Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.3449  0.0012  0.1210  0.4923  0.4513  0.47
Anderszewski 2003   62  0.2357  0.0035  0.0535  0.2124  0.4528  0.31
Ashkenazy 1981   71  0.2163  0.0076  0.0472  0.0479  0.0477  0.04
Bacha 2000   50  0.2654  0.0043  0.0544  0.0933  0.2540  0.15
Badura 1965   45  0.2761  0.0040  0.0542  0.1229  0.3935  0.22
Barbosa 1983   14  0.366  0.0513  0.1114  0.4423  0.4315  0.43
Biret 1990   69  0.2264  0.0058  0.0648  0.0633  0.4041  0.15
Blet 2003   55  0.2537  0.0057  0.0651  0.0647  0.0851  0.07
Block 1995   38  0.2985  0.0063  0.0555  0.0568  0.0476  0.04
Blumental 1952   74  0.1853  0.0081  0.0283  0.0279  0.0388  0.02
Boshniakovich 1969   5  0.441  0.191  0.194  0.6611  0.612  0.63
Brailowsky 1960   16  0.3515  0.0116  0.1013  0.449  0.619  0.52
Bunin 1987   70  0.2186  0.0074  0.0474  0.0469  0.0478  0.04
Bunin 1987b   68  0.2265  0.0073  0.0477  0.0461  0.0569  0.04
Chiu 1999   15  0.364  0.0810  0.0917  0.4053  0.0738  0.17
Cohen 1997   37  0.309  0.0218  0.1025  0.3322  0.4921  0.40
Cortot 1951   17  0.3516  0.0117  0.1011  0.4813  0.598  0.53
Csalog 1996   72  0.1950  0.0072  0.0475  0.0474  0.0474  0.04
Czerny 1949   78  0.1710  0.0247  0.0647  0.0628  0.5637  0.18
Czerny 1990   44  0.2729  0.0059  0.0560  0.0545  0.0952  0.07
Duchoud 2007   25  0.3414  0.0131  0.0832  0.2643  0.1536  0.20
Ezaki 2006   26  0.3312  0.027  0.138  0.5317  0.625  0.57
Falvay 1989   41  0.2858  0.0045  0.0562  0.0539  0.1648  0.09
Farrell 1958   20  0.3428  0.0025  0.0724  0.3411  0.5216  0.42
Ferenczy 1958   60  0.2434  0.0042  0.0640  0.1323  0.7029  0.30
Fliere 1977   8  0.4035  0.009  0.129  0.5242  0.3220  0.41
Fou 1978   12  0.3726  0.0011  0.0912  0.4821  0.4214  0.45
Francois 1956   65  0.2267  0.0046  0.0561  0.0529  0.4142  0.14
Friedman 1923   18  0.3519  0.0115  0.1122  0.3543  0.2034  0.26
Friedman 1923b   19  0.357  0.0314  0.1021  0.3542  0.2432  0.29
Friedman 1930   51  0.2662  0.0053  0.0559  0.0552  0.0756  0.06
Garcia 2007   2  0.465  0.085  0.193  0.668  0.651  0.65
Garcia 2007b   85  0.0887  0.0085  0.0382  0.0381  0.0386  0.03
Gierzod 1998   61  0.2366  0.0054  0.0566  0.0538  0.2147  0.10
Gornostaeva 1994   53  0.2677  0.0036  0.0539  0.1825  0.4733  0.29
Groot 1988   67  0.2280  0.0062  0.0567  0.0567  0.0562  0.05
Harasiewicz 1955   7  0.4011  0.028  0.137  0.5419  0.4511  0.49
Hatto 1993   75  0.1878  0.0079  0.0284  0.0268  0.0585  0.03
Hatto 1997   80  0.1532  0.0080  0.0380  0.0382  0.0383  0.03
Horowitz 1949   30  0.3251  0.0051  0.0568  0.0555  0.0660  0.05
Indjic 1988   84  0.1468  0.0084  0.0378  0.0371  0.0573  0.04
Kapell 1951   10  0.4021  0.0020  0.1015  0.4334  0.2031  0.29
Kissin 1993   73  0.1881  0.0078  0.0285  0.0267  0.0582  0.03
Kushner 1989   39  0.2833  0.0041  0.0541  0.1271  0.0450  0.07
Luisada 1991   56  0.2525  0.0070  0.0650  0.0668  0.0557  0.05
Lushtak 2004   21  0.3422  0.0023  0.0820  0.3813  0.4618  0.42
Malcuzynski 1961   66  0.2244  0.0075  0.0471  0.0478  0.0381  0.03
Magaloff 1978   49  0.2779  0.0055  0.0558  0.0545  0.0753  0.06
Magin 1975   87  0.0082  0.0087  0.0288  0.0285  0.0287  0.02
Michalowski 1933   81  0.1459  0.0083  0.0379  0.0371  0.0572  0.04
Milkina 1970   54  0.2538  0.0034  0.0830  0.2724  0.4325  0.34
Mohovich 1999   6  0.4123  0.006  0.136  0.5813  0.566  0.57
Moravec 1969   36  0.3040  0.0050  0.0552  0.0568  0.0464  0.04
Morozova 2008   33  0.3169  0.0028  0.0631  0.2776  0.0445  0.10
Neighaus 1950   3  0.453  0.173  0.291  0.6813  0.494  0.58
Niedzielski 1931   42  0.2846  0.0061  0.0470  0.0462  0.0568  0.04
Ohlsson 1999   57  0.2572  0.0065  0.0557  0.0577  0.0471  0.04
Osinska 1989   28  0.3230  0.0033  0.0827  0.3129  0.4422  0.37
Pachmann 1927   34  0.3074  0.0052  0.0563  0.0550  0.0755  0.06
Paderewski 1930   59  0.2488  0.0056  0.0469  0.0467  0.0570  0.04
Perlemuter 1992   63  0.2370  0.0068  0.0554  0.0559  0.0465  0.04
Pierdomenico 2008   52  0.2642  0.0077  0.0476  0.0463  0.0466  0.04
Poblocka 1999   22  0.3427  0.0024  0.0623  0.3430  0.3126  0.32
Rabcewiczowa 1932   32  0.3124  0.0022  0.0918  0.3920  0.6410  0.50
Rachmaninoff 1923   43  0.2873  0.0060  0.0649  0.0650  0.0558  0.05
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   40  0.2843  0.0067  0.0745  0.0762  0.0554  0.06
Rosen 1989   1  0.472  0.172  0.232  0.6714  0.583  0.62
Rosenthal 1930   29  0.3252  0.0038  0.0737  0.1917  0.4830  0.30
Rosenthal 1931   64  0.2239  0.0027  0.0734  0.2224  0.5624  0.35
Rosenthal 1931b   35  0.3041  0.0026  0.0829  0.2918  0.6219  0.42
Rosenthal 1931c   27  0.3318  0.0119  0.1416  0.4213  0.5812  0.49
Rosenthal 1931d   48  0.2713  0.0237  0.0536  0.1915  0.5327  0.32
Rossi 2007   88  -0.0689  0.0088  0.0287  0.0255  0.0580  0.03
Rubinstein 1939   77  0.1783  0.0069  0.0564  0.0572  0.0467  0.04
Rubinstein 1952   79  0.1790  0.0066  0.0646  0.0657  0.0563  0.05
Rubinstein 1966   4  0.448  0.034  0.185  0.626  0.517  0.56
Schilhawsky 1960   82  0.1436  0.0082  0.0381  0.0353  0.0575  0.04
Shebanova 2002   13  0.3731  0.0029  0.0826  0.3151  0.0839  0.16
Smith 1975   76  0.1775  0.0049  0.0553  0.0535  0.2444  0.11
Sokolov 2002   83  0.1420  0.0071  0.0473  0.0477  0.0379  0.03
Sztompka 1959   47  0.2747  0.0064  0.0565  0.0566  0.0561  0.05
Tomsic 1995   58  0.2445  0.0048  0.0556  0.0548  0.0659  0.05
Uninsky 1932   24  0.3460  0.0032  0.0938  0.1964  0.0546  0.10
Uninsky 1971   46  0.2771  0.0039  0.0733  0.2452  0.0743  0.13
Wasowski 1980   31  0.3155  0.0044  0.0543  0.1052  0.0649  0.08
Zak 1937   9  0.4017  0.0121  0.1019  0.3819  0.4717  0.42
Zak 1951   11  0.3748  0.0030  0.0728  0.2920  0.4723  0.37
Random 1   90  -0.1356  0.0090  0.0190  0.0189  0.0190  0.01
Random 2   86  0.0076  0.0086  0.0286  0.0251  0.0684  0.03
Random 3   89  -0.0884  0.0089  0.0289  0.0276  0.0289  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).