Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.7123  0.012  0.127  0.4910  0.396  0.44
Anderszewski 2003   75  0.2876  0.0073  0.0372  0.0382  0.0284  0.02
Ashkenazy 1981   61  0.4069  0.0045  0.0645  0.0676  0.0367  0.04
Bacha 2000   63  0.4050  0.0057  0.0467  0.0434  0.1849  0.08
Badura 1965   32  0.5570  0.0037  0.0930  0.2924  0.3123  0.30
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   26  0.5714  0.0112  0.078  0.4415  0.3112  0.37
Blet 2003   1  0.751  0.291  0.281  0.581  0.631  0.60
Block 1995   78  0.2513  0.0283  0.0282  0.0279  0.0385  0.02
Blumental 1952   76  0.2857  0.0071  0.0375  0.0364  0.0479  0.03
Boshniakovich 1969   60  0.4122  0.0165  0.0462  0.0441  0.1352  0.07
Brailowsky 1960   57  0.4358  0.0068  0.0460  0.0477  0.0462  0.04
Bunin 1987   14  0.6356  0.0027  0.0919  0.3932  0.2620  0.32
Bunin 1987b   13  0.6345  0.0026  0.0618  0.3932  0.2619  0.32
Chiu 1999   4  0.676  0.053  0.136  0.512  0.602  0.55
Cohen 1997   80  0.2440  0.0072  0.0465  0.0441  0.1253  0.07
Cortot 1951   56  0.4486  0.0049  0.0456  0.0449  0.0660  0.05
Csalog 1996   37  0.533  0.0611  0.0722  0.3711  0.478  0.42
Czerny 1949   27  0.5787  0.0041  0.0743  0.1846  0.0741  0.11
Czerny 1990   23  0.5930  0.0038  0.0936  0.2467  0.0442  0.10
Duchoud 2007   9  0.644  0.066  0.123  0.527  0.484  0.50
Ezaki 2006   12  0.6366  0.0021  0.0710  0.4333  0.1826  0.28
Falvay 1989   22  0.5977  0.0040  0.0641  0.1961  0.0445  0.09
Farrell 1958   55  0.4559  0.0060  0.0371  0.0364  0.0474  0.03
Ferenczy 1958   36  0.5488  0.0035  0.0634  0.2533  0.2628  0.25
Fliere 1977   11  0.632  0.105  0.124  0.5222  0.2711  0.37
Fou 1978   44  0.495  0.057  0.1132  0.2838  0.1932  0.23
Francois 1956   3  0.6715  0.0115  0.0915  0.4024  0.2621  0.32
Friedman 1923   86  0.0931  0.0080  0.0281  0.0256  0.0680  0.03
Friedman 1923b   85  0.1139  0.0079  0.0376  0.0362  0.0568  0.04
Friedman 1930   81  0.2471  0.0069  0.0463  0.0468  0.0465  0.04
Garcia 2007   82  0.2446  0.0077  0.0280  0.0249  0.0577  0.03
Garcia 2007b   87  0.0749  0.0089  0.0287  0.0284  0.0289  0.02
Gierzod 1998   50  0.4775  0.0063  0.0459  0.0462  0.0466  0.04
Gornostaeva 1994   41  0.5263  0.0048  0.0549  0.0546  0.0559  0.05
Groot 1988   6  0.6517  0.019  0.082  0.5221  0.3210  0.41
Harasiewicz 1955   49  0.4743  0.0052  0.0461  0.0446  0.0569  0.04
Hatto 1993   72  0.299  0.0232  0.1140  0.2226  0.2233  0.22
Hatto 1997   66  0.3724  0.0130  0.0635  0.2524  0.2927  0.27
Horowitz 1949   64  0.3960  0.0061  0.0458  0.0477  0.0376  0.03
Indjic 1988   69  0.3311  0.0231  0.1038  0.2324  0.2631  0.24
Kapell 1951   24  0.5872  0.0036  0.0829  0.3139  0.1830  0.24
Kissin 1993   47  0.4764  0.0062  0.0550  0.0554  0.0558  0.05
Kushner 1989   42  0.4989  0.0064  0.0646  0.0659  0.0456  0.05
Luisada 1991   58  0.4228  0.0154  0.0452  0.0445  0.0655  0.05
Lushtak 2004   7  0.6516  0.014  0.135  0.5120  0.359  0.42
Malcuzynski 1961   46  0.4873  0.0055  0.0454  0.0480  0.0375  0.03
Magaloff 1978   65  0.3834  0.0058  0.0370  0.0350  0.0470  0.03
Magin 1975   84  0.2061  0.0084  0.0283  0.0278  0.0282  0.02
Michalowski 1933   71  0.3055  0.0047  0.0548  0.0539  0.1646  0.09
Milkina 1970   51  0.4678  0.0056  0.0369  0.0350  0.0563  0.04
Mohovich 1999   15  0.628  0.0310  0.1012  0.4325  0.2616  0.33
Moravec 1969   45  0.4990  0.0067  0.0464  0.0461  0.0461  0.04
Morozova 2008   35  0.5436  0.0029  0.0733  0.2840  0.1136  0.18
Neighaus 1950   33  0.5519  0.0119  0.0820  0.3841  0.1629  0.25
Niedzielski 1931   68  0.3452  0.0070  0.0466  0.0484  0.0273  0.03
Ohlsson 1999   29  0.5733  0.0024  0.0611  0.4327  0.2222  0.31
Osinska 1989   31  0.5562  0.0043  0.0644  0.1750  0.0544  0.09
Pachmann 1927   17  0.6212  0.028  0.099  0.442  0.613  0.52
Paderewski 1930   54  0.4580  0.0059  0.0373  0.0339  0.1057  0.05
Perlemuter 1992   16  0.6225  0.0139  0.1031  0.2936  0.1235  0.19
Pierdomenico 2008   59  0.4184  0.0074  0.0374  0.0365  0.0372  0.03
Poblocka 1999   28  0.5744  0.0017  0.1014  0.4124  0.3014  0.35
Rabcewiczowa 1932   30  0.5529  0.0128  0.0726  0.3324  0.3217  0.32
Rachmaninoff 1923   43  0.4938  0.0051  0.0457  0.0467  0.0371  0.03
Rangell 2001   62  0.4047  0.0066  0.0453  0.0421  0.2343  0.10
Richter 1976   52  0.4642  0.0050  0.0455  0.0446  0.0564  0.04
Rosen 1989   53  0.4520  0.0146  0.0547  0.0542  0.1547  0.09
Rosenthal 1930   67  0.3782  0.0075  0.0368  0.0371  0.0378  0.03
Rosenthal 1931   74  0.2974  0.0081  0.0279  0.0276  0.0283  0.02
Rosenthal 1931b   83  0.2167  0.0087  0.0188  0.0174  0.0387  0.02
Rosenthal 1931c   70  0.3085  0.0078  0.0277  0.0283  0.0288  0.02
Rosenthal 1931d   79  0.2537  0.0088  0.0189  0.0179  0.0290  0.01
Rossi 2007   77  0.2768  0.0082  0.0286  0.0279  0.0281  0.02
Rubinstein 1939   73  0.2926  0.0176  0.0278  0.0231  0.2950  0.08
Rubinstein 1952   40  0.5227  0.0153  0.0451  0.0431  0.2148  0.09
Rubinstein 1966   25  0.577  0.0420  0.0816  0.398  0.535  0.45
Schilhawsky 1960   18  0.6232  0.0014  0.0724  0.3741  0.1134  0.20
Shebanova 2002   34  0.5554  0.0034  0.0628  0.3229  0.2625  0.29
Smith 1975   19  0.6181  0.0033  0.0927  0.3249  0.0539  0.13
Sokolov 2002   38  0.5253  0.0042  0.0637  0.2348  0.0640  0.12
Sztompka 1959   39  0.5265  0.0044  0.0942  0.1838  0.1638  0.17
Tomsic 1995   21  0.6035  0.0025  0.0523  0.3729  0.2224  0.29
Uninsky 1932   20  0.6118  0.0122  0.0725  0.3528  0.3215  0.33
Uninsky 1971   5  0.6548  0.0013  0.0713  0.4319  0.427  0.42
Wasowski 1980   48  0.4741  0.0023  0.0739  0.2335  0.1237  0.17
Zak 1937   10  0.6310  0.0218  0.1221  0.3725  0.2718  0.32
Zak 1951   8  0.6521  0.0116  0.1017  0.3923  0.3313  0.36
Random 1   88  -0.0151  0.0085  0.0285  0.0222  0.2851  0.07
Random 2   89  -0.0683  0.0086  0.0284  0.0229  0.1854  0.06
Random 3   90  -0.1079  0.0090  0.0190  0.0162  0.0486  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).