Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.4455  0.0028  0.0822  0.3683  0.0328  0.10
Anderszewski 2003   29  0.4417  0.0036  0.0831  0.2781  0.0332  0.09
Ashkenazy 1981   43  0.3923  0.0021  0.0823  0.3576  0.0329  0.10
Bacha 2000   38  0.408  0.0020  0.0730  0.2776  0.0330  0.09
Badura 1965   86  0.2316  0.0077  0.0382  0.0377  0.0378  0.03
Barbosa 1983   87  0.2024  0.0062  0.0466  0.0487  0.0273  0.03
Biret 1990   12  0.505  0.0015  0.1013  0.5455  0.0517  0.16
Blet 2003   44  0.3929  0.0046  0.0561  0.0583  0.0274  0.03
Block 1995   81  0.2820  0.0073  0.0564  0.0587  0.0279  0.03
Blumental 1952   15  0.4913  0.009  0.186  0.6577  0.0416  0.16
Boshniakovich 1969   54  0.3546  0.0074  0.0379  0.0387  0.0288  0.02
Brailowsky 1960   19  0.4756  0.0018  0.1115  0.5033  0.289  0.37
Bunin 1987   83  0.2568  0.0082  0.0287  0.0278  0.0390  0.02
Bunin 1987b   84  0.2569  0.0083  0.0375  0.0377  0.0368  0.03
Chiu 1999   82  0.2670  0.0061  0.0469  0.0467  0.0450  0.04
Cohen 1997   77  0.2839  0.0024  0.0737  0.1833  0.1911  0.18
Cortot 1951   71  0.3157  0.0080  0.0473  0.0483  0.0382  0.03
Csalog 1996   23  0.4611  0.0029  0.0826  0.2954  0.0523  0.12
Czerny 1949   50  0.3758  0.0058  0.0559  0.0586  0.0276  0.03
Czerny 1990   16  0.4971  0.0010  0.2012  0.5561  0.0513  0.17
Duchoud 2007   76  0.2972  0.0060  0.0563  0.0572  0.0458  0.04
Ezaki 2006   30  0.4332  0.0023  0.0921  0.4181  0.0324  0.11
Falvay 1989   20  0.4773  0.0019  0.1618  0.4750  0.0710  0.18
Farrell 1958   59  0.3574  0.0044  0.0544  0.1085  0.0346  0.05
Ferenczy 1958   56  0.3530  0.0068  0.0557  0.0572  0.0357  0.04
Fliere 1977   13  0.4912  0.0017  0.1019  0.4581  0.0321  0.12
Fou 1978   34  0.4231  0.0027  0.0824  0.3158  0.0522  0.12
Francois 1956   49  0.3747  0.0049  0.0646  0.0672  0.0448  0.05
Friedman 1923   70  0.3114  0.0069  0.0556  0.0583  0.0364  0.04
Friedman 1923b   68  0.316  0.0065  0.0562  0.0583  0.0360  0.04
Friedman 1930   52  0.3659  0.0059  0.0560  0.0578  0.0456  0.04
Garcia 2007   64  0.3336  0.0071  0.0376  0.0382  0.0377  0.03
Garcia 2007b   57  0.3560  0.0070  0.0468  0.0475  0.0463  0.04
Gierzod 1998   22  0.4775  0.0034  0.0729  0.2878  0.0333  0.09
Gornostaeva 1994   9  0.5376  0.0012  0.1810  0.5949  0.0418  0.15
Groot 1988   42  0.3940  0.0025  0.0828  0.2887  0.0336  0.09
Harasiewicz 1955   55  0.3548  0.0051  0.0558  0.0565  0.0462  0.04
Hatto 1993   75  0.3049  0.0064  0.0565  0.0578  0.0361  0.04
Hatto 1997   72  0.3041  0.0067  0.0470  0.0480  0.0375  0.03
Horowitz 1949   66  0.3261  0.0076  0.0377  0.0388  0.0285  0.02
Indjic 1988   73  0.3062  0.0066  0.0472  0.0478  0.0372  0.03
Kapell 1951   18  0.4763  0.0033  0.0634  0.2576  0.0426  0.10
Kissin 1993   37  0.4150  0.0047  0.0549  0.0576  0.0354  0.04
Kushner 1989   17  0.4842  0.0031  0.0625  0.3182  0.0325  0.10
Luisada 1991   48  0.3722  0.0048  0.0647  0.0671  0.0445  0.05
Lushtak 2004   67  0.3251  0.0045  0.0648  0.0676  0.0359  0.04
Malcuzynski 1961   24  0.4518  0.0032  0.0632  0.2769  0.0427  0.10
Magaloff 1978   10  0.5164  0.0016  0.1016  0.5052  0.0514  0.16
Magin 1975   8  0.539  0.0011  0.157  0.6583  0.0319  0.14
Michalowski 1933   39  0.4015  0.0043  0.0642  0.1272  0.0344  0.06
Milkina 1970   11  0.5037  0.0022  0.0820  0.4274  0.0420  0.13
Mohovich 1999   32  0.4352  0.0039  0.0636  0.1970  0.0435  0.09
Moravec 1969   5  0.5877  0.005  0.368  0.658  0.605  0.62
Morozova 2008   58  0.3543  0.0054  0.0550  0.0579  0.0355  0.04
Neighaus 1950   62  0.3378  0.0075  0.0378  0.0383  0.0381  0.03
Niedzielski 1931   21  0.4710  0.008  0.189  0.6126  0.307  0.43
Ohlsson 1999   53  0.3679  0.0057  0.0555  0.0581  0.0453  0.04
Osinska 1989   28  0.4453  0.0038  0.0738  0.1886  0.0338  0.07
Pachmann 1927   69  0.3133  0.0086  0.0381  0.0381  0.0286  0.02
Paderewski 1930   61  0.3425  0.0072  0.0374  0.0383  0.0370  0.03
Perlemuter 1992   60  0.3480  0.0053  0.0552  0.0583  0.0349  0.04
Pierdomenico 2008   74  0.3081  0.0078  0.0285  0.0276  0.0467  0.03
Poblocka 1999   36  0.4121  0.0052  0.0554  0.0587  0.0265  0.03
Rabcewiczowa 1932   6  0.5526  0.007  0.3411  0.5922  0.308  0.42
Rachmaninoff 1923   7  0.5319  0.006  0.315  0.6922  0.326  0.47
Rangell 2001   65  0.3282  0.0079  0.0380  0.0384  0.0380  0.03
Richter 1976   85  0.2465  0.0087  0.0471  0.0488  0.0269  0.03
Rosen 1989   25  0.4434  0.0030  0.0733  0.2784  0.0334  0.09
Rosenthal 1930   4  0.794  0.014  0.824  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   63  0.3327  0.0063  0.0467  0.0486  0.0366  0.03
Rubinstein 1939   41  0.3938  0.0040  0.0639  0.1849  0.0531  0.09
Rubinstein 1952   27  0.4428  0.0014  0.1517  0.4746  0.0712  0.18
Rubinstein 1966   40  0.4083  0.0050  0.0945  0.0985  0.0347  0.05
Schilhawsky 1960   45  0.3984  0.0026  0.0735  0.2282  0.0337  0.08
Shebanova 2002   35  0.4285  0.0041  0.0641  0.1683  0.0342  0.07
Smith 1975   14  0.4944  0.0013  0.2214  0.5356  0.0515  0.16
Sokolov 2002   31  0.4366  0.0035  0.0827  0.2887  0.0239  0.07
Sztompka 1959   33  0.4254  0.0042  0.0740  0.1681  0.0340  0.07
Tomsic 1995   80  0.2867  0.0084  0.0286  0.0287  0.0284  0.02
Uninsky 1932   51  0.3635  0.0037  0.0643  0.1275  0.0441  0.07
Uninsky 1971   78  0.2886  0.0085  0.0284  0.0283  0.0471  0.03
Wasowski 1980   79  0.2887  0.0081  0.0283  0.0283  0.0383  0.02
Zak 1937   46  0.3888  0.0055  0.0553  0.0586  0.0351  0.04
Zak 1951   47  0.377  0.0056  0.0551  0.0586  0.0352  0.04
Random 1   89  -0.1145  0.0089  0.0289  0.0259  0.0387  0.02
Random 2   88  -0.0389  0.0088  0.0288  0.0229  0.2243  0.07
Random 3   90  -0.1290  0.0090  0.0190  0.0180  0.0389  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).