Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.2781  0.0068  0.0560  0.0567  0.0469  0.04
Anderszewski 2003   72  0.2429  0.0025  0.0829  0.2642  0.1929  0.22
Ashkenazy 1981   17  0.3911  0.0122  0.1023  0.4342  0.1821  0.28
Bacha 2000   65  0.2680  0.0069  0.0475  0.0469  0.0458  0.04
Badura 1965   74  0.2238  0.0073  0.0646  0.0685  0.0281  0.03
Barbosa 1983   24  0.3555  0.0017  0.1417  0.5436  0.2315  0.35
Biret 1990   27  0.3479  0.0041  0.0641  0.1350  0.0643  0.09
Blet 2003   23  0.3521  0.0040  0.0635  0.1838  0.2230  0.20
Block 1995   75  0.2273  0.0066  0.0474  0.0474  0.0382  0.03
Blumental 1952   29  0.3489  0.0033  0.0626  0.2848  0.0737  0.14
Boshniakovich 1969   19  0.388  0.0118  0.1615  0.5643  0.1322  0.27
Brailowsky 1960   81  0.1670  0.0085  0.0381  0.0372  0.0560  0.04
Bunin 1987   15  0.4022  0.0016  0.1711  0.656  0.607  0.62
Bunin 1987b   14  0.4116  0.0015  0.1610  0.654  0.596  0.62
Chiu 1999   21  0.3810  0.0120  0.1020  0.4731  0.2216  0.32
Cohen 1997   41  0.327  0.0135  0.0833  0.2031  0.4219  0.29
Cortot 1951   86  0.1064  0.0081  0.0286  0.0273  0.0389  0.02
Csalog 1996   48  0.3061  0.0046  0.0477  0.0460  0.0567  0.04
Czerny 1949   80  0.1976  0.0079  0.0478  0.0476  0.0379  0.03
Czerny 1990   16  0.4082  0.0019  0.1021  0.4641  0.1524  0.26
Duchoud 2007   43  0.3253  0.0044  0.0544  0.1029  0.3031  0.17
Ezaki 2006   73  0.2368  0.0074  0.0552  0.0573  0.0457  0.04
Falvay 1989   30  0.3447  0.0028  0.0928  0.2646  0.0638  0.12
Farrell 1958   49  0.3028  0.0038  0.0637  0.1539  0.1434  0.14
Ferenczy 1958   85  0.1383  0.0086  0.0382  0.0356  0.0668  0.04
Fliere 1977   7  0.4412  0.009  0.167  0.6745  0.1023  0.26
Fou 1978   42  0.3267  0.0037  0.0639  0.1474  0.0345  0.06
Francois 1956   67  0.2546  0.0071  0.0557  0.0568  0.0475  0.04
Friedman 1923   59  0.2823  0.0060  0.0562  0.0545  0.0748  0.06
Friedman 1923b   53  0.2917  0.0045  0.0476  0.0455  0.0655  0.05
Friedman 1930   25  0.3415  0.0029  0.0732  0.2344  0.0836  0.14
Garcia 2007   1  0.551  0.721  0.711  0.871  0.881  0.87
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   76  0.2284  0.0057  0.0472  0.0470  0.0570  0.04
Gornostaeva 1994   54  0.2966  0.0067  0.0473  0.0487  0.0283  0.03
Groot 1988   5  0.442  0.076  0.1316  0.5524  0.3714  0.45
Harasiewicz 1955   45  0.3143  0.0050  0.0649  0.0660  0.0556  0.05
Hatto 1993   10  0.4334  0.003  0.184  0.7416  0.544  0.63
Hatto 1997   18  0.3913  0.007  0.1714  0.6220  0.4610  0.53
Horowitz 1949   28  0.3424  0.0036  0.0642  0.1239  0.2032  0.15
Indjic 1988   3  0.443  0.042  0.332  0.7512  0.623  0.68
Kapell 1951   9  0.4336  0.0011  0.179  0.6722  0.3412  0.48
Kissin 1993   38  0.3231  0.0056  0.0648  0.0660  0.0647  0.06
Kushner 1989   4  0.4425  0.004  0.213  0.7417  0.518  0.61
Luisada 1991   6  0.449  0.0112  0.1813  0.6315  0.519  0.57
Lushtak 2004   46  0.3085  0.0032  0.0631  0.2353  0.0541  0.11
Malcuzynski 1961   13  0.4119  0.0014  0.1412  0.6530  0.3313  0.46
Magaloff 1978   55  0.2841  0.0055  0.0551  0.0581  0.0361  0.04
Magin 1975   2  0.455  0.028  0.175  0.6914  0.565  0.62
Michalowski 1933   50  0.304  0.0239  0.0638  0.1423  0.3827  0.23
Milkina 1970   56  0.2840  0.0027  0.0830  0.2648  0.0835  0.14
Mohovich 1999   69  0.2586  0.0031  0.0734  0.1844  0.0840  0.12
Moravec 1969   51  0.2990  0.0062  0.0565  0.0578  0.0359  0.04
Morozova 2008   32  0.3349  0.0023  0.1022  0.4542  0.1425  0.25
Neighaus 1950   62  0.2651  0.0075  0.0558  0.0582  0.0373  0.04
Niedzielski 1931   71  0.2433  0.0076  0.0550  0.0576  0.0364  0.04
Ohlsson 1999   64  0.2669  0.0064  0.0554  0.0581  0.0365  0.04
Osinska 1989   57  0.2826  0.0030  0.0636  0.1661  0.0542  0.09
Pachmann 1927   60  0.2742  0.0061  0.0561  0.0548  0.0846  0.06
Paderewski 1930   44  0.3171  0.0043  0.0543  0.1220  0.4926  0.24
Perlemuter 1992   35  0.3372  0.0049  0.0556  0.0559  0.0549  0.05
Pierdomenico 2008   8  0.4318  0.005  0.286  0.671  0.712  0.69
Poblocka 1999   36  0.3330  0.0052  0.0567  0.0569  0.0550  0.05
Rabcewiczowa 1932   52  0.2952  0.0058  0.0555  0.0563  0.0551  0.05
Rachmaninoff 1923   47  0.3062  0.0059  0.0563  0.0572  0.0462  0.04
Rangell 2001   68  0.2539  0.0070  0.0559  0.0567  0.0472  0.04
Richter 1976   26  0.3437  0.0026  0.0925  0.3940  0.2020  0.28
Rosen 1989   66  0.2635  0.0065  0.0645  0.0686  0.0371  0.04
Rosenthal 1930   79  0.2060  0.0084  0.0287  0.0265  0.0480  0.03
Rosenthal 1931   87  0.1088  0.0087  0.0380  0.0379  0.0378  0.03
Rosenthal 1931b   84  0.1350  0.0083  0.0285  0.0263  0.0485  0.03
Rosenthal 1931c   82  0.1577  0.0082  0.0383  0.0382  0.0290  0.02
Rosenthal 1931d   83  0.1578  0.0080  0.0284  0.0271  0.0484  0.03
Rossi 2007   70  0.2527  0.0072  0.0647  0.0624  0.3533  0.14
Rubinstein 1939   63  0.2644  0.0051  0.0471  0.0468  0.0463  0.04
Rubinstein 1952   40  0.3257  0.0054  0.0566  0.0572  0.0374  0.04
Rubinstein 1966   31  0.346  0.0110  0.1918  0.5137  0.1618  0.29
Schilhawsky 1960   39  0.3220  0.0053  0.0470  0.0451  0.0653  0.05
Shebanova 2002   11  0.4332  0.0013  0.168  0.6729  0.3711  0.50
Smith 1975   77  0.2274  0.0078  0.0479  0.0482  0.0377  0.03
Sokolov 2002   78  0.2087  0.0077  0.0469  0.0484  0.0276  0.03
Sztompka 1959   22  0.3554  0.0034  0.0827  0.2757  0.0539  0.12
Tomsic 1995   20  0.3859  0.0024  0.0824  0.4230  0.2417  0.32
Uninsky 1932   37  0.3275  0.0048  0.0553  0.0549  0.0654  0.05
Uninsky 1971   58  0.2848  0.0063  0.0568  0.0580  0.0366  0.04
Wasowski 1980   12  0.4214  0.0021  0.1019  0.4943  0.1028  0.22
Zak 1937   33  0.3358  0.0047  0.0564  0.0561  0.0552  0.05
Zak 1951   34  0.3345  0.0042  0.0740  0.1363  0.0444  0.07
Random 1   90  -0.0363  0.0088  0.0188  0.0153  0.0487  0.02
Random 2   88  0.0065  0.0090  0.0190  0.0152  0.0586  0.02
Random 3   89  -0.0356  0.0089  0.0189  0.0156  0.0388  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).