Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.5816  0.0145  0.0644  0.1176  0.0354  0.06
Anderszewski 2003   54  0.4832  0.0063  0.0465  0.0466  0.0373  0.03
Ashkenazy 1981   34  0.5970  0.0034  0.0539  0.1560  0.0446  0.08
Bacha 2000   11  0.6859  0.0020  0.0632  0.2118  0.3814  0.28
Badura 1965   53  0.4827  0.0028  0.0533  0.2036  0.2223  0.21
Barbosa 1983   72  0.4048  0.0017  0.0722  0.2354  0.0439  0.10
Biret 1990   16  0.6730  0.0044  0.0542  0.1259  0.0451  0.07
Blet 2003   44  0.543  0.143  0.1813  0.3132  0.1722  0.23
Block 1995   23  0.6522  0.0115  0.0931  0.2111  0.3517  0.27
Blumental 1952   84  0.2083  0.0084  0.0289  0.0284  0.0289  0.02
Boshniakovich 1969   19  0.6610  0.0211  0.0712  0.3410  0.428  0.38
Brailowsky 1960   17  0.6724  0.0114  0.0815  0.3012  0.4112  0.35
Bunin 1987   65  0.4438  0.0070  0.0372  0.0377  0.0381  0.03
Bunin 1987b   64  0.4467  0.0069  0.0376  0.0376  0.0369  0.03
Chiu 1999   58  0.4821  0.0123  0.0710  0.3821  0.369  0.37
Cohen 1997   66  0.4479  0.0053  0.0650  0.0621  0.3232  0.14
Cortot 1951   67  0.4443  0.0085  0.0287  0.0275  0.0390  0.02
Csalog 1996   39  0.5852  0.0046  0.0746  0.0719  0.4425  0.18
Czerny 1949   73  0.3877  0.0074  0.0371  0.0386  0.0288  0.02
Czerny 1990   37  0.5842  0.0058  0.0460  0.0471  0.0383  0.03
Duchoud 2007   25  0.644  0.059  0.0918  0.2964  0.0438  0.11
Ezaki 2006   14  0.6740  0.0016  0.089  0.3952  0.0528  0.14
Falvay 1989   35  0.5858  0.0040  0.0538  0.1654  0.0540  0.09
Farrell 1958   31  0.6112  0.0156  0.0553  0.0544  0.1049  0.07
Ferenczy 1958   69  0.4287  0.0086  0.0285  0.0275  0.0387  0.02
Fliere 1977   2  0.782  0.212  0.261  0.589  0.421  0.49
Fou 1978   32  0.608  0.035  0.144  0.4717  0.425  0.44
Francois 1956   59  0.4781  0.0072  0.0369  0.0370  0.0384  0.03
Friedman 1923   89  0.0464  0.0090  0.0190  0.0160  0.0591  0.02
Friedman 1923b   88  0.0537  0.0089  0.0288  0.0260  0.0582  0.03
Friedman 1930   85  0.1978  0.0068  0.0279  0.0267  0.0476  0.03
Garcia 2007   74  0.3884  0.0076  0.0378  0.0371  0.0378  0.03
Garcia 2007b   83  0.2168  0.0087  0.0283  0.0239  0.1063  0.04
Gierzod 1998   30  0.6144  0.0049  0.0649  0.0647  0.0556  0.05
Gornostaeva 1994   8  0.6969  0.0018  0.0625  0.2323  0.2919  0.26
Groot 1988   24  0.6571  0.0050  0.0557  0.0554  0.0462  0.04
Harasiewicz 1955   70  0.4128  0.0042  0.0545  0.1051  0.0552  0.07
Hatto 1993   80  0.3350  0.0032  0.0930  0.2173  0.0348  0.08
Hatto 1997   79  0.3572  0.0026  0.0826  0.2281  0.0250  0.07
Horowitz 1949   47  0.5218  0.0157  0.0459  0.0449  0.0560  0.04
Indjic 1988   81  0.3353  0.0031  0.0529  0.2157  0.0345  0.08
Kapell 1951   42  0.5623  0.0166  0.0368  0.0360  0.0468  0.03
Kissin 1993   13  0.689  0.026  0.165  0.4617  0.437  0.44
Kushner 1989   10  0.685  0.048  0.0917  0.2930  0.2516  0.27
Luisada 1991   33  0.5911  0.0130  0.0621  0.2627  0.2618  0.26
Lushtak 2004   57  0.4831  0.0025  0.0620  0.2675  0.0343  0.09
Malcuzynski 1961   4  0.7514  0.0110  0.0724  0.2335  0.1724  0.20
Magaloff 1978   1  0.801  0.221  0.222  0.5011  0.442  0.47
Magin 1975   38  0.5873  0.0041  0.0543  0.1234  0.2027  0.15
Michalowski 1933   82  0.2660  0.0083  0.0284  0.0254  0.0571  0.03
Milkina 1970   3  0.786  0.034  0.146  0.4512  0.436  0.44
Mohovich 1999   9  0.6933  0.0022  0.0711  0.3547  0.0535  0.13
Moravec 1969   46  0.5226  0.0164  0.0461  0.0452  0.0457  0.04
Morozova 2008   75  0.3734  0.0065  0.0463  0.0475  0.0375  0.03
Neighaus 1950   22  0.6654  0.0043  0.0641  0.1448  0.0547  0.08
Niedzielski 1931   51  0.4991  0.0075  0.0375  0.0360  0.0466  0.03
Ohlsson 1999   7  0.7020  0.0121  0.0716  0.3031  0.1921  0.24
Osinska 1989   28  0.6325  0.0129  0.0540  0.1432  0.2026  0.17
Pachmann 1927   55  0.4862  0.0035  0.0627  0.2223  0.3515  0.28
Paderewski 1930   26  0.6435  0.0048  0.0747  0.0723  0.2434  0.13
Perlemuter 1992   68  0.4355  0.0054  0.0554  0.0584  0.0359  0.04
Pierdomenico 2008   21  0.6665  0.0012  0.0723  0.2312  0.3813  0.30
Poblocka 1999   12  0.6829  0.0033  0.0734  0.1944  0.1129  0.14
Rabcewiczowa 1932   56  0.4847  0.0080  0.0370  0.0364  0.0367  0.03
Rachmaninoff 1923   77  0.3674  0.0067  0.0373  0.0357  0.0465  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   52  0.4988  0.0061  0.0367  0.0358  0.0470  0.03
Rosen 1989   5  0.747  0.037  0.143  0.4816  0.434  0.45
Rosenthal 1930   63  0.4656  0.0077  0.0280  0.0264  0.0479  0.03
Rosenthal 1931   48  0.5285  0.0052  0.0648  0.0622  0.3531  0.14
Rosenthal 1931b   45  0.5389  0.0051  0.0558  0.0518  0.3733  0.14
Rosenthal 1931c   40  0.5761  0.0055  0.0555  0.0542  0.1153  0.07
Rosenthal 1931d   29  0.6266  0.0039  0.0436  0.1716  0.3620  0.25
Rossi 2007   86  0.1886  0.0062  0.0462  0.0467  0.0364  0.03
Rubinstein 1939   78  0.3657  0.0059  0.0556  0.0517  0.4130  0.14
Rubinstein 1952   20  0.6651  0.0027  0.078  0.418  0.543  0.47
Rubinstein 1966   27  0.6315  0.0124  0.0714  0.3014  0.4510  0.37
Schilhawsky 1960   60  0.4780  0.0073  0.0464  0.0484  0.0374  0.03
Shebanova 2002   15  0.6713  0.0119  0.0619  0.2815  0.4711  0.36
Smith 1975   41  0.5745  0.0047  0.0651  0.0663  0.0455  0.05
Sokolov 2002   50  0.5163  0.0078  0.0377  0.0385  0.0285  0.02
Sztompka 1959   71  0.4149  0.0082  0.0281  0.0277  0.0386  0.02
Tomsic 1995   18  0.6646  0.0038  0.0528  0.2256  0.0442  0.09
Uninsky 1932   76  0.3675  0.0081  0.0282  0.0256  0.0577  0.03
Uninsky 1971   61  0.4617  0.0171  0.0366  0.0376  0.0372  0.03
Wasowski 1980   62  0.4676  0.0060  0.0552  0.0575  0.0358  0.04
Zak 1937   43  0.5439  0.0037  0.0537  0.1652  0.0541  0.09
Zak 1951   49  0.5236  0.0036  0.0635  0.1864  0.0444  0.08
Average   6  0.7419  0.0113  0.097  0.4265  0.0336  0.11
Random 1   91  -0.0141  0.0091  0.0191  0.0143  0.1661  0.04
Random 2   90  0.0282  0.0079  0.0374  0.0310  0.3937  0.11
Random 3   87  0.1390  0.0088  0.0286  0.0264  0.0480  0.03

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).