Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.5816  0.0144  0.0643  0.1175  0.0353  0.06
Anderszewski 2003   53  0.4831  0.0062  0.0464  0.0465  0.0372  0.03
Ashkenazy 1981   33  0.5967  0.0033  0.0538  0.1559  0.0445  0.08
Bacha 2000   10  0.6858  0.0019  0.0631  0.2117  0.3814  0.28
Badura 1965   52  0.4826  0.0027  0.0532  0.2035  0.2223  0.21
Barbosa 1983   71  0.4047  0.0016  0.0721  0.2353  0.0438  0.10
Biret 1990   15  0.6729  0.0043  0.0541  0.1258  0.0450  0.07
Blet 2003   43  0.543  0.143  0.1812  0.3131  0.1722  0.23
Block 1995   22  0.6521  0.0114  0.0930  0.2111  0.3517  0.27
Blumental 1952   83  0.2082  0.0083  0.0288  0.0283  0.0288  0.02
Boshniakovich 1969   18  0.6610  0.0211  0.0711  0.349  0.428  0.38
Brailowsky 1960   16  0.6723  0.0113  0.0814  0.3011  0.4112  0.35
Bunin 1987   64  0.4438  0.0069  0.0371  0.0376  0.0381  0.03
Bunin 1987b   63  0.4468  0.0068  0.0375  0.0375  0.0368  0.03
Chiu 1999   57  0.4820  0.0122  0.079  0.3820  0.369  0.37
Cohen 1997   65  0.4478  0.0052  0.0649  0.0621  0.3232  0.14
Cortot 1951   66  0.4441  0.0084  0.0286  0.0274  0.0389  0.02
Csalog 1996   38  0.5851  0.0045  0.0745  0.0719  0.4425  0.18
Czerny 1949   72  0.3876  0.0073  0.0370  0.0385  0.0287  0.02
Czerny 1990   36  0.5842  0.0057  0.0459  0.0470  0.0460  0.04
Duchoud 2007   24  0.645  0.059  0.0917  0.2963  0.0437  0.11
Ezaki 2006   13  0.6739  0.0015  0.088  0.3951  0.0529  0.14
Falvay 1989   34  0.5857  0.0039  0.0537  0.1653  0.0539  0.09
Farrell 1958   30  0.6113  0.0155  0.0552  0.0543  0.1048  0.07
Ferenczy 1958   68  0.4286  0.0085  0.0284  0.0274  0.0386  0.02
Fliere 1977   2  0.782  0.212  0.261  0.588  0.421  0.49
Fou 1978   31  0.608  0.035  0.144  0.4716  0.425  0.44
Francois 1956   58  0.4780  0.0071  0.0368  0.0369  0.0483  0.03
Friedman 1923   88  0.0464  0.0089  0.0189  0.0159  0.0590  0.02
Friedman 1923b   87  0.0537  0.0088  0.0287  0.0259  0.0582  0.03
Friedman 1930   84  0.1977  0.0067  0.0278  0.0266  0.0475  0.03
Garcia 2007   73  0.3883  0.0075  0.0377  0.0370  0.0377  0.03
Garcia 2007b   82  0.2163  0.0086  0.0282  0.0238  0.1062  0.04
Gierzod 1998   29  0.6143  0.0048  0.0648  0.0646  0.0555  0.05
Gornostaeva 1994   7  0.6969  0.0017  0.0624  0.2322  0.2919  0.26
Groot 1988   23  0.6570  0.0049  0.0556  0.0553  0.0461  0.04
Harasiewicz 1955   69  0.4127  0.0041  0.0544  0.1050  0.0551  0.07
Hatto 1993   79  0.3348  0.0031  0.0929  0.2172  0.0347  0.08
Hatto 1997   78  0.3571  0.0025  0.0825  0.2280  0.0249  0.07
Horowitz 1949   46  0.5218  0.0156  0.0458  0.0448  0.0559  0.04
Indjic 1988   80  0.3352  0.0030  0.0528  0.2156  0.0344  0.08
Kapell 1951   41  0.5622  0.0165  0.0367  0.0359  0.0467  0.03
Kissin 1993   12  0.689  0.026  0.165  0.4616  0.437  0.44
Kushner 1989   9  0.684  0.058  0.0916  0.2929  0.2516  0.27
Luisada 1991   32  0.5911  0.0129  0.0620  0.2626  0.2618  0.26
Lushtak 2004   56  0.4830  0.0024  0.0719  0.2674  0.0342  0.09
Malcuzynski 1961   4  0.7512  0.0110  0.0823  0.2334  0.1724  0.20
Magaloff 1978   1  0.801  0.221  0.222  0.5010  0.442  0.47
Magin 1975   37  0.5872  0.0040  0.0542  0.1233  0.2028  0.15
Michalowski 1933   81  0.2659  0.0082  0.0283  0.0253  0.0570  0.03
Milkina 1970   3  0.787  0.034  0.146  0.4511  0.436  0.44
Mohovich 1999   8  0.6932  0.0021  0.0810  0.3546  0.0535  0.13
Moravec 1969   45  0.5225  0.0163  0.0460  0.0451  0.0456  0.04
Morozova 2008   74  0.3733  0.0064  0.0462  0.0474  0.0374  0.03
Neighaus 1950   21  0.6653  0.0042  0.0640  0.1447  0.0546  0.08
Niedzielski 1931   50  0.4990  0.0074  0.0374  0.0359  0.0465  0.03
Ohlsson 1999   6  0.7019  0.0120  0.0715  0.3030  0.1921  0.24
Osinska 1989   27  0.6324  0.0128  0.0539  0.1431  0.2026  0.17
Pachmann 1927   54  0.4862  0.0034  0.0626  0.2222  0.3515  0.28
Paderewski 1930   25  0.6434  0.0047  0.0746  0.0722  0.2434  0.13
Perlemuter 1992   67  0.4354  0.0053  0.0553  0.0583  0.0358  0.04
Pierdomenico 2008   20  0.6665  0.0012  0.0722  0.2311  0.3813  0.30
Poblocka 1999   11  0.6828  0.0032  0.0733  0.1943  0.1130  0.14
Rabcewiczowa 1932   55  0.4845  0.0079  0.0369  0.0363  0.0466  0.03
Rachmaninoff 1923   76  0.3673  0.0066  0.0372  0.0356  0.0464  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   51  0.4987  0.0060  0.0366  0.0357  0.0469  0.03
Rosen 1989   5  0.746  0.037  0.143  0.4815  0.434  0.45
Rosenthal 1930   62  0.4655  0.0076  0.0279  0.0263  0.0478  0.03
Rosenthal 1931   47  0.5284  0.0051  0.0747  0.0721  0.3527  0.16
Rosenthal 1931b   44  0.5388  0.0050  0.0557  0.0517  0.3733  0.14
Rosenthal 1931c   39  0.5760  0.0054  0.0554  0.0541  0.1152  0.07
Rosenthal 1931d   28  0.6266  0.0038  0.0435  0.1715  0.3620  0.25
Rossi 2007   85  0.1885  0.0061  0.0461  0.0466  0.0363  0.03
Rubinstein 1939   77  0.3656  0.0058  0.0555  0.0517  0.4131  0.14
Rubinstein 1952   19  0.6650  0.0026  0.077  0.418  0.543  0.47
Rubinstein 1966   26  0.6315  0.0123  0.0713  0.3013  0.4510  0.37
Schilhawsky 1960   59  0.4779  0.0072  0.0463  0.0483  0.0373  0.03
Shebanova 2002   14  0.6714  0.0118  0.0618  0.2814  0.4711  0.36
Smith 1975   40  0.5744  0.0046  0.0650  0.0662  0.0454  0.05
Sokolov 2002   49  0.5161  0.0077  0.0376  0.0384  0.0284  0.02
Sztompka 1959   70  0.4149  0.0081  0.0280  0.0276  0.0385  0.02
Tomsic 1995   17  0.6646  0.0037  0.0527  0.2255  0.0441  0.09
Uninsky 1932   75  0.3674  0.0080  0.0281  0.0255  0.0576  0.03
Uninsky 1971   60  0.4617  0.0170  0.0465  0.0475  0.0371  0.03
Wasowski 1980   61  0.4675  0.0059  0.0551  0.0574  0.0357  0.04
Zak 1937   42  0.5436  0.0036  0.0536  0.1651  0.0540  0.09
Zak 1951   48  0.5235  0.0035  0.0634  0.1863  0.0443  0.08
Random 1   90  -0.0140  0.0090  0.0190  0.0145  0.0879  0.03
Random 2   89  0.0281  0.0078  0.0373  0.0310  0.3736  0.11
Random 3   86  0.1389  0.0087  0.0285  0.0265  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).