Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.8089  0.004  0.144  0.5633  0.2712  0.39
Anderszewski 2003   45  0.6612  0.0046  0.0845  0.0843  0.1244  0.10
Ashkenazy 1981   31  0.6843  0.0045  0.0747  0.0773  0.0463  0.05
Bacha 2000   60  0.5928  0.0057  0.0461  0.0468  0.0466  0.04
Badura 1965   65  0.5778  0.0071  0.0379  0.0348  0.0762  0.05
Barbosa 1983   85  0.4467  0.0082  0.0382  0.0375  0.0382  0.03
Biret 1990   11  0.7380  0.008  0.118  0.549  0.515  0.52
Blet 2003   23  0.7037  0.0030  0.0628  0.2715  0.3719  0.32
Block 1995   71  0.5452  0.0034  0.0641  0.1577  0.0353  0.07
Blumental 1952   26  0.7049  0.0032  0.0632  0.2334  0.1335  0.17
Boshniakovich 1969   32  0.6824  0.0037  0.0643  0.1355  0.0549  0.08
Brailowsky 1960   68  0.5545  0.0063  0.0374  0.0370  0.0479  0.03
Bunin 1987   80  0.4633  0.0084  0.0286  0.0249  0.0774  0.04
Bunin 1987b   81  0.4582  0.0083  0.0285  0.0247  0.0771  0.04
Chiu 1999   59  0.5926  0.0059  0.0556  0.0580  0.0367  0.04
Cohen 1997   86  0.447  0.0180  0.0381  0.0330  0.2647  0.09
Cortot 1951   8  0.755  0.0218  0.0816  0.457  0.517  0.48
Csalog 1996   82  0.4530  0.0079  0.0383  0.0363  0.0484  0.03
Czerny 1949   22  0.7020  0.0017  0.0820  0.3739  0.2820  0.32
Czerny 1990   29  0.6990  0.0035  0.0637  0.1853  0.0450  0.08
Duchoud 2007   46  0.6623  0.0033  0.0642  0.149  0.4129  0.24
Ezaki 2006   37  0.6781  0.0056  0.0748  0.0777  0.0356  0.05
Falvay 1989   79  0.4646  0.0087  0.0463  0.0464  0.0569  0.04
Farrell 1958   17  0.729  0.019  0.109  0.525  0.533  0.52
Ferenczy 1958   58  0.6068  0.0058  0.0560  0.0557  0.0561  0.05
Fliere 1977   4  0.7861  0.005  0.125  0.5627  0.2613  0.38
Fou 1978   5  0.7734  0.006  0.186  0.5412  0.426  0.48
Francois 1956   51  0.6279  0.0049  0.0651  0.0626  0.2841  0.13
Friedman 1923   52  0.6250  0.0067  0.0653  0.0669  0.0465  0.05
Friedman 1923b   53  0.6274  0.0066  0.0467  0.0473  0.0475  0.04
Friedman 1930   54  0.6229  0.0068  0.0371  0.0370  0.0485  0.03
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.911  0.781  0.771  0.841  0.841  0.84
Gierzod 1998   9  0.7527  0.0015  0.1112  0.4737  0.1824  0.29
Gornostaeva 1994   56  0.6118  0.0060  0.0557  0.0554  0.0564  0.05
Groot 1988   61  0.5831  0.0024  0.0736  0.1949  0.0643  0.11
Harasiewicz 1955   19  0.7135  0.0019  0.0918  0.3846  0.0638  0.15
Hatto 1993   43  0.6769  0.0041  0.0635  0.2037  0.1734  0.18
Hatto 1997   34  0.6883  0.0039  0.0530  0.2338  0.1732  0.20
Horowitz 1949   42  0.6736  0.0053  0.0749  0.0741  0.2440  0.13
Indjic 1988   33  0.6864  0.0040  0.0831  0.2337  0.1831  0.20
Kapell 1951   27  0.6915  0.0014  0.0913  0.4632  0.1428  0.25
Kissin 1993   14  0.7384  0.0029  0.0727  0.3039  0.1233  0.19
Kushner 1989   28  0.6947  0.0025  0.0623  0.3529  0.3018  0.32
Luisada 1991   30  0.6988  0.0047  0.0650  0.0661  0.0557  0.05
Lushtak 2004   38  0.6732  0.0038  0.0638  0.1738  0.1337  0.15
Malcuzynski 1961   64  0.5719  0.0052  0.0559  0.0536  0.1546  0.09
Magaloff 1978   63  0.5721  0.0062  0.0466  0.0465  0.0568  0.04
Magin 1975   15  0.7325  0.0021  0.0919  0.3832  0.2221  0.29
Michalowski 1933   50  0.6353  0.0051  0.0554  0.0543  0.1152  0.07
Milkina 1970   39  0.6770  0.0048  0.0555  0.0554  0.0559  0.05
Mohovich 1999   49  0.6558  0.0044  0.0744  0.1346  0.0845  0.10
Moravec 1969   69  0.556  0.0173  0.0465  0.0437  0.1548  0.08
Morozova 2008   21  0.7075  0.0043  0.0740  0.1540  0.1339  0.14
Neighaus 1950   25  0.7085  0.0026  0.0622  0.3533  0.2027  0.26
Niedzielski 1931   40  0.673  0.0222  0.0726  0.3225  0.3816  0.35
Ohlsson 1999   20  0.7054  0.0013  0.0811  0.5021  0.339  0.41
Osinska 1989   7  0.7655  0.007  0.127  0.5421  0.418  0.47
Pachmann 1927   74  0.5259  0.0085  0.0287  0.0257  0.0481  0.03
Paderewski 1930   36  0.6816  0.0042  0.0933  0.2218  0.3822  0.29
Perlemuter 1992   6  0.7717  0.002  0.263  0.622  0.582  0.60
Pierdomenico 2008   73  0.538  0.0123  0.0639  0.1715  0.4025  0.26
Poblocka 1999   35  0.6872  0.0020  0.1021  0.3629  0.2917  0.32
Rabcewiczowa 1932   41  0.6744  0.0036  0.0634  0.2037  0.1336  0.16
Rachmaninoff 1923   12  0.732  0.0312  0.1017  0.4224  0.3015  0.35
Rangell 2001   87  0.4165  0.0081  0.0373  0.0349  0.0576  0.04
Richter 1976   70  0.5562  0.0072  0.0464  0.0444  0.1251  0.07
Rosen 1989   18  0.7166  0.0028  0.0525  0.3333  0.1830  0.24
Rosenthal 1930   72  0.5477  0.0070  0.0380  0.0335  0.1155  0.06
Rosenthal 1931   77  0.4773  0.0076  0.0378  0.0364  0.0483  0.03
Rosenthal 1931b   76  0.4838  0.0075  0.0284  0.0252  0.0686  0.03
Rosenthal 1931c   78  0.4722  0.0077  0.0369  0.0355  0.0487  0.03
Rosenthal 1931d   75  0.4986  0.0074  0.0375  0.0351  0.0577  0.04
Rossi 2007   66  0.5710  0.0164  0.0376  0.0339  0.1454  0.06
Rubinstein 1939   62  0.5841  0.0069  0.0377  0.0344  0.0758  0.05
Rubinstein 1952   84  0.4456  0.0078  0.0368  0.0367  0.0578  0.04
Rubinstein 1966   67  0.554  0.0261  0.0462  0.0465  0.0473  0.04
Schilhawsky 1960   24  0.7014  0.0016  0.0814  0.4534  0.3610  0.40
Shebanova 2002   16  0.7360  0.0010  0.1110  0.5233  0.2514  0.36
Smith 1975   57  0.6039  0.0065  0.0372  0.0381  0.0380  0.03
Sokolov 2002   55  0.6242  0.0050  0.0652  0.0631  0.2042  0.11
Sztompka 1959   2  0.8211  0.013  0.342  0.6516  0.414  0.52
Tomsic 1995   83  0.4440  0.0086  0.0370  0.0357  0.0672  0.04
Uninsky 1932   13  0.7363  0.0027  0.0624  0.3436  0.2523  0.29
Uninsky 1971   47  0.6613  0.0031  0.0629  0.2537  0.2826  0.26
Wasowski 1980   10  0.7448  0.0011  0.1115  0.4512  0.3311  0.39
Zak 1937   44  0.6787  0.0054  0.0558  0.0566  0.0470  0.04
Zak 1951   48  0.6671  0.0055  0.0846  0.0876  0.0360  0.05
Random 1   90  -0.2751  0.0089  0.0189  0.0161  0.0389  0.02
Random 2   88  -0.0976  0.0088  0.0188  0.0149  0.0488  0.02
Random 3   89  -0.1957  0.0090  0.0190  0.0156  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).