Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.5816  0.0012  0.1212  0.4713  0.4511  0.46
Anderszewski 2003   72  0.3884  0.0077  0.0468  0.0454  0.0384  0.03
Ashkenazy 1981   26  0.5480  0.0029  0.0624  0.3343  0.1038  0.18
Bacha 2000   31  0.5358  0.0046  0.0546  0.0512  0.4740  0.15
Badura 1965   71  0.3847  0.0064  0.0370  0.0333  0.2261  0.08
Barbosa 1983   69  0.4086  0.0042  0.0642  0.1342  0.1541  0.14
Biret 1990   19  0.5726  0.0037  0.0927  0.3123  0.4121  0.36
Blet 2003   49  0.4881  0.0049  0.0461  0.0451  0.0576  0.04
Block 1995   11  0.6033  0.0011  0.1714  0.4315  0.4114  0.42
Blumental 1952   82  0.3364  0.0051  0.0381  0.0359  0.0487  0.03
Boshniakovich 1969   14  0.5921  0.008  0.1213  0.4613  0.5510  0.50
Brailowsky 1960   22  0.5655  0.0032  0.0629  0.3018  0.3922  0.34
Bunin 1987   68  0.4070  0.0080  0.0458  0.0463  0.0479  0.04
Bunin 1987b   66  0.4087  0.0079  0.0455  0.0461  0.0473  0.04
Chiu 1999   24  0.557  0.0114  0.1010  0.5112  0.549  0.52
Cohen 1997   58  0.4520  0.0036  0.0640  0.1418  0.3733  0.23
Cortot 1951   33  0.5222  0.0033  0.0635  0.1822  0.3431  0.25
Csalog 1996   57  0.455  0.0475  0.0377  0.0336  0.2459  0.08
Czerny 1949   47  0.4868  0.0021  0.0634  0.2130  0.3029  0.25
Czerny 1990   28  0.5327  0.0017  0.0821  0.3734  0.1927  0.27
Duchoud 2007   32  0.5246  0.0024  0.0731  0.2531  0.3124  0.28
Ezaki 2006   9  0.6419  0.005  0.116  0.5912  0.488  0.53
Falvay 1989   30  0.5344  0.0039  0.0732  0.2444  0.0743  0.13
Farrell 1958   36  0.5065  0.0035  0.0641  0.1427  0.2936  0.20
Ferenczy 1958   79  0.3653  0.0084  0.0382  0.0369  0.0386  0.03
Fliere 1977   5  0.6714  0.006  0.135  0.6413  0.545  0.59
Fou 1978   15  0.5842  0.0015  0.1211  0.4819  0.4312  0.45
Francois 1956   29  0.5345  0.0013  0.1718  0.4219  0.3816  0.40
Friedman 1923   78  0.3639  0.0057  0.0379  0.039  0.4645  0.12
Friedman 1923b   77  0.3788  0.0056  0.0469  0.047  0.5142  0.14
Friedman 1930   65  0.4137  0.0041  0.0639  0.1623  0.3928  0.25
Garcia 2007   80  0.3336  0.0052  0.0372  0.0327  0.2954  0.09
Garcia 2007b   86  0.2175  0.0085  0.0288  0.0270  0.0390  0.02
Gierzod 1998   18  0.5831  0.0016  0.0815  0.4315  0.3517  0.39
Gornostaeva 1994   2  0.731  0.321  0.312  0.751  0.762  0.75
Groot 1988   20  0.5723  0.0023  0.0723  0.3437  0.1930  0.25
Harasiewicz 1955   45  0.4824  0.0020  0.0922  0.3541  0.1435  0.22
Hatto 1993   81  0.3379  0.0070  0.0454  0.0445  0.0768  0.05
Hatto 1997   75  0.3710  0.0130  0.0638  0.1661  0.0460  0.08
Horowitz 1949   59  0.4451  0.0074  0.0465  0.0467  0.0475  0.04
Indjic 1988   84  0.3076  0.0071  0.0449  0.0445  0.0767  0.05
Kapell 1951   48  0.4882  0.0072  0.0450  0.0448  0.0571  0.04
Kissin 1993   25  0.5462  0.0031  0.0533  0.2235  0.2234  0.22
Kushner 1989   10  0.6171  0.0019  0.0820  0.3917  0.3718  0.38
Luisada 1991   39  0.5077  0.0043  0.0643  0.1344  0.1046  0.11
Lushtak 2004   44  0.4841  0.0050  0.0375  0.0350  0.0578  0.04
Malcuzynski 1961   6  0.6659  0.0010  0.168  0.5522  0.3613  0.44
Magaloff 1978   3  0.714  0.084  0.354  0.714  0.554  0.62
Magin 1975   60  0.4461  0.0055  0.0383  0.0339  0.1563  0.07
Michalowski 1933   76  0.3756  0.0066  0.0467  0.0449  0.0666  0.05
Milkina 1970   35  0.5173  0.0047  0.0545  0.0543  0.1356  0.08
Mohovich 1999   7  0.656  0.037  0.137  0.5910  0.556  0.57
Moravec 1969   56  0.4643  0.0065  0.0463  0.0447  0.0664  0.05
Morozova 2008   40  0.509  0.0122  0.0826  0.3224  0.2326  0.27
Neighaus 1950   1  0.733  0.192  0.441  0.771  0.713  0.74
Niedzielski 1931   83  0.3285  0.0086  0.0385  0.0376  0.0381  0.03
Ohlsson 1999   13  0.5917  0.0028  0.1017  0.4222  0.2823  0.34
Osinska 1989   4  0.702  0.223  0.353  0.721  0.781  0.75
Pachmann 1927   53  0.4611  0.0160  0.0373  0.0333  0.2257  0.08
Paderewski 1930   50  0.4763  0.0034  0.0637  0.1630  0.2037  0.18
Perlemuter 1992   41  0.5048  0.0040  0.0736  0.1834  0.1539  0.16
Pierdomenico 2008   21  0.5630  0.0026  0.0630  0.288  0.5020  0.37
Poblocka 1999   16  0.5829  0.0025  0.0525  0.3340  0.1732  0.24
Rabcewiczowa 1932   27  0.5432  0.0038  0.1028  0.3114  0.5415  0.41
Rachmaninoff 1923   70  0.4049  0.0044  0.0544  0.0939  0.1448  0.11
Rangell 2001   8  0.648  0.019  0.159  0.512  0.617  0.56
Richter 1976   61  0.4312  0.0183  0.0462  0.0482  0.0383  0.03
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   51  0.4769  0.0063  0.0378  0.0329  0.3551  0.10
Rosenthal 1931   73  0.3840  0.0078  0.0453  0.0436  0.1758  0.08
Rosenthal 1931b   67  0.4078  0.0076  0.0374  0.0328  0.2362  0.08
Rosenthal 1931c   42  0.4913  0.0148  0.0548  0.0526  0.3244  0.13
Rosenthal 1931d   62  0.4352  0.0073  0.0456  0.0425  0.2752  0.10
Rossi 2007   85  0.2857  0.0068  0.0466  0.0419  0.3047  0.11
Rubinstein 1939   87  0.2025  0.0087  0.0387  0.0356  0.0480  0.03
Rubinstein 1952   55  0.4634  0.0053  0.0371  0.0326  0.2555  0.09
Rubinstein 1966   38  0.5035  0.0054  0.0451  0.0433  0.2849  0.11
Schilhawsky 1960   74  0.3772  0.0081  0.0380  0.0383  0.0385  0.03
Shebanova 2002   12  0.6018  0.0027  0.0719  0.3924  0.3819  0.38
Smith 1975   23  0.5666  0.0018  0.0716  0.4338  0.1725  0.27
Sokolov 2002   46  0.4883  0.0069  0.0460  0.0451  0.0570  0.04
Sztompka 1959   37  0.5067  0.0062  0.0464  0.0450  0.0665  0.05
Tomsic 1995   34  0.5138  0.0061  0.0459  0.0455  0.0574  0.04
Uninsky 1932   63  0.4328  0.0067  0.0452  0.0454  0.0577  0.04
Uninsky 1971   43  0.4815  0.0045  0.0547  0.0542  0.1753  0.09
Wasowski 1980   64  0.4160  0.0082  0.0457  0.0461  0.0569  0.04
Zak 1937   52  0.4750  0.0059  0.0376  0.0354  0.0572  0.04
Zak 1951   54  0.4654  0.0058  0.0384  0.0366  0.0482  0.03
Random 1   89  -0.0174  0.0090  0.0190  0.0151  0.0489  0.02
Random 2   90  -0.0789  0.0089  0.0189  0.0177  0.0388  0.02
Random 3   88  0.0990  0.0088  0.0386  0.0313  0.3850  0.11

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).