Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.5747  0.0026  0.0921  0.3450  0.0633  0.14
Anderszewski 2003   21  0.5734  0.0038  0.0637  0.1870  0.0451  0.08
Ashkenazy 1981   69  0.4586  0.0071  0.0466  0.0470  0.0385  0.03
Bacha 2000   33  0.5314  0.0140  0.0640  0.1532  0.2226  0.18
Badura 1965   76  0.4177  0.0078  0.0476  0.0470  0.0474  0.04
Barbosa 1983   34  0.539  0.0117  0.0625  0.3132  0.3315  0.32
Biret 1990   7  0.6133  0.0012  0.1015  0.4235  0.2220  0.30
Blet 2003   72  0.4288  0.0079  0.0288  0.0287  0.0289  0.02
Block 1995   75  0.4157  0.0075  0.0285  0.0248  0.0684  0.03
Blumental 1952   8  0.607  0.029  0.1111  0.4334  0.1921  0.29
Boshniakovich 1969   55  0.5022  0.0147  0.0650  0.0679  0.0461  0.05
Brailowsky 1960   6  0.6117  0.0120  0.0623  0.3216  0.546  0.42
Bunin 1987   87  0.3448  0.0087  0.0380  0.0353  0.0576  0.04
Bunin 1987b   88  0.3375  0.0088  0.0469  0.0457  0.0567  0.04
Chiu 1999   51  0.5136  0.0035  0.0539  0.1643  0.1135  0.13
Cohen 1997   83  0.3869  0.0080  0.0286  0.0232  0.2157  0.06
Cortot 1951   65  0.4664  0.0074  0.0464  0.0440  0.1852  0.08
Csalog 1996   81  0.3958  0.0076  0.0384  0.0380  0.0381  0.03
Czerny 1949   30  0.5559  0.0036  0.0532  0.2462  0.0540  0.11
Czerny 1990   5  0.612  0.043  0.164  0.5339  0.1916  0.32
Duchoud 2007   84  0.3651  0.0086  0.0383  0.0371  0.0483  0.03
Ezaki 2006   13  0.5937  0.0027  0.0824  0.3146  0.0829  0.16
Falvay 1989   11  0.595  0.0316  0.0914  0.4220  0.474  0.44
Farrell 1958   15  0.5824  0.014  0.136  0.5228  0.402  0.46
Ferenczy 1958   79  0.4070  0.0082  0.0381  0.0380  0.0382  0.03
Fliere 1977   10  0.606  0.027  0.137  0.5043  0.1422  0.26
Fou 1978   31  0.5432  0.0034  0.0636  0.1958  0.0541  0.10
Francois 1956   37  0.5325  0.0032  0.0531  0.2626  0.4411  0.34
Friedman 1923   68  0.4578  0.0069  0.0647  0.0658  0.0563  0.05
Friedman 1923b   67  0.4589  0.0066  0.0556  0.0568  0.0562  0.05
Friedman 1930   66  0.4683  0.0068  0.0465  0.0459  0.0571  0.04
Garcia 2007   77  0.4173  0.0081  0.0379  0.0356  0.0573  0.04
Garcia 2007b   61  0.4753  0.0060  0.0463  0.0486  0.0388  0.03
Gierzod 1998   2  0.634  0.032  0.142  0.6444  0.1518  0.31
Gornostaeva 1994   16  0.5830  0.0024  0.0716  0.3824  0.3510  0.36
Groot 1988   35  0.538  0.0110  0.1113  0.4318  0.377  0.40
Harasiewicz 1955   52  0.5081  0.0064  0.0462  0.0478  0.0387  0.03
Hatto 1993   43  0.5210  0.0129  0.0629  0.2753  0.0537  0.12
Hatto 1997   42  0.5245  0.0033  0.0533  0.2167  0.0446  0.09
Horowitz 1949   78  0.4190  0.0083  0.0473  0.0448  0.0856  0.06
Indjic 1988   38  0.5229  0.0031  0.0530  0.2654  0.0539  0.11
Kapell 1951   54  0.5019  0.0163  0.0474  0.0482  0.0379  0.03
Kissin 1993   26  0.5621  0.0125  0.0619  0.3748  0.0631  0.15
Kushner 1989   24  0.5682  0.0037  0.0535  0.1971  0.0444  0.09
Luisada 1991   28  0.5528  0.0023  0.0527  0.3061  0.0536  0.12
Lushtak 2004   27  0.5546  0.0018  0.0622  0.3338  0.2124  0.26
Malcuzynski 1961   53  0.5062  0.0042  0.0542  0.1348  0.0548  0.08
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   57  0.4949  0.0058  0.0746  0.0780  0.0358  0.05
Michalowski 1933   85  0.3571  0.0084  0.0382  0.0360  0.0568  0.04
Milkina 1970   3  0.633  0.046  0.153  0.5644  0.1814  0.32
Mohovich 1999   45  0.5179  0.0055  0.0555  0.0582  0.0475  0.04
Moravec 1969   25  0.5613  0.0128  0.0628  0.2817  0.509  0.37
Morozova 2008   58  0.4867  0.0057  0.0649  0.0659  0.0560  0.05
Neighaus 1950   46  0.5163  0.0050  0.0468  0.0475  0.0477  0.04
Niedzielski 1931   64  0.4638  0.0039  0.0538  0.1751  0.0543  0.09
Ohlsson 1999   40  0.5235  0.0051  0.0460  0.0444  0.1354  0.07
Osinska 1989   9  0.6054  0.0013  0.1110  0.4650  0.0727  0.18
Pachmann 1927   71  0.4272  0.0077  0.0378  0.0339  0.2050  0.08
Paderewski 1930   73  0.4255  0.0061  0.0467  0.0430  0.2938  0.11
Perlemuter 1992   74  0.4284  0.0072  0.0472  0.0481  0.0378  0.03
Pierdomenico 2008   82  0.3811  0.0145  0.0545  0.0951  0.0653  0.07
Poblocka 1999   56  0.4960  0.0065  0.0554  0.0576  0.0464  0.04
Rabcewiczowa 1932   17  0.5843  0.0015  0.1117  0.3731  0.2419  0.30
Rachmaninoff 1923   4  0.6312  0.015  0.175  0.5314  0.411  0.47
Rangell 2001   80  0.4042  0.0073  0.0477  0.0478  0.0386  0.03
Richter 1976   86  0.3574  0.0085  0.0287  0.0266  0.0480  0.03
Rosen 1989   39  0.5261  0.0043  0.0543  0.1175  0.0455  0.07
Rosenthal 1930   29  0.5523  0.0130  0.0534  0.2113  0.5313  0.33
Rosenthal 1931   50  0.5144  0.0054  0.0652  0.0616  0.5128  0.17
Rosenthal 1931b   48  0.5187  0.0056  0.0553  0.0517  0.5030  0.16
Rosenthal 1931c   20  0.5731  0.0021  0.0718  0.3713  0.583  0.46
Rosenthal 1931d   47  0.5176  0.0053  0.0459  0.0415  0.5432  0.15
Rossi 2007   59  0.4839  0.0046  0.0648  0.0631  0.3034  0.13
Rubinstein 1939   18  0.5766  0.0019  0.0620  0.3429  0.3312  0.33
Rubinstein 1952   23  0.5620  0.018  0.108  0.4826  0.385  0.43
Rubinstein 1966   14  0.5840  0.0022  0.0626  0.3041  0.1825  0.23
Schilhawsky 1960   63  0.4665  0.0059  0.0470  0.0458  0.0470  0.04
Shebanova 2002   12  0.5915  0.0111  0.099  0.4641  0.1523  0.26
Smith 1975   19  0.5727  0.0014  0.1012  0.4318  0.368  0.39
Sokolov 2002   49  0.5168  0.0052  0.0461  0.0462  0.0465  0.04
Sztompka 1959   32  0.5426  0.0041  0.0641  0.1452  0.0645  0.09
Tomsic 1995   60  0.4756  0.0067  0.0457  0.0438  0.1849  0.08
Uninsky 1932   62  0.4618  0.0162  0.0475  0.0455  0.0572  0.04
Uninsky 1971   70  0.4316  0.0170  0.0458  0.0468  0.0569  0.04
Wasowski 1980   44  0.5141  0.0044  0.0544  0.1056  0.0647  0.08
Zak 1937   36  0.5352  0.0048  0.0471  0.0471  0.0466  0.04
Zak 1951   41  0.5250  0.0049  0.0651  0.0683  0.0459  0.05
Average   1  0.711  0.591  0.581  0.7644  0.1317  0.31
Random 1   91  -0.1391  0.0091  0.0191  0.0179  0.0291  0.01
Random 2   89  0.0280  0.0089  0.0289  0.028  0.4742  0.10
Random 3   90  -0.0985  0.0090  0.0190  0.0160  0.0490  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).