Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.2477  0.0079  0.0476  0.0473  0.0380  0.03
Anderszewski 2003   30  0.4372  0.0025  0.1119  0.4659  0.0633  0.17
Ashkenazy 1981   59  0.3467  0.0070  0.0474  0.0478  0.0381  0.03
Bacha 2000   61  0.3443  0.0041  0.0641  0.1124  0.3223  0.19
Badura 1965   73  0.2585  0.0068  0.0380  0.0387  0.0285  0.02
Barbosa 1983   17  0.4748  0.0018  0.0912  0.5349  0.0821  0.21
Biret 1990   46  0.3960  0.0053  0.0656  0.0681  0.0376  0.04
Blet 2003   70  0.2639  0.0075  0.0658  0.0683  0.0371  0.04
Block 1995   54  0.3653  0.0055  0.0846  0.0854  0.0556  0.06
Blumental 1952   60  0.3434  0.0059  0.0660  0.0673  0.0468  0.05
Boshniakovich 1969   26  0.4419  0.019  0.1014  0.5255  0.0630  0.18
Brailowsky 1960   83  0.1878  0.0086  0.0286  0.0281  0.0382  0.02
Bunin 1987   39  0.4015  0.0134  0.0638  0.2032  0.1824  0.19
Bunin 1987b   52  0.3740  0.0043  0.0542  0.1036  0.1843  0.13
Chiu 1999   66  0.3261  0.0064  0.0748  0.0749  0.0655  0.06
Cohen 1997   40  0.4029  0.0049  0.0661  0.0613  0.3241  0.14
Cortot 1951   34  0.4310  0.0221  0.1128  0.366  0.657  0.48
Csalog 1996   77  0.2481  0.0069  0.0475  0.0472  0.0470  0.04
Czerny 1949   1  0.601  0.401  0.401  0.7719  0.641  0.70
Czerny 1990   7  0.5224  0.008  0.128  0.5940  0.2214  0.36
Duchoud 2007   56  0.3613  0.0158  0.0654  0.0620  0.4734  0.17
Ezaki 2006   24  0.4514  0.0117  0.1018  0.4852  0.0631  0.17
Falvay 1989   21  0.4675  0.0031  0.0830  0.3368  0.0444  0.11
Farrell 1958   9  0.512  0.172  0.235  0.6612  0.592  0.62
Ferenczy 1958   75  0.2449  0.0076  0.0473  0.0472  0.0472  0.04
Fliere 1977   62  0.3482  0.0063  0.0659  0.0674  0.0459  0.05
Fou 1978   44  0.3942  0.0054  0.0650  0.0668  0.0463  0.05
Francois 1956   53  0.3644  0.0051  0.0747  0.0741  0.1647  0.11
Friedman 1923   72  0.2637  0.0073  0.0655  0.0649  0.0657  0.06
Friedman 1923b   69  0.2665  0.0067  0.0479  0.0457  0.0575  0.04
Friedman 1930   71  0.2668  0.0074  0.0749  0.0782  0.0366  0.05
Garcia 2007   47  0.3886  0.0052  0.0657  0.0626  0.3836  0.15
Garcia 2007b   35  0.4256  0.0028  0.1129  0.3633  0.3015  0.33
Gierzod 1998   2  0.5328  0.0014  0.0816  0.5155  0.0535  0.16
Gornostaeva 1994   23  0.4512  0.0123  0.0823  0.4238  0.1818  0.27
Groot 1988   74  0.2457  0.0072  0.0571  0.0571  0.0477  0.04
Harasiewicz 1955   4  0.5221  0.007  0.137  0.6040  0.2413  0.38
Hatto 1993   49  0.3738  0.0039  0.0835  0.2284  0.0351  0.08
Hatto 1997   50  0.3783  0.0038  0.0736  0.2286  0.0349  0.08
Horowitz 1949   82  0.1854  0.0085  0.0284  0.0285  0.0283  0.02
Indjic 1988   48  0.3845  0.0037  0.0733  0.2478  0.0348  0.08
Kapell 1951   16  0.4711  0.0126  0.1125  0.3948  0.0827  0.18
Kissin 1993   10  0.5041  0.0013  0.109  0.5529  0.426  0.48
Kushner 1989   3  0.535  0.045  0.254  0.6642  0.2312  0.39
Luisada 1991   63  0.3364  0.0066  0.0568  0.0574  0.0469  0.04
Lushtak 2004   13  0.496  0.046  0.136  0.6232  0.358  0.47
Malcuzynski 1961   5  0.523  0.054  0.302  0.6820  0.484  0.57
Magaloff 1978   45  0.3927  0.0056  0.0845  0.0871  0.0361  0.05
Magin 1975   41  0.4069  0.0036  0.0637  0.2144  0.1038  0.14
Michalowski 1933   86  0.1379  0.0077  0.0477  0.0440  0.1254  0.07
Milkina 1970   15  0.4784  0.0016  0.0815  0.5250  0.0628  0.18
Mohovich 1999   57  0.3620  0.0057  0.0652  0.0682  0.0374  0.04
Moravec 1969   27  0.4430  0.0047  0.0569  0.0561  0.0558  0.05
Morozova 2008   20  0.4623  0.0010  0.1111  0.5325  0.3610  0.44
Neighaus 1950   42  0.4022  0.0042  0.0543  0.1025  0.3525  0.19
Niedzielski 1931   78  0.1987  0.0078  0.0478  0.0478  0.0379  0.03
Ohlsson 1999   29  0.4355  0.0033  0.0634  0.2447  0.0546  0.11
Osinska 1989   19  0.4735  0.0015  0.0813  0.5350  0.0626  0.18
Pachmann 1927   64  0.3351  0.0045  0.0564  0.0526  0.3740  0.14
Paderewski 1930   67  0.3232  0.0046  0.0651  0.067  0.5629  0.18
Perlemuter 1992   51  0.3750  0.0061  0.0565  0.0543  0.1052  0.07
Pierdomenico 2008   55  0.3662  0.0060  0.0563  0.0537  0.2645  0.11
Poblocka 1999   31  0.4373  0.0048  0.0567  0.0561  0.0660  0.05
Rabcewiczowa 1932   33  0.4347  0.0032  0.0632  0.2847  0.0642  0.13
Rachmaninoff 1923   81  0.1976  0.0080  0.0472  0.0486  0.0278  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   22  0.4636  0.0027  0.1431  0.3235  0.2617  0.29
Rosen 1989   65  0.3331  0.0065  0.0570  0.0569  0.0473  0.04
Rosenthal 1930   80  0.1917  0.0188  0.0287  0.0287  0.0190  0.01
Rosenthal 1931   84  0.1758  0.0083  0.0282  0.0285  0.0284  0.02
Rosenthal 1931b   85  0.1588  0.0084  0.0285  0.0282  0.0288  0.02
Rosenthal 1931c   79  0.1970  0.0081  0.0381  0.0387  0.0289  0.02
Rosenthal 1931d   87  0.1389  0.0087  0.0288  0.0288  0.0287  0.02
Rossi 2007   25  0.4418  0.0124  0.1022  0.444  0.545  0.49
Rubinstein 1939   6  0.524  0.043  0.273  0.6712  0.533  0.60
Rubinstein 1952   14  0.4816  0.0111  0.0820  0.4658  0.0537  0.15
Rubinstein 1966   11  0.5033  0.0012  0.0910  0.5346  0.0822  0.21
Schilhawsky 1960   58  0.3552  0.0062  0.0653  0.0669  0.0465  0.05
Shebanova 2002   18  0.478  0.0322  0.1024  0.4032  0.2616  0.32
Smith 1975   68  0.3071  0.0071  0.0566  0.0557  0.0562  0.05
Sokolov 2002   38  0.4126  0.0035  0.0639  0.1938  0.2520  0.22
Sztompka 1959   8  0.519  0.0320  0.1221  0.4426  0.449  0.44
Tomsic 1995   36  0.4159  0.0044  0.0544  0.1070  0.0553  0.07
Uninsky 1932   43  0.3925  0.0040  0.0740  0.1730  0.3619  0.25
Uninsky 1971   37  0.4190  0.0050  0.0662  0.0660  0.0564  0.05
Wasowski 1980   12  0.497  0.0419  0.1017  0.4931  0.3411  0.41
Zak 1937   28  0.4463  0.0030  0.0926  0.3850  0.0539  0.14
Zak 1951   32  0.4346  0.0029  0.0727  0.3743  0.0832  0.17
Random 1   89  -0.0274  0.0082  0.0283  0.0220  0.3350  0.08
Random 2   88  0.0666  0.0089  0.0189  0.0128  0.2367  0.05
Random 3   90  -0.0480  0.0090  0.0190  0.0150  0.0586  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).