Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.4145  0.0037  0.0643  0.1213  0.5137  0.25
Anderszewski 2003   77  0.3176  0.0070  0.0374  0.0357  0.0580  0.04
Ashkenazy 1981   65  0.3466  0.0077  0.0385  0.0365  0.0683  0.04
Bacha 2000   84  0.2979  0.0084  0.0378  0.0373  0.0386  0.03
Badura 1965   67  0.3480  0.0050  0.0554  0.0514  0.4646  0.15
Barbosa 1983   60  0.3590  0.0063  0.0467  0.0466  0.0579  0.04
Biret 1990   58  0.3561  0.0064  0.0460  0.0437  0.2461  0.10
Blet 2003   73  0.3378  0.0076  0.0387  0.0354  0.0581  0.04
Block 1995   27  0.4222  0.0017  0.1017  0.3912  0.5715  0.47
Blumental 1952   72  0.3326  0.0059  0.0377  0.0340  0.1569  0.07
Boshniakovich 1969   6  0.5024  0.005  0.305  0.677  0.685  0.67
Brailowsky 1960   36  0.4167  0.0039  0.0634  0.1819  0.5827  0.32
Bunin 1987   81  0.3064  0.0067  0.0553  0.0538  0.1664  0.09
Bunin 1987b   80  0.3083  0.0066  0.0375  0.0339  0.2066  0.08
Chiu 1999   10  0.4732  0.0013  0.118  0.516  0.589  0.54
Cohen 1997   50  0.3818  0.0052  0.0547  0.0510  0.6242  0.18
Cortot 1951   55  0.3746  0.0025  0.0738  0.1617  0.5132  0.29
Csalog 1996   18  0.4528  0.0029  0.0727  0.2811  0.4824  0.37
Czerny 1949   79  0.3186  0.0083  0.0383  0.0355  0.0582  0.04
Czerny 1990   62  0.3585  0.0071  0.0470  0.0480  0.0484  0.04
Duchoud 2007   24  0.4439  0.0014  0.1110  0.502  0.726  0.60
Ezaki 2006   12  0.4625  0.0018  0.1114  0.4312  0.5810  0.50
Falvay 1989   37  0.4162  0.0042  0.0735  0.1844  0.1051  0.13
Farrell 1958   57  0.3527  0.0053  0.0456  0.0436  0.1665  0.08
Ferenczy 1958   68  0.3415  0.0061  0.0468  0.0423  0.6144  0.16
Fliere 1977   2  0.591  0.471  0.471  0.812  0.772  0.79
Fou 1978   13  0.466  0.0119  0.0928  0.2728  0.3330  0.30
Francois 1956   64  0.3554  0.0068  0.0461  0.0421  0.4355  0.13
Friedman 1923   26  0.4341  0.0027  0.0621  0.318  0.6616  0.45
Friedman 1923b   28  0.4242  0.0028  0.0623  0.308  0.6617  0.44
Friedman 1930   25  0.439  0.0112  0.0916  0.429  0.6012  0.50
Garcia 2007   46  0.3913  0.0135  0.0541  0.1415  0.4736  0.26
Garcia 2007b   86  0.2669  0.0080  0.0386  0.0345  0.0685  0.04
Gierzod 1998   20  0.4447  0.0022  0.0822  0.3024  0.3826  0.34
Gornostaeva 1994   3  0.544  0.054  0.394  0.693  0.784  0.73
Groot 1988   44  0.3912  0.0115  0.0815  0.4225  0.3721  0.39
Harasiewicz 1955   7  0.4929  0.009  0.129  0.5035  0.3022  0.39
Hatto 1993   31  0.4263  0.0032  0.0640  0.1557  0.0762  0.10
Hatto 1997   30  0.4219  0.0031  0.0631  0.2133  0.2439  0.22
Horowitz 1949   76  0.3265  0.0069  0.0464  0.0425  0.4847  0.14
Indjic 1988   49  0.3857  0.0056  0.0458  0.0454  0.0674  0.05
Kapell 1951   43  0.3984  0.0054  0.0463  0.0469  0.0575  0.04
Kissin 1993   70  0.3388  0.0075  0.0379  0.0364  0.0678  0.04
Kushner 1989   17  0.4536  0.0010  0.0813  0.4426  0.3520  0.39
Luisada 1991   53  0.3723  0.0060  0.0472  0.0441  0.1268  0.07
Lushtak 2004   48  0.3917  0.0049  0.0646  0.0628  0.3054  0.13
Malcuzynski 1961   40  0.4051  0.0047  0.0549  0.0565  0.0573  0.05
Magaloff 1978   4  0.517  0.016  0.206  0.578  0.567  0.56
Magin 1975   66  0.3434  0.0072  0.0465  0.0451  0.0671  0.05
Michalowski 1933   82  0.3040  0.0086  0.0376  0.0353  0.0677  0.04
Milkina 1970   59  0.3537  0.0058  0.0459  0.0449  0.0772  0.05
Mohovich 1999   5  0.503  0.063  0.273  0.722  0.773  0.74
Moravec 1969   52  0.3733  0.0041  0.0736  0.1837  0.2140  0.19
Morozova 2008   38  0.408  0.0123  0.0724  0.3032  0.3229  0.31
Neighaus 1950   22  0.4459  0.0024  0.0726  0.2918  0.4425  0.36
Niedzielski 1931   63  0.3573  0.0055  0.0471  0.0426  0.3257  0.11
Ohlsson 1999   9  0.4830  0.008  0.1111  0.4810  0.5013  0.49
Osinska 1989   1  0.602  0.222  0.462  0.813  0.791  0.80
Pachmann 1927   19  0.4511  0.0126  0.0729  0.225  0.6223  0.37
Paderewski 1930   87  0.2575  0.0087  0.0466  0.0469  0.0476  0.04
Perlemuter 1992   21  0.4420  0.0021  0.0818  0.394  0.6311  0.50
Pierdomenico 2008   14  0.4635  0.0034  0.0542  0.139  0.5534  0.27
Poblocka 1999   23  0.4443  0.0020  0.1020  0.3822  0.4918  0.43
Rabcewiczowa 1932   47  0.3974  0.0036  0.0632  0.2022  0.5028  0.32
Rachmaninoff 1923   69  0.3421  0.0043  0.0839  0.1630  0.3138  0.22
Rangell 2001   39  0.405  0.0233  0.0637  0.1715  0.5431  0.30
Richter 1976   8  0.4810  0.0111  0.0819  0.3827  0.4319  0.40
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   54  0.3750  0.0057  0.0552  0.0513  0.6241  0.18
Rosenthal 1931   83  0.2955  0.0082  0.0384  0.0333  0.3858  0.11
Rosenthal 1931b   78  0.3177  0.0079  0.0381  0.0324  0.4856  0.12
Rosenthal 1931c   51  0.3744  0.0051  0.0551  0.0515  0.5245  0.16
Rosenthal 1931d   85  0.2871  0.0078  0.0380  0.0320  0.4259  0.11
Rossi 2007   74  0.3231  0.0085  0.0469  0.0417  0.4250  0.13
Rubinstein 1939   75  0.3238  0.0081  0.0382  0.0356  0.0487  0.03
Rubinstein 1952   41  0.4052  0.0046  0.0550  0.0548  0.0870  0.06
Rubinstein 1966   16  0.4556  0.0030  0.0625  0.2965  0.0653  0.13
Schilhawsky 1960   61  0.3553  0.0074  0.0457  0.0432  0.1963  0.09
Shebanova 2002   11  0.4714  0.017  0.177  0.5612  0.548  0.55
Smith 1975   45  0.3958  0.0065  0.0555  0.0536  0.1960  0.10
Sokolov 2002   56  0.3748  0.0062  0.0462  0.0426  0.4149  0.13
Sztompka 1959   29  0.4270  0.0048  0.0645  0.0633  0.3348  0.14
Tomsic 1995   42  0.4049  0.0038  0.0533  0.1817  0.4235  0.27
Uninsky 1932   71  0.3360  0.0073  0.0373  0.0371  0.0488  0.03
Uninsky 1971   15  0.4568  0.0016  0.0912  0.4517  0.4914  0.47
Wasowski 1980   34  0.4116  0.0040  0.0630  0.2133  0.3633  0.27
Zak 1937   32  0.4181  0.0045  0.0548  0.0526  0.3252  0.13
Zak 1951   35  0.4172  0.0044  0.0444  0.0823  0.3743  0.17
Random 1   88  0.0087  0.0088  0.0288  0.0222  0.3567  0.08
Random 2   89  -0.0289  0.0089  0.0289  0.0257  0.0589  0.03
Random 3   90  -0.0782  0.0090  0.0190  0.0157  0.0390  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).