Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.3929  0.0032  0.0732  0.2933  0.2213  0.25
Anderszewski 2003   43  0.3256  0.0047  0.0651  0.0686  0.0270  0.03
Ashkenazy 1981   53  0.2857  0.0046  0.0558  0.0574  0.0361  0.04
Bacha 2000   52  0.2943  0.0042  0.0642  0.1352  0.0442  0.07
Badura 1965   56  0.2813  0.0062  0.0466  0.0476  0.0376  0.03
Barbosa 1983   57  0.2822  0.0048  0.0556  0.0574  0.0356  0.04
Biret 1990   17  0.4147  0.0022  0.1217  0.4769  0.0425  0.14
Blet 2003   20  0.397  0.0013  0.0813  0.5025  0.248  0.35
Block 1995   45  0.3158  0.0031  0.0826  0.3563  0.0431  0.12
Blumental 1952   7  0.4434  0.007  0.229  0.5937  0.199  0.33
Boshniakovich 1969   60  0.2748  0.0064  0.0469  0.0480  0.0377  0.03
Brailowsky 1960   5  0.505  0.005  0.325  0.7420  0.525  0.62
Bunin 1987   34  0.3473  0.0039  0.0640  0.1464  0.0445  0.07
Bunin 1987b   39  0.3335  0.0036  0.0836  0.2173  0.0436  0.09
Chiu 1999   51  0.2931  0.0049  0.0649  0.0666  0.0449  0.05
Cohen 1997   68  0.2432  0.0054  0.0652  0.0686  0.0278  0.03
Cortot 1951   72  0.2359  0.0070  0.0375  0.0361  0.0479  0.03
Csalog 1996   10  0.4474  0.008  0.1610  0.5741  0.1411  0.28
Czerny 1949   66  0.2475  0.0074  0.0468  0.0470  0.0458  0.04
Czerny 1990   44  0.3276  0.0034  0.0930  0.3185  0.0335  0.10
Duchoud 2007   82  0.1777  0.0079  0.0383  0.0370  0.0475  0.03
Ezaki 2006   29  0.3660  0.0033  0.0934  0.2757  0.0626  0.13
Falvay 1989   12  0.4316  0.0015  0.1015  0.4975  0.0420  0.14
Farrell 1958   64  0.2536  0.0063  0.0462  0.0482  0.0364  0.03
Ferenczy 1958   11  0.4317  0.0016  0.1211  0.5625  0.437  0.49
Fliere 1977   13  0.4337  0.0011  0.1319  0.4661  0.0518  0.15
Fou 1978   14  0.4133  0.0019  0.1314  0.5069  0.0421  0.14
Francois 1956   76  0.2261  0.0069  0.0376  0.0381  0.0380  0.03
Friedman 1923   59  0.2725  0.0045  0.0845  0.0857  0.0548  0.06
Friedman 1923b   58  0.2762  0.0044  0.0544  0.1058  0.0546  0.07
Friedman 1930   63  0.2630  0.0060  0.0465  0.0483  0.0373  0.03
Garcia 2007   73  0.2378  0.0076  0.0553  0.0576  0.0459  0.04
Garcia 2007b   69  0.2463  0.0067  0.0377  0.0383  0.0290  0.02
Gierzod 1998   28  0.3764  0.0021  0.1127  0.3473  0.0430  0.12
Gornostaeva 1994   54  0.288  0.0057  0.0557  0.0582  0.0362  0.04
Groot 1988   8  0.449  0.0010  0.168  0.5942  0.1014  0.24
Harasiewicz 1955   40  0.3265  0.0035  0.0835  0.2273  0.0438  0.09
Hatto 1993   19  0.4014  0.0018  0.1116  0.4781  0.0332  0.12
Hatto 1997   23  0.3979  0.0027  0.0723  0.3775  0.0429  0.12
Horowitz 1949   41  0.3220  0.0043  0.0643  0.1237  0.1722  0.14
Indjic 1988   21  0.3949  0.0024  0.1522  0.3981  0.0333  0.11
Kapell 1951   31  0.3566  0.0037  0.0639  0.1777  0.0344  0.07
Kissin 1993   83  0.1780  0.0084  0.0284  0.0287  0.0286  0.02
Kushner 1989   38  0.3350  0.0055  0.0555  0.0584  0.0355  0.04
Luisada 1991   24  0.3981  0.0030  0.0829  0.3147  0.0619  0.14
Lushtak 2004   61  0.2767  0.0056  0.0459  0.0474  0.0460  0.04
Malcuzynski 1961   32  0.3411  0.0026  0.0833  0.2873  0.0337  0.09
Magaloff 1978   16  0.4118  0.0023  0.1021  0.4446  0.0816  0.19
Magin 1975   18  0.4051  0.0028  0.1024  0.3683  0.0334  0.10
Michalowski 1933   77  0.2119  0.0065  0.0463  0.0461  0.0368  0.03
Milkina 1970   46  0.3052  0.0061  0.0461  0.0487  0.0265  0.03
Mohovich 1999   15  0.4123  0.0012  0.1012  0.5168  0.0424  0.14
Moravec 1969   26  0.3882  0.0020  0.1118  0.4646  0.0915  0.20
Morozova 2008   55  0.2883  0.0059  0.0467  0.0482  0.0372  0.03
Neighaus 1950   86  0.1544  0.0085  0.0285  0.0274  0.0389  0.02
Niedzielski 1931   48  0.2984  0.0025  0.0931  0.2928  0.2612  0.27
Ohlsson 1999   62  0.2668  0.0068  0.0374  0.0386  0.0285  0.02
Osinska 1989   37  0.3324  0.0040  0.0641  0.1371  0.0443  0.07
Pachmann 1927   84  0.1538  0.0087  0.0286  0.0283  0.0284  0.02
Paderewski 1930   85  0.1569  0.0086  0.0287  0.0274  0.0383  0.02
Perlemuter 1992   67  0.2421  0.0072  0.0554  0.0579  0.0351  0.04
Pierdomenico 2008   65  0.2515  0.0075  0.0470  0.0466  0.0453  0.04
Poblocka 1999   27  0.3785  0.0014  0.0920  0.4564  0.0617  0.16
Rabcewiczowa 1932   9  0.4426  0.009  0.177  0.6040  0.1310  0.28
Rachmaninoff 1923   6  0.456  0.006  0.276  0.6614  0.506  0.57
Rangell 2001   87  0.1386  0.0088  0.0288  0.0288  0.0288  0.02
Richter 1976   75  0.2242  0.0078  0.0379  0.0385  0.0282  0.02
Rosen 1989   47  0.3045  0.0050  0.0747  0.0757  0.0450  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   80  0.2127  0.0080  0.0378  0.0375  0.0363  0.03
Rubinstein 1939   36  0.3310  0.0051  0.0648  0.0675  0.0354  0.04
Rubinstein 1952   33  0.3470  0.0038  0.0637  0.2071  0.0341  0.08
Rubinstein 1966   49  0.2971  0.0066  0.0382  0.0384  0.0371  0.03
Schilhawsky 1960   25  0.3839  0.0029  0.0728  0.3446  0.0623  0.14
Shebanova 2002   74  0.2387  0.0073  0.0380  0.0386  0.0374  0.03
Smith 1975   30  0.3553  0.0017  0.1225  0.3566  0.0428  0.12
Sokolov 2002   50  0.2912  0.0053  0.0650  0.0668  0.0352  0.04
Sztompka 1959   81  0.1840  0.0082  0.0472  0.0483  0.0367  0.03
Tomsic 1995   78  0.2146  0.0081  0.0373  0.0381  0.0366  0.03
Uninsky 1932   70  0.2354  0.0058  0.0460  0.0456  0.0457  0.04
Uninsky 1971   71  0.2388  0.0077  0.0464  0.0487  0.0269  0.03
Wasowski 1980   79  0.2141  0.0083  0.0381  0.0388  0.0281  0.02
Zak 1937   42  0.3228  0.0052  0.0846  0.0876  0.0447  0.06
Zak 1951   35  0.3389  0.0041  0.0738  0.1769  0.0439  0.08
Random 1   89  -0.0172  0.0089  0.0289  0.0225  0.3040  0.08
Random 2   88  0.0755  0.0071  0.0471  0.0411  0.4327  0.13
Random 3   90  -0.0590  0.0090  0.0190  0.0166  0.0387  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).