Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.6215  0.0138  0.0534  0.2247  0.0638  0.11
Anderszewski 2003   34  0.6263  0.0052  0.0651  0.0679  0.0370  0.04
Ashkenazy 1981   60  0.5283  0.0067  0.0468  0.0477  0.0386  0.03
Bacha 2000   32  0.6221  0.0129  0.0633  0.2244  0.0831  0.13
Badura 1965   81  0.4186  0.0083  0.0383  0.0362  0.0575  0.04
Barbosa 1983   61  0.5138  0.0045  0.0843  0.1649  0.0643  0.10
Biret 1990   10  0.6941  0.0021  0.0725  0.2850  0.0535  0.12
Blet 2003   62  0.5160  0.0072  0.0470  0.0477  0.0381  0.03
Block 1995   80  0.4182  0.0061  0.0560  0.0581  0.0376  0.04
Blumental 1952   16  0.6620  0.0122  0.0918  0.3661  0.0434  0.12
Boshniakovich 1969   65  0.5149  0.0057  0.0559  0.0558  0.0556  0.05
Brailowsky 1960   5  0.7126  0.0114  0.0716  0.3713  0.405  0.38
Bunin 1987   86  0.2972  0.0087  0.0386  0.0367  0.0487  0.03
Bunin 1987b   87  0.2756  0.0086  0.0384  0.0364  0.0563  0.04
Chiu 1999   54  0.5530  0.0149  0.0847  0.0859  0.0450  0.06
Cohen 1997   77  0.4362  0.0075  0.0478  0.0437  0.2144  0.09
Cortot 1951   68  0.5075  0.0077  0.0387  0.0379  0.0388  0.03
Csalog 1996   82  0.3873  0.0076  0.0475  0.0446  0.0569  0.04
Czerny 1949   50  0.5689  0.0060  0.0655  0.0657  0.0555  0.05
Czerny 1990   8  0.702  0.072  0.184  0.5141  0.1220  0.25
Duchoud 2007   84  0.3561  0.0085  0.0385  0.0371  0.0385  0.03
Ezaki 2006   20  0.6452  0.0043  0.0540  0.1766  0.0445  0.08
Falvay 1989   7  0.708  0.029  0.108  0.437  0.542  0.48
Farrell 1958   4  0.721  0.311  0.311  0.6511  0.501  0.57
Ferenczy 1958   76  0.4364  0.0080  0.0479  0.0480  0.0383  0.03
Fliere 1977   21  0.634  0.067  0.0822  0.3063  0.0436  0.11
Fou 1978   44  0.5932  0.0144  0.0741  0.1771  0.0447  0.08
Francois 1956   11  0.6843  0.0010  0.0911  0.4024  0.329  0.36
Friedman 1923   55  0.5580  0.0055  0.0558  0.0562  0.0559  0.05
Friedman 1923b   56  0.5578  0.0053  0.0562  0.0566  0.0557  0.05
Friedman 1930   41  0.5928  0.0150  0.0946  0.0963  0.0549  0.07
Garcia 2007   47  0.5750  0.0062  0.0566  0.0567  0.0474  0.04
Garcia 2007b   57  0.5546  0.0063  0.0474  0.0469  0.0478  0.04
Gierzod 1998   12  0.6813  0.0216  0.079  0.4253  0.0530  0.14
Gornostaeva 1994   13  0.6735  0.0017  0.0610  0.4223  0.2316  0.31
Groot 1988   36  0.617  0.0323  0.0917  0.3724  0.3410  0.35
Harasiewicz 1955   69  0.4957  0.0073  0.0477  0.0484  0.0389  0.03
Hatto 1993   70  0.4929  0.0170  0.0654  0.0666  0.0458  0.05
Hatto 1997   64  0.5184  0.0071  0.0561  0.0569  0.0472  0.04
Horowitz 1949   74  0.4590  0.0081  0.0481  0.0474  0.0464  0.04
Indjic 1988   63  0.5154  0.0069  0.0476  0.0466  0.0468  0.04
Kapell 1951   59  0.5258  0.0064  0.0565  0.0582  0.0362  0.04
Kissin 1993   28  0.6217  0.0128  0.0620  0.3364  0.0437  0.11
Kushner 1989   22  0.6387  0.0048  0.0750  0.0766  0.0453  0.05
Luisada 1991   23  0.6323  0.0119  0.0715  0.3764  0.0528  0.14
Lushtak 2004   25  0.6242  0.0026  0.0724  0.2844  0.1025  0.17
Malcuzynski 1961   71  0.4844  0.0054  0.0567  0.0548  0.0654  0.05
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   67  0.5059  0.0065  0.0652  0.0685  0.0361  0.04
Michalowski 1933   78  0.4368  0.0082  0.0388  0.0361  0.0566  0.04
Milkina 1970   6  0.7147  0.0015  0.086  0.4445  0.1221  0.23
Mohovich 1999   14  0.6679  0.0024  0.0626  0.2751  0.0633  0.13
Moravec 1969   42  0.5939  0.0041  0.0544  0.1617  0.4618  0.27
Morozova 2008   66  0.5081  0.0066  0.0556  0.0553  0.0471  0.04
Neighaus 1950   38  0.6124  0.0151  0.0749  0.0751  0.0652  0.06
Niedzielski 1931   48  0.5725  0.0112  0.0731  0.2365  0.0440  0.10
Ohlsson 1999   49  0.5634  0.0058  0.0563  0.0573  0.0465  0.04
Osinska 1989   2  0.7412  0.025  0.143  0.5435  0.2111  0.34
Pachmann 1927   52  0.5565  0.0068  0.0473  0.0439  0.1348  0.07
Paderewski 1930   30  0.6269  0.0027  0.0635  0.2231  0.2222  0.22
Perlemuter 1992   45  0.5876  0.0037  0.0639  0.1769  0.0446  0.08
Pierdomenico 2008   72  0.466  0.048  0.0842  0.1737  0.2024  0.18
Poblocka 1999   79  0.4374  0.0079  0.0469  0.0487  0.0279  0.03
Rabcewiczowa 1932   9  0.6914  0.0218  0.0614  0.3929  0.2317  0.30
Rachmaninoff 1923   3  0.739  0.024  0.115  0.5022  0.314  0.39
Rangell 2001   83  0.3740  0.0056  0.0564  0.0575  0.0377  0.04
Richter 1976   88  0.2491  0.0088  0.0480  0.0474  0.0380  0.03
Rosen 1989   37  0.6151  0.0042  0.0537  0.2147  0.0639  0.11
Rosenthal 1930   43  0.5911  0.0232  0.0538  0.1924  0.2523  0.22
Rosenthal 1931   40  0.6037  0.0036  0.0636  0.2114  0.4515  0.31
Rosenthal 1931b   31  0.6222  0.0135  0.0532  0.2314  0.4813  0.33
Rosenthal 1931c   33  0.6233  0.0025  0.0623  0.2913  0.468  0.37
Rosenthal 1931d   35  0.6167  0.0034  0.0629  0.2414  0.4812  0.34
Rossi 2007   29  0.623  0.076  0.0921  0.3312  0.446  0.38
Rubinstein 1939   18  0.6627  0.0120  0.0812  0.3917  0.367  0.37
Rubinstein 1952   46  0.5816  0.0111  0.087  0.4327  0.383  0.40
Rubinstein 1966   17  0.6653  0.0030  0.0630  0.2431  0.2919  0.26
Schilhawsky 1960   73  0.4577  0.0074  0.0382  0.0375  0.0482  0.03
Shebanova 2002   19  0.6519  0.0131  0.0519  0.3356  0.0532  0.13
Smith 1975   15  0.6610  0.0213  0.0713  0.3921  0.2714  0.32
Sokolov 2002   53  0.5545  0.0033  0.0545  0.1642  0.1229  0.14
Sztompka 1959   26  0.6270  0.0046  0.0848  0.0857  0.0551  0.06
Tomsic 1995   58  0.5455  0.0047  0.0653  0.0621  0.4326  0.16
Uninsky 1932   75  0.4431  0.0178  0.0472  0.0485  0.0384  0.03
Uninsky 1971   85  0.3471  0.0084  0.0471  0.0463  0.0567  0.04
Wasowski 1980   51  0.5566  0.0059  0.0557  0.0581  0.0460  0.04
Zak 1937   24  0.6336  0.0040  0.0628  0.2471  0.0441  0.10
Zak 1951   39  0.6118  0.0139  0.0527  0.2570  0.0442  0.10
Average   1  0.745  0.053  0.102  0.5760  0.0427  0.15
Random 1   90  -0.2385  0.0090  0.0190  0.0161  0.0390  0.02
Random 2   89  -0.0848  0.0089  0.0289  0.0239  0.1073  0.04
Random 3   91  -0.2588  0.0091  0.0191  0.0173  0.0391  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).