Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7589  0.0014  0.1012  0.4934  0.2723  0.36
Anderszewski 2003   59  0.5986  0.0059  0.0554  0.0549  0.0667  0.05
Ashkenazy 1981   24  0.6759  0.0038  0.0632  0.2541  0.1235  0.17
Bacha 2000   45  0.6360  0.0050  0.0474  0.0415  0.3440  0.12
Badura 1965   64  0.5578  0.0065  0.0648  0.0646  0.0763  0.06
Barbosa 1983   87  0.4083  0.0073  0.0381  0.0361  0.0481  0.03
Biret 1990   15  0.7162  0.0021  0.0720  0.4012  0.4513  0.42
Blet 2003   38  0.6449  0.0044  0.0444  0.0821  0.3236  0.16
Block 1995   68  0.5320  0.0032  0.0537  0.1747  0.0650  0.10
Blumental 1952   51  0.6247  0.0022  0.0735  0.2030  0.1633  0.18
Boshniakovich 1969   32  0.6672  0.0040  0.0639  0.1540  0.1837  0.16
Brailowsky 1960   60  0.5866  0.0064  0.0553  0.0542  0.1256  0.08
Bunin 1987   73  0.5061  0.0075  0.0467  0.0442  0.1462  0.07
Bunin 1987b   75  0.4952  0.0074  0.0463  0.0442  0.1460  0.07
Chiu 1999   62  0.5512  0.0163  0.0560  0.0583  0.0370  0.04
Cohen 1997   86  0.415  0.0179  0.0476  0.0432  0.2551  0.10
Cortot 1951   20  0.6923  0.0031  0.0927  0.3211  0.4620  0.38
Csalog 1996   76  0.4873  0.0072  0.0382  0.0373  0.0383  0.03
Czerny 1949   25  0.6763  0.0017  0.0911  0.5032  0.3415  0.41
Czerny 1990   46  0.6384  0.0051  0.0558  0.0559  0.0476  0.04
Duchoud 2007   52  0.6210  0.0156  0.0552  0.0517  0.2942  0.12
Ezaki 2006   57  0.6145  0.0062  0.0550  0.0587  0.0369  0.04
Falvay 1989   84  0.448  0.0187  0.0471  0.0467  0.0472  0.04
Farrell 1958   36  0.652  0.0313  0.1119  0.4118  0.4311  0.42
Ferenczy 1958   26  0.6644  0.0023  0.0926  0.347  0.4716  0.40
Fliere 1977   9  0.7441  0.008  0.117  0.5426  0.2719  0.38
Fou 1978   10  0.7474  0.0019  0.0917  0.4214  0.3717  0.39
Francois 1956   55  0.6243  0.0054  0.0461  0.0427  0.2752  0.10
Friedman 1923   44  0.6333  0.0047  0.0473  0.0438  0.3147  0.11
Friedman 1923b   49  0.6314  0.0148  0.0466  0.0438  0.3146  0.11
Friedman 1930   54  0.6211  0.0160  0.0745  0.0738  0.2939  0.14
Garcia 2007   1  0.911  0.761  0.751  0.841  0.841  0.84
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   14  0.7254  0.0018  0.0715  0.4631  0.2624  0.35
Gornostaeva 1994   37  0.6418  0.0057  0.0549  0.0517  0.2944  0.12
Groot 1988   63  0.5534  0.0035  0.0641  0.1355  0.0655  0.09
Harasiewicz 1955   31  0.6616  0.0124  0.0930  0.2838  0.1234  0.18
Hatto 1993   53  0.6277  0.0029  0.0925  0.3526  0.2928  0.32
Hatto 1997   43  0.6379  0.0028  0.1222  0.3723  0.3127  0.34
Horowitz 1949   39  0.6485  0.0061  0.0746  0.0738  0.2938  0.14
Indjic 1988   42  0.6387  0.0027  0.0723  0.3723  0.3126  0.34
Kapell 1951   13  0.734  0.015  0.1610  0.5111  0.3314  0.41
Kissin 1993   18  0.6980  0.0039  0.0934  0.2461  0.0449  0.10
Kushner 1989   30  0.6635  0.0037  0.0629  0.3031  0.2429  0.27
Luisada 1991   22  0.6867  0.0036  0.0533  0.2449  0.0641  0.12
Lushtak 2004   58  0.6068  0.0043  0.0543  0.0954  0.0561  0.07
Malcuzynski 1961   66  0.5437  0.0066  0.0647  0.0642  0.1353  0.09
Magaloff 1978   65  0.5519  0.0067  0.0468  0.0473  0.0471  0.04
Magin 1975   19  0.6925  0.0026  0.0731  0.2637  0.1632  0.20
Michalowski 1933   23  0.6732  0.0025  0.0828  0.3116  0.4322  0.37
Milkina 1970   27  0.6664  0.0052  0.0555  0.0552  0.0566  0.05
Mohovich 1999   21  0.6888  0.0042  0.0538  0.1545  0.0943  0.12
Moravec 1969   72  0.5017  0.0078  0.0469  0.0443  0.1358  0.07
Morozova 2008   34  0.6569  0.0046  0.0462  0.0460  0.0475  0.04
Neighaus 1950   11  0.7338  0.0011  0.135  0.5624  0.388  0.46
Niedzielski 1931   41  0.6421  0.0030  0.1021  0.3727  0.3721  0.37
Ohlsson 1999   17  0.7048  0.0016  0.0914  0.4717  0.4010  0.43
Osinska 1989   8  0.746  0.017  0.106  0.5514  0.475  0.51
Pachmann 1927   77  0.4750  0.0081  0.0284  0.0278  0.0387  0.02
Paderewski 1930   28  0.6629  0.0041  0.0640  0.1417  0.3830  0.23
Perlemuter 1992   12  0.7346  0.006  0.154  0.603  0.513  0.55
Pierdomenico 2008   67  0.537  0.0134  0.0642  0.1226  0.3231  0.20
Poblocka 1999   33  0.6651  0.0020  0.0624  0.3527  0.3425  0.34
Rabcewiczowa 1932   35  0.6530  0.0045  0.0464  0.0432  0.1757  0.08
Rachmaninoff 1923   29  0.6631  0.0033  0.0836  0.2048  0.0645  0.11
Rangell 2001   80  0.4665  0.0080  0.0465  0.0475  0.0385  0.03
Richter 1976   69  0.529  0.0170  0.0478  0.0439  0.2054  0.09
Rosen 1989   4  0.763  0.0212  0.1216  0.4517  0.3912  0.42
Rosenthal 1930   71  0.5181  0.0077  0.0380  0.0352  0.0484  0.03
Rosenthal 1931   82  0.4575  0.0085  0.0286  0.0278  0.0482  0.03
Rosenthal 1931b   78  0.4676  0.0083  0.0383  0.0363  0.0578  0.04
Rosenthal 1931c   83  0.4453  0.0084  0.0287  0.0269  0.0486  0.03
Rosenthal 1931d   79  0.4657  0.0086  0.0479  0.0455  0.0577  0.04
Rossi 2007   70  0.5113  0.0171  0.0472  0.0440  0.1459  0.07
Rubinstein 1939   61  0.5627  0.0068  0.0559  0.0548  0.0665  0.05
Rubinstein 1952   81  0.4515  0.0176  0.0470  0.0453  0.0668  0.05
Rubinstein 1966   74  0.5036  0.0069  0.0477  0.0476  0.0474  0.04
Schilhawsky 1960   47  0.6326  0.0015  0.0918  0.4235  0.3618  0.39
Shebanova 2002   5  0.7670  0.003  0.153  0.6123  0.357  0.46
Smith 1975   48  0.6342  0.0058  0.0556  0.0547  0.0664  0.05
Sokolov 2002   56  0.6139  0.0055  0.0557  0.0530  0.2148  0.10
Sztompka 1959   2  0.8328  0.002  0.372  0.696  0.532  0.60
Tomsic 1995   85  0.4255  0.0082  0.0285  0.0269  0.0480  0.03
Uninsky 1932   3  0.7622  0.004  0.148  0.5210  0.496  0.50
Uninsky 1971   16  0.7158  0.009  0.1013  0.4825  0.409  0.44
Wasowski 1980   7  0.7524  0.0010  0.139  0.513  0.524  0.51
Zak 1937   40  0.6456  0.0049  0.0475  0.0484  0.0379  0.03
Zak 1951   50  0.6240  0.0053  0.0551  0.0580  0.0373  0.04
Random 1   90  -0.2971  0.0088  0.0188  0.0162  0.0389  0.02
Random 2   88  -0.1390  0.0089  0.0189  0.0159  0.0388  0.02
Random 3   89  -0.1782  0.0090  0.0190  0.0158  0.0490  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).