Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  -0.0155  0.0012  0.099  0.4387  0.0210  0.09
Anderszewski 2003   68  -0.1543  0.0073  0.0363  0.0391  0.0161  0.02
Ashkenazy 1981   14  -0.0182  0.0030  0.0629  0.1890  0.0224  0.06
Bacha 2000   27  -0.0524  0.0065  0.0378  0.0390  0.0251  0.02
Badura 1965   11  0.0071  0.004  0.152  0.5689  0.024  0.11
Barbosa 1983   33  -0.0622  0.0151  0.0367  0.0390  0.0160  0.02
Biret 1990   5  0.017  0.0236  0.0538  0.1189  0.0148  0.03
Blet 2003   66  -0.1467  0.0050  0.0366  0.0390  0.0162  0.02
Block 1995   87  -0.2857  0.0087  0.0287  0.0291  0.0190  0.01
Blumental 1952   26  -0.0468  0.0058  0.0369  0.0389  0.0168  0.02
Boshniakovich 1969   78  -0.1778  0.0054  0.0360  0.0390  0.0169  0.02
Brailowsky 1960   75  -0.1679  0.0080  0.0377  0.0390  0.0152  0.02
Bunin 1987   23  -0.0329  0.0017  0.1312  0.3990  0.0125  0.06
Bunin 1987b   20  -0.0210  0.0116  0.1211  0.3990  0.0121  0.06
Chiu 1999   17  -0.0166  0.0040  0.0440  0.0990  0.0236  0.04
Cohen 1997   6  0.0138  0.0048  0.0362  0.0390  0.0170  0.02
Cortot 1951   76  -0.1632  0.0043  0.0444  0.0791  0.0149  0.03
Csalog 1996   82  -0.2272  0.0081  0.0281  0.0291  0.0188  0.01
Czerny 1949   65  -0.1447  0.0039  0.0436  0.1390  0.0233  0.05
Czerny 1990   67  -0.1556  0.0053  0.0452  0.0489  0.0172  0.02
Duchoud 2007   15  -0.0123  0.0019  0.1013  0.3390  0.0123  0.06
Ezaki 2006   49  -0.1163  0.0057  0.0370  0.0391  0.0150  0.02
Falvay 1989   79  -0.2151  0.0071  0.0356  0.0390  0.0153  0.02
Farrell 1958   29  -0.0644  0.0068  0.0451  0.0489  0.0155  0.02
Ferenczy 1958   85  -0.2521  0.0182  0.0285  0.0291  0.0189  0.01
Fliere 1977   50  -0.1176  0.0032  0.0534  0.1489  0.0227  0.05
Fou 1978   25  -0.0480  0.0047  0.0361  0.0389  0.0256  0.02
Francois 1956   63  -0.1333  0.0022  0.1025  0.2190  0.0226  0.06
Friedman 1923   39  -0.0869  0.0045  0.0445  0.0789  0.0241  0.04
Friedman 1923b   37  -0.0835  0.0046  0.0446  0.0489  0.0247  0.03
Friedman 1930   61  -0.1370  0.0055  0.0365  0.0389  0.0265  0.02
Garcia 2007   43  -0.0989  0.0059  0.0354  0.0389  0.0167  0.02
Garcia 2007b   57  -0.1387  0.0074  0.0357  0.0390  0.0180  0.02
Gierzod 1998   40  -0.0874  0.0034  0.0531  0.1589  0.0234  0.05
Gornostaeva 1994   88  -0.305  0.0377  0.0379  0.0391  0.0171  0.02
Groot 1988   60  -0.1352  0.0079  0.0380  0.0391  0.0174  0.02
Harasiewicz 1955   69  -0.1564  0.0060  0.0364  0.0391  0.0176  0.02
Hatto 1993   4  0.0290  0.0014  0.1217  0.3089  0.0214  0.08
Hatto 1997   9  0.0081  0.0015  0.1218  0.3089  0.0213  0.08
Horowitz 1949   42  -0.0914  0.0123  0.0832  0.1589  0.0138  0.04
Indjic 1988   8  0.0031  0.0013  0.0915  0.3089  0.0212  0.08
Kapell 1951   73  -0.1636  0.0062  0.0376  0.0391  0.0157  0.02
Kissin 1993   45  -0.1062  0.0031  0.0530  0.1789  0.0222  0.06
Kushner 1989   46  -0.1088  0.0025  0.0626  0.2189  0.0220  0.06
Luisada 1991   28  -0.0517  0.0152  0.0450  0.0489  0.0243  0.03
Lushtak 2004   31  -0.0683  0.0044  0.0441  0.0890  0.0145  0.03
Malcuzynski 1961   90  -0.3041  0.0088  0.0289  0.0291  0.0186  0.01
Magaloff 1978   38  -0.0828  0.0035  0.0439  0.1089  0.0237  0.04
Magin 1975   48  -0.1016  0.0121  0.0914  0.3290  0.0119  0.06
Michalowski 1933   32  -0.0630  0.009  0.086  0.4787  0.026  0.10
Milkina 1970   71  -0.1554  0.0076  0.0453  0.0491  0.0158  0.02
Mohovich 1999   74  -0.1658  0.0084  0.0284  0.0291  0.0191  0.01
Moravec 1969   81  -0.218  0.0241  0.0442  0.0891  0.0142  0.03
Morozova 2008   2  0.0626  0.003  0.183  0.5386  0.027  0.10
Neighaus 1950   44  -0.1077  0.0056  0.0358  0.0389  0.0275  0.02
Niedzielski 1931   86  -0.2750  0.0083  0.0282  0.0290  0.0185  0.01
Ohlsson 1999   3  0.0365  0.0010  0.084  0.5089  0.025  0.10
Osinska 1989   83  -0.2311  0.0185  0.0283  0.0291  0.0182  0.01
Pachmann 1927   10  0.001  0.501  0.491  0.6965  0.033  0.14
Paderewski 1930   35  -0.0739  0.0033  0.0437  0.1389  0.0231  0.05
Perlemuter 1992   24  -0.0437  0.0026  0.0527  0.1989  0.0217  0.06
Pierdomenico 2008   36  -0.079  0.012  0.1822  0.2390  0.0216  0.07
Poblocka 1999   72  -0.1584  0.0029  0.0528  0.1889  0.0218  0.06
Rabcewiczowa 1932   12  0.0015  0.0120  0.0919  0.2989  0.0211  0.08
Rachmaninoff 1923   13  -0.0140  0.0018  0.127  0.4489  0.028  0.09
Rangell 2001   70  -0.1512  0.0178  0.0372  0.0391  0.0173  0.02
Richter 1976   51  -0.114  0.047  0.1316  0.3090  0.0130  0.05
Rosen 1989   62  -0.1359  0.0072  0.0447  0.0489  0.0246  0.03
Rosenthal 1930   53  -0.1220  0.0137  0.0433  0.1490  0.0235  0.05
Rosenthal 1931   64  -0.1425  0.0070  0.0448  0.0489  0.0244  0.03
Rosenthal 1931b   54  -0.1248  0.0069  0.0355  0.0389  0.0277  0.02
Rosenthal 1931c   58  -0.1342  0.0063  0.0373  0.0389  0.0278  0.02
Rosenthal 1931d   55  -0.1260  0.0042  0.0443  0.0889  0.0240  0.04
Rossi 2007   84  -0.2534  0.0091  0.0191  0.0191  0.0183  0.01
Rubinstein 1939   52  -0.1253  0.0075  0.0371  0.0391  0.0154  0.02
Rubinstein 1952   22  -0.0313  0.0164  0.0375  0.0389  0.0179  0.02
Rubinstein 1966   30  -0.0619  0.0161  0.0359  0.0390  0.0163  0.02
Schilhawsky 1960   19  -0.026  0.035  0.1610  0.4289  0.029  0.09
Shebanova 2002   34  -0.0718  0.0149  0.0368  0.0389  0.0266  0.02
Smith 1975   89  -0.3085  0.0090  0.0190  0.0190  0.0184  0.01
Sokolov 2002   1  0.0827  0.0011  0.105  0.4889  0.0115  0.07
Sztompka 1959   47  -0.1086  0.0066  0.0374  0.0389  0.0159  0.02
Tomsic 1995   91  -0.3046  0.0089  0.0286  0.0291  0.0187  0.01
Uninsky 1932   59  -0.1375  0.0038  0.0535  0.1489  0.0139  0.04
Uninsky 1971   77  -0.1649  0.0024  0.0721  0.2590  0.0132  0.05
Wasowski 1980   80  -0.2173  0.0086  0.0288  0.0291  0.0181  0.01
Zak 1937   21  -0.0345  0.0028  0.0724  0.2289  0.0128  0.05
Zak 1951   18  -0.0161  0.0027  0.0523  0.2289  0.0129  0.05
Average   56  -0.1291  0.0067  0.0449  0.0489  0.0164  0.02
Random 1   7  0.002  0.106  0.128  0.434  0.561  0.49
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   41  -0.093  0.058  0.1120  0.2916  0.392  0.34

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).