Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.2167  0.0052  0.0847  0.0858  0.0454  0.06
Anderszewski 2003   70  0.0942  0.0064  0.0558  0.0552  0.0657  0.05
Ashkenazy 1981   2  0.547  0.023  0.262  0.8217  0.692  0.75
Bacha 2000   47  0.2527  0.0040  0.0741  0.1629  0.2931  0.22
Badura 1965   62  0.1554  0.0063  0.0466  0.0470  0.0375  0.03
Barbosa 1983   24  0.3531  0.0024  0.1115  0.5919  0.4714  0.53
Biret 1990   38  0.3043  0.0054  0.0657  0.0644  0.1248  0.08
Blet 2003   12  0.418  0.0211  0.2211  0.6824  0.5311  0.60
Block 1995   48  0.2423  0.0031  0.1036  0.3167  0.0442  0.11
Blumental 1952   25  0.3562  0.0025  0.1222  0.5219  0.5015  0.51
Boshniakovich 1969   20  0.3711  0.0127  0.1225  0.4834  0.3123  0.39
Brailowsky 1960   81  0.0446  0.0075  0.0378  0.0377  0.0367  0.03
Bunin 1987   10  0.4441  0.009  0.159  0.698  0.629  0.65
Bunin 1987b   9  0.4416  0.008  0.168  0.698  0.626  0.65
Chiu 1999   21  0.3725  0.0015  0.1519  0.5529  0.3817  0.46
Cohen 1997   53  0.1919  0.0055  0.0656  0.0661  0.0458  0.05
Cortot 1951   85  -0.0175  0.0085  0.0287  0.0289  0.0190  0.01
Csalog 1996   50  0.2386  0.0046  0.0750  0.0753  0.0653  0.06
Czerny 1949   89  -0.0377  0.0089  0.0189  0.0182  0.0287  0.01
Czerny 1990   17  0.3978  0.0028  0.1232  0.3434  0.3924  0.36
Duchoud 2007   43  0.2879  0.0044  0.0644  0.1256  0.0546  0.08
Ezaki 2006   72  0.0887  0.0060  0.0474  0.0481  0.0266  0.03
Falvay 1989   49  0.2347  0.0043  0.0643  0.1465  0.0350  0.06
Farrell 1958   64  0.1257  0.0058  0.0561  0.0582  0.0360  0.04
Ferenczy 1958   86  -0.0251  0.0084  0.0383  0.0358  0.0663  0.04
Fliere 1977   14  0.4040  0.0022  0.1016  0.5945  0.1130  0.25
Fou 1978   45  0.2644  0.0047  0.0751  0.0759  0.0551  0.06
Francois 1956   66  0.1188  0.0076  0.0475  0.0467  0.0382  0.03
Friedman 1923   41  0.2858  0.0039  0.0739  0.2247  0.1040  0.15
Friedman 1923b   35  0.3114  0.0034  0.0829  0.3646  0.1133  0.20
Friedman 1930   31  0.3236  0.0033  0.1030  0.3546  0.1034  0.19
Garcia 2007   15  0.404  0.084  0.276  0.714  0.674  0.69
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   87  -0.0270  0.0069  0.0562  0.0579  0.0273  0.03
Gornostaeva 1994   78  0.0689  0.0087  0.0286  0.0290  0.0189  0.01
Groot 1988   3  0.495  0.0410  0.1610  0.6827  0.3616  0.49
Harasiewicz 1955   56  0.1838  0.0062  0.0376  0.0383  0.0379  0.03
Hatto 1993   6  0.4548  0.005  0.194  0.7613  0.595  0.67
Hatto 1997   26  0.3532  0.0013  0.1517  0.5522  0.3620  0.44
Horowitz 1949   8  0.4413  0.0116  0.1814  0.6124  0.5312  0.57
Indjic 1988   4  0.482  0.292  0.303  0.799  0.653  0.72
Kapell 1951   30  0.3330  0.0037  0.0837  0.2845  0.0838  0.15
Kissin 1993   27  0.3529  0.0035  0.0931  0.3442  0.2826  0.31
Kushner 1989   11  0.4265  0.0012  0.1812  0.6513  0.5810  0.61
Luisada 1991   1  0.551  0.311  0.301  0.835  0.771  0.80
Lushtak 2004   57  0.179  0.0149  0.0846  0.0837  0.1343  0.10
Malcuzynski 1961   22  0.3717  0.0018  0.0920  0.5427  0.2822  0.39
Magaloff 1978   54  0.1849  0.0056  0.0563  0.0569  0.0459  0.04
Magin 1975   19  0.3910  0.0117  0.1326  0.4633  0.4218  0.44
Michalowski 1933   7  0.443  0.107  0.257  0.718  0.607  0.65
Milkina 1970   71  0.0934  0.0067  0.0467  0.0477  0.0370  0.03
Mohovich 1999   80  0.0563  0.0068  0.0464  0.0478  0.0376  0.03
Moravec 1969   59  0.1676  0.0053  0.0752  0.0762  0.0455  0.05
Morozova 2008   39  0.3024  0.0029  0.1334  0.3143  0.1036  0.18
Neighaus 1950   42  0.2868  0.0050  0.0653  0.0686  0.0278  0.03
Niedzielski 1931   37  0.3045  0.0032  0.0935  0.3152  0.0641  0.14
Ohlsson 1999   55  0.1837  0.0061  0.0473  0.0479  0.0461  0.04
Osinska 1989   75  0.0752  0.0077  0.0380  0.0386  0.0283  0.02
Pachmann 1927   51  0.2353  0.0045  0.0749  0.0766  0.0552  0.06
Paderewski 1930   28  0.3422  0.0021  0.1024  0.5231  0.3819  0.44
Perlemuter 1992   46  0.2680  0.0057  0.0655  0.0656  0.0556  0.05
Pierdomenico 2008   18  0.3920  0.0014  0.1618  0.5515  0.5313  0.54
Poblocka 1999   34  0.3126  0.0041  0.0842  0.1665  0.0544  0.09
Rabcewiczowa 1932   67  0.1081  0.0083  0.0379  0.0382  0.0285  0.02
Rachmaninoff 1923   33  0.3150  0.0038  0.0938  0.2335  0.2132  0.22
Rangell 2001   73  0.0859  0.0081  0.0381  0.0382  0.0377  0.03
Richter 1976   29  0.3418  0.0023  0.1123  0.5242  0.3221  0.41
Rosen 1989   68  0.1082  0.0070  0.0559  0.0575  0.0364  0.04
Rosenthal 1930   65  0.1264  0.0080  0.0382  0.0379  0.0374  0.03
Rosenthal 1931   88  -0.0273  0.0078  0.0384  0.0371  0.0372  0.03
Rosenthal 1931b   83  0.0383  0.0074  0.0468  0.0463  0.0465  0.04
Rosenthal 1931c   77  0.0690  0.0073  0.0472  0.0484  0.0280  0.03
Rosenthal 1931d   76  0.0615  0.0059  0.0848  0.0846  0.0749  0.07
Rossi 2007   84  0.0066  0.0088  0.0288  0.0280  0.0384  0.02
Rubinstein 1939   69  0.0974  0.0071  0.0469  0.0473  0.0369  0.03
Rubinstein 1952   63  0.1484  0.0072  0.0471  0.0485  0.0281  0.03
Rubinstein 1966   61  0.1669  0.0051  0.0654  0.0679  0.0362  0.04
Schilhawsky 1960   40  0.2939  0.0048  0.0945  0.0930  0.3037  0.16
Shebanova 2002   5  0.476  0.036  0.305  0.7627  0.568  0.65
Smith 1975   74  0.0771  0.0086  0.0285  0.0290  0.0186  0.01
Sokolov 2002   60  0.1628  0.0066  0.0465  0.0481  0.0268  0.03
Sztompka 1959   23  0.3685  0.0019  0.0721  0.5444  0.1329  0.26
Tomsic 1995   32  0.3212  0.0126  0.1227  0.4332  0.2027  0.29
Uninsky 1932   13  0.4021  0.0020  0.0913  0.6142  0.1825  0.33
Uninsky 1971   58  0.1735  0.0065  0.0560  0.0588  0.0271  0.03
Wasowski 1980   16  0.3956  0.0030  0.1028  0.4148  0.0835  0.18
Zak 1937   36  0.3033  0.0036  0.0833  0.3336  0.2328  0.28
Zak 1951   44  0.2755  0.0042  0.0840  0.1743  0.1339  0.15
Random 1   82  0.0372  0.0079  0.0377  0.0334  0.2147  0.08
Random 2   79  0.0660  0.0082  0.0470  0.0431  0.2245  0.09
Random 3   90  -0.0561  0.0090  0.0190  0.0183  0.0288  0.01

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).