Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.5744  0.0025  0.0920  0.3449  0.0632  0.14
Anderszewski 2003   20  0.5739  0.0037  0.0636  0.1869  0.0450  0.08
Ashkenazy 1981   68  0.4585  0.0070  0.0465  0.0469  0.0384  0.03
Bacha 2000   32  0.5318  0.0139  0.0639  0.1531  0.2225  0.18
Badura 1965   75  0.4174  0.0077  0.0475  0.0469  0.0473  0.04
Barbosa 1983   33  0.5315  0.0116  0.0624  0.3131  0.3315  0.32
Biret 1990   6  0.6135  0.0011  0.1114  0.4234  0.2219  0.30
Blet 2003   71  0.4287  0.0078  0.0287  0.0286  0.0288  0.02
Block 1995   74  0.4161  0.0074  0.0284  0.0247  0.0683  0.03
Blumental 1952   7  0.6010  0.038  0.1110  0.4333  0.1920  0.29
Boshniakovich 1969   54  0.5024  0.0146  0.0649  0.0678  0.0460  0.05
Brailowsky 1960   5  0.6114  0.0119  0.0622  0.3215  0.546  0.42
Bunin 1987   86  0.3450  0.0086  0.0379  0.0352  0.0575  0.04
Bunin 1987b   87  0.3376  0.0087  0.0468  0.0456  0.0566  0.04
Chiu 1999   50  0.5133  0.0034  0.0538  0.1642  0.1134  0.13
Cohen 1997   82  0.3870  0.0079  0.0285  0.0231  0.2156  0.06
Cortot 1951   64  0.4664  0.0073  0.0463  0.0439  0.1851  0.08
Csalog 1996   80  0.3962  0.0075  0.0383  0.0379  0.0380  0.03
Czerny 1949   29  0.5546  0.0035  0.0531  0.2461  0.0539  0.11
Czerny 1990   4  0.612  0.132  0.173  0.5338  0.1916  0.32
Duchoud 2007   83  0.3653  0.0085  0.0382  0.0370  0.0482  0.03
Ezaki 2006   12  0.5936  0.0026  0.0823  0.3145  0.0828  0.16
Falvay 1989   10  0.599  0.0315  0.0913  0.4219  0.474  0.44
Farrell 1958   14  0.588  0.043  0.135  0.5227  0.402  0.46
Ferenczy 1958   78  0.4071  0.0081  0.0380  0.0379  0.0381  0.03
Fliere 1977   9  0.603  0.126  0.136  0.5042  0.1421  0.26
Fou 1978   30  0.5437  0.0033  0.0635  0.1957  0.0540  0.10
Francois 1956   36  0.5329  0.0031  0.0530  0.2625  0.4411  0.34
Friedman 1923   67  0.4577  0.0068  0.0646  0.0657  0.0562  0.05
Friedman 1923b   66  0.4588  0.0065  0.0555  0.0567  0.0561  0.05
Friedman 1930   65  0.4682  0.0067  0.0464  0.0458  0.0570  0.04
Garcia 2007   76  0.4175  0.0080  0.0378  0.0355  0.0572  0.04
Garcia 2007b   60  0.4754  0.0059  0.0462  0.0485  0.0387  0.03
Gierzod 1998   1  0.631  0.151  0.151  0.6443  0.1517  0.31
Gornostaeva 1994   15  0.5832  0.0023  0.0715  0.3823  0.3510  0.36
Groot 1988   34  0.537  0.059  0.1112  0.4317  0.377  0.40
Harasiewicz 1955   51  0.5080  0.0063  0.0461  0.0477  0.0386  0.03
Hatto 1993   42  0.5216  0.0128  0.0628  0.2752  0.0536  0.12
Hatto 1997   41  0.5247  0.0032  0.0532  0.2166  0.0445  0.09
Horowitz 1949   77  0.4189  0.0082  0.0472  0.0447  0.0855  0.06
Indjic 1988   37  0.5234  0.0030  0.0529  0.2653  0.0538  0.11
Kapell 1951   53  0.5021  0.0162  0.0473  0.0481  0.0378  0.03
Kissin 1993   25  0.5622  0.0124  0.0618  0.3747  0.0630  0.15
Kushner 1989   23  0.5681  0.0036  0.0534  0.1970  0.0443  0.09
Luisada 1991   27  0.5531  0.0022  0.0626  0.3060  0.0535  0.12
Lushtak 2004   26  0.5548  0.0017  0.0621  0.3337  0.2123  0.26
Malcuzynski 1961   52  0.5026  0.0141  0.0541  0.1347  0.0547  0.08
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   56  0.4951  0.0057  0.0745  0.0779  0.0357  0.05
Michalowski 1933   84  0.3572  0.0083  0.0381  0.0359  0.0567  0.04
Milkina 1970   2  0.636  0.055  0.152  0.5643  0.1814  0.32
Mohovich 1999   44  0.5178  0.0054  0.0554  0.0581  0.0474  0.04
Moravec 1969   24  0.5617  0.0127  0.0627  0.2816  0.509  0.37
Morozova 2008   57  0.4857  0.0056  0.0648  0.0658  0.0559  0.05
Neighaus 1950   45  0.5163  0.0049  0.0467  0.0474  0.0476  0.04
Niedzielski 1931   63  0.4641  0.0038  0.0537  0.1750  0.0542  0.09
Ohlsson 1999   39  0.5225  0.0150  0.0459  0.0443  0.1353  0.07
Osinska 1989   8  0.6055  0.0012  0.129  0.4649  0.0726  0.18
Pachmann 1927   70  0.4273  0.0076  0.0377  0.0338  0.2049  0.08
Paderewski 1930   72  0.4258  0.0060  0.0466  0.0429  0.2937  0.11
Perlemuter 1992   73  0.4283  0.0071  0.0471  0.0480  0.0377  0.03
Pierdomenico 2008   81  0.3813  0.0144  0.0544  0.0950  0.0652  0.07
Poblocka 1999   55  0.4956  0.0064  0.0553  0.0575  0.0463  0.04
Rabcewiczowa 1932   16  0.5828  0.0014  0.1116  0.3730  0.2418  0.30
Rachmaninoff 1923   3  0.634  0.104  0.174  0.5313  0.411  0.47
Rangell 2001   79  0.4038  0.0072  0.0476  0.0477  0.0385  0.03
Richter 1976   85  0.3566  0.0084  0.0286  0.0265  0.0479  0.03
Rosen 1989   38  0.5259  0.0042  0.0642  0.1174  0.0454  0.07
Rosenthal 1930   28  0.5520  0.0129  0.0533  0.2112  0.5313  0.33
Rosenthal 1931   49  0.5145  0.0053  0.0651  0.0615  0.5127  0.17
Rosenthal 1931b   47  0.5186  0.0055  0.0552  0.0516  0.5029  0.16
Rosenthal 1931c   19  0.5727  0.0120  0.0717  0.3712  0.583  0.46
Rosenthal 1931d   46  0.5167  0.0052  0.0458  0.0414  0.5431  0.15
Rossi 2007   58  0.4840  0.0045  0.0647  0.0630  0.3033  0.13
Rubinstein 1939   17  0.5768  0.0018  0.0619  0.3428  0.3312  0.33
Rubinstein 1952   22  0.565  0.057  0.107  0.4825  0.385  0.43
Rubinstein 1966   13  0.5842  0.0021  0.0625  0.3040  0.1824  0.23
Schilhawsky 1960   62  0.4665  0.0058  0.0469  0.0457  0.0469  0.04
Shebanova 2002   11  0.5912  0.0110  0.098  0.4640  0.1522  0.26
Smith 1975   18  0.5711  0.0213  0.1111  0.4317  0.368  0.39
Sokolov 2002   48  0.5169  0.0051  0.0460  0.0461  0.0464  0.04
Sztompka 1959   31  0.5430  0.0040  0.0640  0.1451  0.0644  0.09
Tomsic 1995   59  0.4760  0.0066  0.0456  0.0437  0.1848  0.08
Uninsky 1932   61  0.4623  0.0161  0.0474  0.0454  0.0571  0.04
Uninsky 1971   69  0.4319  0.0169  0.0457  0.0467  0.0568  0.04
Wasowski 1980   43  0.5143  0.0043  0.0543  0.1055  0.0646  0.08
Zak 1937   35  0.5349  0.0047  0.0470  0.0470  0.0465  0.04
Zak 1951   40  0.5252  0.0048  0.0650  0.0682  0.0458  0.05
Random 1   90  -0.1390  0.0090  0.0190  0.0178  0.0290  0.01
Random 2   88  0.0279  0.0088  0.0288  0.027  0.4741  0.10
Random 3   89  -0.0984  0.0089  0.0189  0.0163  0.0489  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).