Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.5131  0.0039  0.0735  0.267  0.5421  0.37
Anderszewski 2003   49  0.4261  0.0041  0.0739  0.2362  0.0547  0.11
Ashkenazy 1981   56  0.4087  0.0076  0.0379  0.0349  0.0578  0.04
Bacha 2000   73  0.3576  0.0074  0.0382  0.0354  0.0481  0.03
Badura 1965   60  0.3921  0.0027  0.0641  0.2022  0.3630  0.27
Barbosa 1983   36  0.4568  0.0033  0.0534  0.2755  0.0741  0.14
Biret 1990   44  0.4343  0.0032  0.0530  0.3161  0.0545  0.12
Blet 2003   74  0.3582  0.0077  0.0383  0.0374  0.0385  0.03
Block 1995   69  0.3665  0.0030  0.0537  0.2534  0.2631  0.25
Blumental 1952   31  0.4613  0.0118  0.0917  0.4732  0.3518  0.41
Boshniakovich 1969   9  0.5325  0.0019  0.0818  0.4526  0.2923  0.36
Brailowsky 1960   55  0.4077  0.0054  0.0466  0.0460  0.0666  0.05
Bunin 1987   71  0.3583  0.0052  0.0647  0.0648  0.0664  0.06
Bunin 1987b   67  0.3669  0.0051  0.0554  0.0539  0.1356  0.08
Chiu 1999   30  0.4737  0.0037  0.0828  0.326  0.4920  0.40
Cohen 1997   75  0.3440  0.0072  0.0461  0.0438  0.1160  0.07
Cortot 1951   87  0.1878  0.0087  0.0287  0.0281  0.0290  0.02
Csalog 1996   34  0.4633  0.0028  0.0732  0.2935  0.1934  0.23
Czerny 1949   58  0.4056  0.0071  0.0464  0.0462  0.0576  0.04
Czerny 1990   38  0.4520  0.0158  0.0375  0.0377  0.0387  0.03
Duchoud 2007   25  0.4827  0.0025  0.0621  0.401  0.785  0.56
Ezaki 2006   14  0.5224  0.0023  0.0624  0.3549  0.0639  0.14
Falvay 1989   5  0.566  0.078  0.215  0.6427  0.477  0.55
Farrell 1958   66  0.3654  0.0061  0.0374  0.0363  0.0483  0.03
Ferenczy 1958   45  0.4332  0.0043  0.0844  0.1919  0.5128  0.31
Fliere 1977   2  0.601  0.151  0.153  0.6810  0.532  0.60
Fou 1978   12  0.5234  0.0024  0.0731  0.3142  0.1235  0.19
Francois 1956   65  0.3757  0.0057  0.0473  0.0438  0.1954  0.09
Friedman 1923   70  0.3574  0.0069  0.0745  0.0732  0.2842  0.14
Friedman 1923b   72  0.3563  0.0068  0.0465  0.0432  0.2751  0.10
Friedman 1930   53  0.4244  0.0029  0.0542  0.2015  0.4727  0.31
Garcia 2007   61  0.3870  0.0050  0.0459  0.0429  0.3544  0.12
Garcia 2007b   52  0.4279  0.0048  0.0648  0.0644  0.1158  0.08
Gierzod 1998   1  0.624  0.104  0.172  0.6828  0.3513  0.49
Gornostaeva 1994   13  0.5241  0.0017  0.0914  0.4921  0.4116  0.45
Groot 1988   48  0.4312  0.0111  0.1216  0.4718  0.3519  0.41
Harasiewicz 1955   27  0.4748  0.0044  0.1043  0.1955  0.0552  0.10
Hatto 1993   17  0.5216  0.0114  0.1911  0.5824  0.4114  0.49
Hatto 1997   11  0.5319  0.0113  0.149  0.5824  0.4212  0.49
Horowitz 1949   83  0.2966  0.0067  0.0551  0.0518  0.3940  0.14
Indjic 1988   10  0.5311  0.0212  0.138  0.5824  0.4211  0.49
Kapell 1951   37  0.4562  0.0047  0.0646  0.0661  0.0662  0.06
Kissin 1993   29  0.478  0.0416  0.1138  0.2443  0.2333  0.23
Kushner 1989   4  0.573  0.133  0.196  0.6424  0.428  0.52
Luisada 1991   26  0.4730  0.0026  0.0520  0.4314  0.5015  0.46
Lushtak 2004   43  0.4452  0.0038  0.0636  0.2655  0.0548  0.11
Malcuzynski 1961   33  0.4639  0.0040  0.0833  0.2865  0.0446  0.11
Magaloff 1978   46  0.4349  0.0065  0.0456  0.0463  0.0471  0.04
Magin 1975   6  0.559  0.036  0.1712  0.5520  0.479  0.51
Michalowski 1933   84  0.2838  0.0085  0.0384  0.0332  0.2057  0.08
Milkina 1970   8  0.5422  0.0010  0.1713  0.5441  0.1629  0.29
Mohovich 1999   22  0.502  0.142  0.184  0.6515  0.533  0.59
Moravec 1969   28  0.4758  0.0034  0.0627  0.3338  0.1732  0.24
Morozova 2008   62  0.3875  0.0064  0.0462  0.0447  0.0863  0.06
Neighaus 1950   82  0.3088  0.0084  0.0463  0.0481  0.0288  0.03
Niedzielski 1931   63  0.3815  0.0142  0.0640  0.211  0.5225  0.33
Ohlsson 1999   20  0.5110  0.0315  0.1015  0.4812  0.5210  0.50
Osinska 1989   3  0.5914  0.017  0.161  0.6831  0.456  0.55
Pachmann 1927   64  0.3828  0.0075  0.0380  0.0331  0.3149  0.10
Paderewski 1930   86  0.2484  0.0086  0.0386  0.0368  0.0484  0.03
Perlemuter 1992   47  0.4317  0.0145  0.0549  0.059  0.4737  0.15
Pierdomenico 2008   39  0.4467  0.0070  0.0467  0.0430  0.3443  0.12
Poblocka 1999   42  0.4480  0.0049  0.0550  0.0552  0.0861  0.06
Rabcewiczowa 1932   51  0.4273  0.0031  0.0526  0.3444  0.1036  0.18
Rachmaninoff 1923   79  0.3251  0.0055  0.0553  0.0568  0.0472  0.04
Rangell 2001   76  0.3326  0.0078  0.0469  0.0470  0.0579  0.04
Richter 1976   40  0.4436  0.0060  0.0376  0.0350  0.0573  0.04
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   78  0.3250  0.0080  0.0381  0.0346  0.0677  0.04
Rosenthal 1931   80  0.3271  0.0083  0.0455  0.0451  0.0575  0.04
Rosenthal 1931b   77  0.3289  0.0079  0.0385  0.0348  0.0580  0.04
Rosenthal 1931c   68  0.3653  0.0066  0.0552  0.0552  0.0765  0.06
Rosenthal 1931d   81  0.3059  0.0081  0.0457  0.0447  0.0769  0.05
Rossi 2007   57  0.4029  0.0073  0.0472  0.0456  0.0570  0.04
Rubinstein 1939   54  0.4147  0.0059  0.0377  0.0373  0.0482  0.03
Rubinstein 1952   21  0.5042  0.0022  0.0629  0.3145  0.0738  0.15
Rubinstein 1966   24  0.4881  0.0046  0.0458  0.0450  0.0768  0.05
Schilhawsky 1960   32  0.4672  0.0053  0.0470  0.0438  0.2350  0.10
Shebanova 2002   15  0.525  0.089  0.2210  0.589  0.574  0.57
Smith 1975   35  0.4535  0.0062  0.0468  0.0450  0.0767  0.05
Sokolov 2002   59  0.3955  0.0056  0.0471  0.0441  0.1655  0.08
Sztompka 1959   50  0.4260  0.0063  0.0460  0.0460  0.0574  0.04
Tomsic 1995   7  0.557  0.065  0.177  0.622  0.641  0.63
Uninsky 1932   85  0.2485  0.0082  0.0378  0.0374  0.0386  0.03
Uninsky 1971   23  0.5086  0.0036  0.0823  0.3635  0.3126  0.33
Wasowski 1980   41  0.4446  0.0021  0.0725  0.3433  0.3224  0.33
Zak 1937   19  0.5123  0.0035  0.0622  0.3633  0.3722  0.36
Zak 1951   16  0.5264  0.0020  0.0819  0.4323  0.4117  0.42
Random 1   89  -0.0190  0.0088  0.0288  0.0212  0.4253  0.09
Random 2   88  0.0118  0.0189  0.0289  0.0227  0.2659  0.07
Random 3   90  -0.0645  0.0090  0.0190  0.0151  0.0489  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).