Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.2082  0.0069  0.0472  0.0475  0.0376  0.03
Anderszewski 2003   27  0.2919  0.0126  0.0834  0.2832  0.2420  0.26
Ashkenazy 1981   17  0.3359  0.0022  0.0817  0.4655  0.0722  0.18
Bacha 2000   30  0.2836  0.0027  0.0722  0.4334  0.2415  0.32
Badura 1965   49  0.2114  0.0141  0.0839  0.1844  0.1132  0.14
Barbosa 1983   3  0.4223  0.007  0.134  0.6713  0.563  0.61
Biret 1990   31  0.2747  0.0038  0.0737  0.2538  0.3119  0.28
Blet 2003   5  0.428  0.039  0.216  0.6336  0.377  0.48
Block 1995   14  0.3424  0.0016  0.1513  0.5162  0.0527  0.16
Blumental 1952   20  0.316  0.0413  0.1510  0.5728  0.3311  0.43
Boshniakovich 1969   8  0.403  0.104  0.233  0.7026  0.446  0.55
Brailowsky 1960   35  0.2616  0.0137  0.0736  0.2756  0.0634  0.13
Bunin 1987   29  0.2820  0.0029  0.1325  0.3936  0.2317  0.30
Bunin 1987b   28  0.2826  0.0028  0.0826  0.3936  0.2218  0.29
Chiu 1999   1  0.434  0.0510  0.149  0.6143  0.1516  0.30
Cohen 1997   68  0.1483  0.0067  0.0470  0.0487  0.0278  0.03
Cortot 1951   67  0.1564  0.0072  0.0467  0.0474  0.0379  0.03
Csalog 1996   39  0.2460  0.0050  0.0471  0.0469  0.0555  0.04
Czerny 1949   87  -0.0287  0.0090  0.0190  0.0190  0.0189  0.01
Czerny 1990   66  0.1530  0.0063  0.0559  0.0577  0.0360  0.04
Duchoud 2007   75  0.1088  0.0068  0.0466  0.0483  0.0277  0.03
Ezaki 2006   72  0.1151  0.0077  0.0379  0.0383  0.0281  0.02
Falvay 1989   80  0.0845  0.0082  0.0382  0.0389  0.0282  0.02
Farrell 1958   86  0.0573  0.0078  0.0380  0.0385  0.0284  0.02
Ferenczy 1958   76  0.0937  0.0073  0.0465  0.0444  0.1544  0.08
Fliere 1977   15  0.3353  0.0031  0.0929  0.3462  0.0533  0.13
Fou 1978   60  0.1738  0.0051  0.0464  0.0484  0.0371  0.03
Francois 1956   59  0.1850  0.0070  0.0476  0.0475  0.0380  0.03
Friedman 1923   13  0.3732  0.0012  0.1816  0.4836  0.3712  0.42
Friedman 1923b   10  0.3910  0.026  0.1614  0.5037  0.428  0.46
Friedman 1930   6  0.422  0.182  0.207  0.6331  0.495  0.56
Garcia 2007   57  0.1825  0.0040  0.0741  0.1760  0.0541  0.09
Garcia 2007b   26  0.2934  0.0030  0.1030  0.3045  0.0928  0.16
Gierzod 1998   62  0.1761  0.0049  0.0647  0.0656  0.0646  0.06
Gornostaeva 1994   77  0.0984  0.0086  0.0284  0.0288  0.0288  0.02
Groot 1988   50  0.2077  0.0065  0.0648  0.0678  0.0362  0.04
Harasiewicz 1955   4  0.4212  0.0215  0.1312  0.5375  0.0430  0.15
Hatto 1993   48  0.2140  0.0054  0.0550  0.0571  0.0464  0.04
Hatto 1997   56  0.1928  0.0055  0.0646  0.0685  0.0358  0.04
Horowitz 1949   9  0.395  0.055  0.195  0.6526  0.484  0.56
Indjic 1988   46  0.2354  0.0042  0.0840  0.1764  0.0639  0.10
Kapell 1951   25  0.2967  0.0024  0.0724  0.4253  0.0624  0.16
Kissin 1993   52  0.2055  0.0053  0.0562  0.0569  0.0548  0.05
Kushner 1989   38  0.2543  0.0043  0.0643  0.1469  0.0445  0.07
Luisada 1991   23  0.3048  0.0034  0.0933  0.2864  0.0535  0.12
Lushtak 2004   16  0.3370  0.0018  0.0815  0.4816  0.4210  0.45
Malcuzynski 1961   22  0.3029  0.0021  0.0720  0.4453  0.0625  0.16
Magaloff 1978   32  0.2749  0.0039  0.0838  0.2363  0.0538  0.11
Magin 1975   53  0.2056  0.0060  0.0561  0.0573  0.0453  0.04
Michalowski 1933   11  0.3811  0.0211  0.168  0.6235  0.339  0.45
Milkina 1970   74  0.1021  0.0075  0.0469  0.0479  0.0372  0.03
Mohovich 1999   47  0.2242  0.0017  0.0842  0.1563  0.0542  0.09
Moravec 1969   65  0.1541  0.0059  0.0552  0.0587  0.0267  0.03
Morozova 2008   40  0.2478  0.0062  0.0563  0.0583  0.0357  0.04
Neighaus 1950   43  0.2352  0.0046  0.0745  0.0788  0.0263  0.04
Niedzielski 1931   42  0.249  0.0235  0.0632  0.2980  0.0340  0.09
Ohlsson 1999   12  0.377  0.038  0.1411  0.5432  0.2214  0.34
Osinska 1989   45  0.2333  0.0056  0.0558  0.0569  0.0449  0.04
Pachmann 1927   19  0.3385  0.0020  0.0821  0.4436  0.3113  0.37
Paderewski 1930   36  0.2631  0.0044  0.0644  0.1254  0.0643  0.08
Perlemuter 1992   18  0.3371  0.0023  0.0628  0.3561  0.0436  0.12
Pierdomenico 2008   70  0.1379  0.0064  0.0649  0.0679  0.0352  0.04
Poblocka 1999   21  0.3117  0.0119  0.0719  0.4547  0.0623  0.16
Rabcewiczowa 1932   79  0.0962  0.0084  0.0285  0.0284  0.0283  0.02
Rachmaninoff 1923   54  0.2074  0.0047  0.0556  0.0580  0.0351  0.04
Rangell 2001   69  0.1457  0.0066  0.0553  0.0581  0.0361  0.04
Richter 1976   34  0.2635  0.0033  0.1031  0.3053  0.0731  0.14
Rosen 1989   41  0.2458  0.0036  0.0735  0.2853  0.0537  0.12
Rosenthal 1930   82  0.0772  0.0083  0.0286  0.0286  0.0286  0.02
Rosenthal 1931   84  0.0689  0.0079  0.0468  0.0484  0.0274  0.03
Rosenthal 1931b   81  0.0890  0.0071  0.0474  0.0469  0.0465  0.04
Rosenthal 1931c   85  0.0668  0.0085  0.0283  0.0289  0.0190  0.01
Rosenthal 1931d   73  0.1063  0.0048  0.0554  0.0545  0.0747  0.06
Rossi 2007   78  0.0969  0.0080  0.0381  0.0345  0.0650  0.04
Rubinstein 1939   71  0.1218  0.0174  0.0477  0.0484  0.0270  0.03
Rubinstein 1952   63  0.1644  0.0058  0.0555  0.0578  0.0366  0.04
Rubinstein 1966   58  0.1875  0.0057  0.0551  0.0581  0.0356  0.04
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   24  0.2915  0.0114  0.1518  0.4649  0.0921  0.20
Smith 1975   61  0.1746  0.0076  0.0475  0.0478  0.0369  0.03
Sokolov 2002   55  0.1927  0.0045  0.0560  0.0582  0.0268  0.03
Sztompka 1959   64  0.1686  0.0061  0.0473  0.0480  0.0373  0.03
Tomsic 1995   83  0.0680  0.0081  0.0378  0.0388  0.0285  0.02
Uninsky 1932   33  0.2765  0.0025  0.0823  0.4253  0.0626  0.16
Uninsky 1971   44  0.2339  0.0052  0.0557  0.0581  0.0354  0.04
Wasowski 1980   37  0.2676  0.0032  0.0927  0.3758  0.0629  0.15
Zak 1937   7  0.4013  0.013  0.212  0.719  0.672  0.69
Zak 1951   2  0.421  0.301  0.291  0.743  0.751  0.74
Random 1   88  -0.0466  0.0087  0.0288  0.0270  0.0387  0.02
Random 2   90  -0.0522  0.0088  0.0287  0.0263  0.0475  0.03
Random 3   89  -0.0581  0.0089  0.0189  0.0133  0.1659  0.04

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).