Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.2063  0.0038  0.0641  0.2041  0.2037  0.20
Anderszewski 2003   52  0.2577  0.0040  0.0940  0.2016  0.5229  0.32
Ashkenazy 1981   24  0.3652  0.0028  0.0720  0.4466  0.0640  0.16
Bacha 2000   53  0.2441  0.0057  0.0647  0.0646  0.0751  0.06
Badura 1965   71  0.1653  0.0070  0.0472  0.0477  0.0385  0.03
Barbosa 1983   14  0.414  0.073  0.1310  0.619  0.639  0.62
Biret 1990   75  0.1346  0.0077  0.0381  0.0358  0.0577  0.04
Blet 2003   56  0.2268  0.0059  0.0561  0.0551  0.0756  0.06
Block 1995   2  0.475  0.066  0.125  0.6711  0.617  0.64
Blumental 1952   48  0.2613  0.0145  0.0557  0.0556  0.0567  0.05
Boshniakovich 1969   1  0.521  0.421  0.421  0.783  0.761  0.77
Brailowsky 1960   44  0.2833  0.0053  0.0652  0.0634  0.3442  0.14
Bunin 1987   47  0.2772  0.0046  0.0470  0.0450  0.0770  0.05
Bunin 1987b   45  0.2887  0.0047  0.0565  0.0549  0.0754  0.06
Chiu 1999   34  0.3327  0.0032  0.0733  0.3745  0.1038  0.19
Cohen 1997   60  0.2036  0.0054  0.0646  0.0657  0.0569  0.05
Cortot 1951   58  0.2082  0.0076  0.0473  0.0458  0.0578  0.04
Csalog 1996   61  0.2054  0.0062  0.0568  0.0550  0.0664  0.05
Czerny 1949   89  -0.0588  0.0089  0.0288  0.0277  0.0389  0.02
Czerny 1990   36  0.3278  0.0031  0.0635  0.2933  0.3928  0.34
Duchoud 2007   43  0.2847  0.0055  0.0645  0.0663  0.0566  0.05
Ezaki 2006   79  0.0969  0.0072  0.0567  0.0570  0.0471  0.04
Falvay 1989   59  0.2040  0.0063  0.0469  0.0473  0.0380  0.03
Farrell 1958   78  0.1149  0.0082  0.0378  0.0370  0.0382  0.03
Ferenczy 1958   81  0.0864  0.0084  0.0380  0.0349  0.0765  0.05
Fliere 1977   8  0.4321  0.015  0.133  0.6827  0.588  0.63
Fou 1978   40  0.2873  0.0043  0.0742  0.1746  0.0744  0.11
Francois 1956   80  0.0983  0.0083  0.0379  0.0370  0.0387  0.03
Friedman 1923   15  0.4137  0.0016  0.1315  0.5325  0.5315  0.53
Friedman 1923b   11  0.4248  0.0014  0.1214  0.5422  0.5713  0.55
Friedman 1930   23  0.3742  0.0036  0.1234  0.3635  0.4024  0.38
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   17  0.403  0.072  0.224  0.676  0.712  0.69
Gierzod 1998   68  0.1738  0.0037  0.0639  0.2332  0.2932  0.26
Gornostaeva 1994   73  0.1470  0.0075  0.0377  0.0355  0.0576  0.04
Groot 1988   32  0.3428  0.0029  0.0730  0.3753  0.0741  0.16
Harasiewicz 1955   16  0.402  0.088  0.169  0.6411  0.5310  0.58
Hatto 1993   29  0.3432  0.0027  0.0725  0.4056  0.0839  0.18
Hatto 1997   64  0.2024  0.0051  0.0651  0.0654  0.0657  0.06
Horowitz 1949   13  0.4226  0.0017  0.1216  0.5117  0.6111  0.56
Indjic 1988   33  0.3355  0.0022  0.1029  0.3836  0.2630  0.31
Kapell 1951   18  0.4015  0.0119  0.0931  0.3727  0.3226  0.34
Kissin 1993   49  0.2684  0.0050  0.0558  0.0551  0.0855  0.06
Kushner 1989   37  0.3116  0.0126  0.0924  0.4229  0.3922  0.40
Luisada 1991   22  0.3760  0.0030  0.0732  0.3745  0.1433  0.23
Lushtak 2004   46  0.2761  0.0049  0.0650  0.0625  0.2543  0.12
Malcuzynski 1961   41  0.2843  0.0039  0.0736  0.2539  0.1736  0.21
Magaloff 1978   31  0.3410  0.0224  0.0923  0.4324  0.4420  0.43
Magin 1975   76  0.1279  0.0069  0.0475  0.0471  0.0473  0.04
Michalowski 1933   30  0.3474  0.0042  0.0743  0.1648  0.0845  0.11
Milkina 1970   82  0.0720  0.0165  0.0654  0.0661  0.0561  0.05
Mohovich 1999   7  0.448  0.024  0.146  0.664  0.694  0.67
Moravec 1969   50  0.2662  0.0060  0.0653  0.0674  0.0459  0.05
Morozova 2008   51  0.2519  0.0141  0.0838  0.2454  0.0546  0.11
Neighaus 1950   21  0.3744  0.0033  0.0622  0.4345  0.1135  0.22
Niedzielski 1931   27  0.3565  0.0020  0.0921  0.4425  0.3921  0.41
Ohlsson 1999   63  0.2022  0.0058  0.0648  0.0659  0.0563  0.05
Osinska 1989   39  0.2975  0.0056  0.0649  0.0638  0.1747  0.10
Pachmann 1927   25  0.3671  0.0035  0.0928  0.3924  0.5119  0.45
Paderewski 1930   26  0.3630  0.0021  0.1017  0.4824  0.5018  0.49
Perlemuter 1992   42  0.2839  0.0044  0.0844  0.1639  0.3134  0.22
Pierdomenico 2008   20  0.3931  0.0034  0.0737  0.2424  0.3731  0.30
Poblocka 1999   28  0.3512  0.0115  0.1227  0.4027  0.3525  0.37
Rabcewiczowa 1932   65  0.1989  0.0071  0.0474  0.0445  0.1053  0.06
Rachmaninoff 1923   38  0.3066  0.0052  0.0556  0.0543  0.1350  0.08
Rangell 2001   4  0.4614  0.0113  0.138  0.653  0.665  0.65
Richter 1976   6  0.457  0.037  0.172  0.6926  0.663  0.67
Rosen 1989   19  0.4018  0.0125  0.0919  0.4533  0.3623  0.40
Rosenthal 1930   67  0.1756  0.0081  0.0376  0.0361  0.0575  0.04
Rosenthal 1931   83  0.0690  0.0079  0.0382  0.0359  0.0483  0.03
Rosenthal 1931b   70  0.1757  0.0073  0.0563  0.0547  0.0858  0.06
Rosenthal 1931c   57  0.2123  0.0066  0.0564  0.0542  0.1549  0.09
Rosenthal 1931d   74  0.1334  0.0080  0.0384  0.0355  0.0486  0.03
Rossi 2007   86  0.0080  0.0085  0.0385  0.0353  0.0572  0.04
Rubinstein 1939   84  0.0667  0.0078  0.0383  0.0376  0.0381  0.03
Rubinstein 1952   69  0.1781  0.0068  0.0471  0.0455  0.0579  0.04
Rubinstein 1966   10  0.439  0.029  0.1313  0.5712  0.4816  0.52
Schilhawsky 1960   66  0.1876  0.0061  0.0560  0.0541  0.1748  0.09
Shebanova 2002   9  0.4325  0.0010  0.137  0.6532  0.4712  0.55
Smith 1975   85  0.0350  0.0086  0.0286  0.0277  0.0388  0.02
Sokolov 2002   77  0.1229  0.0064  0.0655  0.0653  0.0460  0.05
Sztompka 1959   35  0.3217  0.0123  0.0726  0.4037  0.2927  0.34
Tomsic 1995   54  0.2458  0.0048  0.0562  0.0552  0.0562  0.05
Uninsky 1932   5  0.456  0.0512  0.1211  0.6123  0.4417  0.52
Uninsky 1971   72  0.1451  0.0074  0.0559  0.0578  0.0374  0.04
Wasowski 1980   55  0.2345  0.0067  0.0566  0.0550  0.0752  0.06
Zak 1937   3  0.4711  0.0111  0.1512  0.596  0.696  0.64
Zak 1951   12  0.4235  0.0018  0.0918  0.4712  0.6114  0.54
Random 1   88  -0.0485  0.0087  0.0287  0.0240  0.1368  0.05
Random 2   87  -0.0259  0.0088  0.0289  0.0262  0.0484  0.03
Random 3   90  -0.1586  0.0090  0.0190  0.0185  0.0290  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).