Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.3971  0.0062  0.0550  0.0570  0.0359  0.04
Anderszewski 2003   21  0.5144  0.0016  0.0822  0.3375  0.0328  0.10
Ashkenazy 1981   53  0.4111  0.0059  0.0458  0.0479  0.0380  0.03
Bacha 2000   38  0.4478  0.0048  0.0555  0.0565  0.0543  0.05
Badura 1965   87  0.2223  0.0076  0.0380  0.0385  0.0290  0.02
Barbosa 1983   88  0.1779  0.0074  0.0376  0.0388  0.0287  0.02
Biret 1990   27  0.4827  0.0042  0.0443  0.0879  0.0442  0.06
Blet 2003   61  0.3861  0.0064  0.0548  0.0582  0.0356  0.04
Block 1995   54  0.4145  0.0047  0.0459  0.0482  0.0378  0.03
Blumental 1952   68  0.355  0.0034  0.0534  0.1187  0.0247  0.05
Boshniakovich 1969   48  0.4262  0.0054  0.0467  0.0481  0.0379  0.03
Brailowsky 1960   9  0.5880  0.007  0.2211  0.5218  0.396  0.45
Bunin 1987   71  0.3355  0.0073  0.0463  0.0459  0.0461  0.04
Bunin 1987b   72  0.3328  0.0072  0.0381  0.0357  0.0554  0.04
Chiu 1999   82  0.2846  0.0052  0.0549  0.0584  0.0351  0.04
Cohen 1997   74  0.3216  0.0045  0.0445  0.0822  0.2619  0.14
Cortot 1951   63  0.3747  0.0082  0.0384  0.0385  0.0383  0.03
Csalog 1996   65  0.3621  0.0070  0.0373  0.0361  0.0473  0.03
Czerny 1949   62  0.3814  0.0066  0.0465  0.0486  0.0377  0.03
Czerny 1990   28  0.4724  0.0031  0.0821  0.3363  0.0426  0.11
Duchoud 2007   67  0.3548  0.0069  0.0372  0.0387  0.0289  0.02
Ezaki 2006   26  0.486  0.0032  0.0928  0.2685  0.0331  0.09
Falvay 1989   18  0.5249  0.0010  0.1112  0.5032  0.337  0.41
Farrell 1958   30  0.4772  0.0030  0.0726  0.3150  0.0618  0.14
Ferenczy 1958   78  0.3034  0.0088  0.0371  0.0369  0.0475  0.03
Fliere 1977   14  0.5650  0.0021  0.0815  0.4578  0.0321  0.12
Fou 1978   22  0.5113  0.0012  0.1214  0.4747  0.0713  0.18
Francois 1956   33  0.4612  0.0043  0.0441  0.0988  0.0262  0.04
Friedman 1923   86  0.2230  0.0084  0.0285  0.0279  0.0484  0.03
Friedman 1923b   85  0.2339  0.0083  0.0288  0.0269  0.0581  0.03
Friedman 1930   73  0.3240  0.0068  0.0464  0.0478  0.0458  0.04
Garcia 2007   43  0.438  0.0060  0.0554  0.0567  0.0460  0.04
Garcia 2007b   64  0.3773  0.0056  0.0553  0.0557  0.0549  0.05
Gierzod 1998   17  0.5315  0.0033  0.0832  0.2087  0.0336  0.08
Gornostaeva 1994   6  0.6329  0.006  0.188  0.5426  0.298  0.40
Groot 1988   31  0.4617  0.0024  0.0823  0.3267  0.0427  0.11
Harasiewicz 1955   52  0.4222  0.0020  0.0824  0.3282  0.0330  0.10
Hatto 1993   81  0.2981  0.0079  0.0379  0.0382  0.0382  0.03
Hatto 1997   77  0.3056  0.0080  0.0377  0.0387  0.0374  0.03
Horowitz 1949   46  0.4318  0.0053  0.0551  0.0578  0.0355  0.04
Indjic 1988   79  0.2982  0.0081  0.0462  0.0483  0.0372  0.03
Kapell 1951   29  0.4774  0.0049  0.0456  0.0481  0.0365  0.03
Kissin 1993   23  0.5083  0.0017  0.0818  0.3760  0.0422  0.12
Kushner 1989   10  0.5884  0.0023  0.0927  0.2964  0.0425  0.11
Luisada 1991   37  0.4451  0.0036  0.0536  0.1087  0.0250  0.04
Lushtak 2004   69  0.3441  0.0041  0.0444  0.0878  0.0346  0.05
Malcuzynski 1961   12  0.5735  0.0022  0.0920  0.3548  0.0520  0.13
Magaloff 1978   5  0.6652  0.005  0.365  0.6313  0.425  0.51
Magin 1975   13  0.5757  0.0014  0.1113  0.4850  0.0516  0.15
Michalowski 1933   76  0.3019  0.0077  0.0286  0.0281  0.0386  0.02
Milkina 1970   8  0.6075  0.009  0.1110  0.5247  0.0711  0.19
Mohovich 1999   19  0.5263  0.0025  0.0719  0.3576  0.0329  0.10
Moravec 1969   20  0.519  0.0015  0.1016  0.3930  0.339  0.36
Morozova 2008   58  0.4053  0.0039  0.0437  0.1077  0.0345  0.05
Neighaus 1950   36  0.4442  0.0061  0.0746  0.0781  0.0448  0.05
Niedzielski 1931   41  0.4443  0.0044  0.0442  0.0861  0.0439  0.06
Ohlsson 1999   57  0.4085  0.0065  0.0460  0.0481  0.0370  0.03
Osinska 1989   32  0.4676  0.0058  0.0469  0.0483  0.0363  0.03
Pachmann 1927   50  0.4264  0.0046  0.0461  0.0441  0.1138  0.07
Paderewski 1930   40  0.4431  0.0063  0.0457  0.0474  0.0368  0.03
Perlemuter 1992   45  0.4310  0.0029  0.0725  0.3266  0.0423  0.11
Pierdomenico 2008   55  0.4136  0.0055  0.0466  0.0467  0.0452  0.04
Poblocka 1999   56  0.4177  0.0075  0.0374  0.0374  0.0464  0.03
Rabcewiczowa 1932   44  0.4325  0.0019  0.0929  0.2349  0.0524  0.11
Rachmaninoff 1923   16  0.5332  0.0013  0.139  0.5251  0.0515  0.16
Rangell 2001   24  0.5020  0.0026  0.0733  0.2053  0.0433  0.09
Richter 1976   70  0.3333  0.0071  0.0375  0.0378  0.0367  0.03
Rosen 1989   15  0.5437  0.0027  0.0730  0.2387  0.0337  0.08
Rosenthal 1930   4  0.764  0.004  0.584  0.853  0.824  0.83
Rosenthal 1931   1  0.981  0.611  0.601  0.991  0.991  0.99
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.873  0.013  0.853  0.951  0.933  0.94
Rosenthal 1931d   2  0.972  0.382  0.952  0.991  0.982  0.98
Rossi 2007   80  0.297  0.0038  0.0539  0.1048  0.0634  0.08
Rubinstein 1939   49  0.4265  0.0037  0.0438  0.1023  0.3112  0.18
Rubinstein 1952   34  0.4666  0.0018  0.0917  0.3837  0.2410  0.30
Rubinstein 1966   47  0.4367  0.0051  0.0552  0.0574  0.0457  0.04
Schilhawsky 1960   35  0.4558  0.0028  0.0731  0.2179  0.0335  0.08
Shebanova 2002   51  0.4268  0.0067  0.0370  0.0385  0.0376  0.03
Smith 1975   11  0.5726  0.0011  0.127  0.5753  0.0514  0.17
Sokolov 2002   25  0.4986  0.0040  0.0440  0.0973  0.0344  0.05
Sztompka 1959   66  0.3687  0.0078  0.0378  0.0381  0.0469  0.03
Tomsic 1995   59  0.4038  0.0057  0.0468  0.0481  0.0366  0.03
Uninsky 1932   83  0.2869  0.0085  0.0287  0.0282  0.0388  0.02
Uninsky 1971   75  0.3088  0.0086  0.0383  0.0381  0.0371  0.03
Wasowski 1980   84  0.2789  0.0087  0.0382  0.0388  0.0285  0.02
Zak 1937   39  0.4459  0.0050  0.0547  0.0587  0.0353  0.04
Zak 1951   42  0.4354  0.0035  0.0535  0.1180  0.0340  0.06
Average   7  0.6170  0.008  0.136  0.5958  0.0417  0.15
Random 1   90  -0.0860  0.0090  0.0290  0.0219  0.3732  0.09
Random 2   89  -0.0790  0.0089  0.0289  0.0232  0.1741  0.06
Random 3   91  -0.1091  0.0091  0.0191  0.0180  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).