.0069  0.0375  0.0387  0.0286  0.02
Osinska 1989   38  0.3323  0.0041  0.0642  0.1372  0.0444  0.07
Pachmann 1927   85  0.1538  0.0088  0.0287  0.0284  0.0285  0.02
Paderewski 1930   86  0.1570  0.0087  0.0288  0.0275  0.0384  0.02
Perlemuter 1992   68  0.2424  0.0073  0.0555  0.0580  0.0352  0.04
Pierdomenico 2008   66  0.2515  0.0076  0.0471  0.0467  0.0454  0.04
Poblocka 1999   28  0.3786  0.0015  0.0921  0.4565  0.0617  0.16
Rabcewiczowa 1932   10  0.4427  0.0010  0.178  0.6041  0.1310  0.28
Rachmaninoff 1923   7  0.456  0.007  0.267  0.6615  0.506  0.57
Rangell 2001   88  0.1387  0.0089  0.0289  0.0289  0.0289  0.02
Richter 1976   76  0.2242  0.0079  0.0380  0.0386  0.0283  0.02
Rosen 1989   48  0.3045  0.0051  0.0748  0.0758  0.0451  0.05
Rosenthal 1930   4  0.694  0.034  0.814  0.902  0.874  0.88
Rosenthal 1931   3  0.753  0.073  0.842  0.952  0.932  0.94
Rosenthal 1931b   1  0.791  0.671  0.661  0.951  0.951  0.95
Rosenthal 1931c   2  0.752  0.212  0.573  0.942  0.943  0.94
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   81  0.2128  0.0081  0.0379  0.0376  0.0363  0.03
Rubinstein 1939   37  0.3310  0.0052  0.0649  0.0676  0.0355  0.04
Rubinstein 1952   34  0.3471  0.0039  0.0638  0.2072  0.0342  0.08
Rubinstein 1966   50  0.2972  0.0067  0.0383  0.0385  0.0371  0.03
Schilhawsky 1960   26  0.3839  0.0030  0.0729  0.3447  0.0623  0.14
Shebanova 2002   75  0.2388  0.0074  0.0381  0.0387  0.0374  0.03
Smith 1975   31  0.3553  0.0018  0.1226  0.3567  0.0429  0.12
Sokolov 2002   51  0.2914  0.0054  0.0651  0.0669  0.0353  0.04
Sztompka 1959   82  0.1840  0.0083  0.0473  0.0484  0.0367  0.03
Tomsic 1995   79  0.2146  0.0082  0.0374  0.0382  0.0366  0.03
Uninsky 1932   71  0.2354  0.0059  0.0461  0.0457  0.0458  0.04
Uninsky 1971   72  0.2389  0.0078  0.0465  0.0488  0.0269  0.03
Wasowski 1980   80  0.2141  0.0084  0.0382  0.0389  0.0282  0.02
Zak 1937   43  0.3229  0.0053  0.0847  0.0877  0.0448  0.06
Zak 1951   36  0.3390  0.0042  0.0739  0.1770  0.0440  0.08
Average   5  0.5325  0.006  0.296  0.7083  0.0324  0.14
Random 1   90  -0.0173  0.0090  0.0290  0.0225  0.3241  0.08
Random 2   89  0.0755  0.0072  0.0472  0.0411  0.4327  0.13
Random 3   91  -0.0591  0.0091  0.0191  0.0165  0.0388  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).