Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.3381  0.0071  0.0382  0.0338  0.1764  0.07
Anderszewski 2003   74  0.3147  0.0072  0.0384  0.0356  0.0677  0.04
Ashkenazy 1981   59  0.3586  0.0068  0.0385  0.0362  0.0680  0.04
Bacha 2000   73  0.3153  0.0074  0.0377  0.0345  0.0767  0.05
Badura 1965   79  0.2954  0.0078  0.0386  0.0358  0.0488  0.03
Barbosa 1983   43  0.3932  0.0046  0.0552  0.0558  0.0671  0.05
Biret 1990   48  0.3736  0.0055  0.0553  0.0534  0.3350  0.13
Blet 2003   78  0.2975  0.0084  0.0466  0.0473  0.0386  0.03
Block 1995   10  0.4738  0.0019  0.1015  0.4821  0.4815  0.48
Blumental 1952   52  0.3671  0.0062  0.0547  0.0551  0.0672  0.05
Boshniakovich 1969   9  0.472  0.042  0.1410  0.5519  0.4813  0.51
Brailowsky 1960   26  0.4210  0.0139  0.0637  0.1821  0.5529  0.31
Bunin 1987   63  0.3387  0.0060  0.0551  0.0540  0.1461  0.08
Bunin 1987b   69  0.3388  0.0059  0.0465  0.0445  0.0965  0.06
Chiu 1999   34  0.4069  0.0024  0.0824  0.3818  0.4224  0.40
Cohen 1997   60  0.3439  0.0075  0.0372  0.0333  0.3955  0.11
Cortot 1951   36  0.4044  0.0029  0.0626  0.332  0.7116  0.48
Csalog 1996   39  0.3921  0.0033  0.0634  0.2229  0.2337  0.22
Czerny 1949   77  0.2957  0.0073  0.0380  0.0342  0.1960  0.08
Czerny 1990   57  0.3517  0.0137  0.0641  0.1440  0.1748  0.15
Duchoud 2007   81  0.2883  0.0083  0.0370  0.0354  0.0679  0.04
Ezaki 2006   21  0.4220  0.0030  0.0631  0.2738  0.3431  0.30
Falvay 1989   62  0.335  0.0248  0.0556  0.0568  0.0569  0.05
Farrell 1958   75  0.3184  0.0070  0.0287  0.0263  0.0583  0.03
Ferenczy 1958   87  0.1962  0.0087  0.0467  0.0463  0.0578  0.04
Fliere 1977   1  0.601  0.671  0.661  0.851  0.781  0.81
Fou 1978   45  0.3824  0.0047  0.0460  0.0444  0.1163  0.07
Francois 1956   66  0.3366  0.0076  0.0368  0.0325  0.3256  0.10
Friedman 1923   23  0.4248  0.0023  0.1019  0.4010  0.6414  0.51
Friedman 1923b   27  0.4219  0.0121  0.1023  0.3814  0.5817  0.47
Friedman 1930   54  0.3633  0.0041  0.0638  0.1528  0.3736  0.24
Garcia 2007   82  0.2876  0.0067  0.0378  0.0369  0.0487  0.03
Garcia 2007b   83  0.2861  0.0069  0.0381  0.0351  0.0582  0.04
Gierzod 1998   16  0.4423  0.0012  0.1611  0.5313  0.5411  0.53
Gornostaeva 1994   12  0.469  0.0218  0.1120  0.3917  0.5419  0.46
Groot 1988   14  0.4512  0.0111  0.1814  0.4919  0.4120  0.45
Harasiewicz 1955   11  0.4641  0.0016  0.0812  0.5137  0.2226  0.33
Hatto 1993   38  0.4063  0.0028  0.0628  0.2835  0.1838  0.22
Hatto 1997   55  0.3568  0.0049  0.0548  0.0540  0.1459  0.08
Horowitz 1949   49  0.3780  0.0063  0.0549  0.0521  0.5043  0.16
Indjic 1988   46  0.3864  0.0044  0.0739  0.1442  0.1645  0.15
Kapell 1951   70  0.3377  0.0080  0.0373  0.0362  0.0575  0.04
Kissin 1993   33  0.4025  0.0027  0.0727  0.3224  0.5323  0.41
Kushner 1989   15  0.4465  0.0025  0.0722  0.3945  0.0941  0.19
Luisada 1991   50  0.3726  0.0064  0.0554  0.0568  0.0568  0.05
Lushtak 2004   25  0.427  0.0213  0.1813  0.5015  0.5312  0.51
Malcuzynski 1961   7  0.4918  0.014  0.162  0.706  0.632  0.66
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   37  0.4074  0.0045  0.0745  0.0734  0.3144  0.15
Michalowski 1933   64  0.3315  0.0140  0.0640  0.1411  0.4734  0.26
Milkina 1970   80  0.2878  0.0065  0.0369  0.0353  0.0676  0.04
Mohovich 1999   40  0.3959  0.0054  0.0746  0.0775  0.0473  0.05
Moravec 1969   51  0.3642  0.0050  0.0459  0.0444  0.1162  0.07
Morozova 2008   19  0.4340  0.0022  0.0917  0.4426  0.4221  0.43
Neighaus 1950   31  0.4130  0.0034  0.0730  0.2823  0.3728  0.32
Niedzielski 1931   58  0.3529  0.0056  0.0462  0.0447  0.0574  0.04
Ohlsson 1999   5  0.493  0.027  0.136  0.626  0.545  0.58
Osinska 1989   2  0.5322  0.003  0.143  0.6910  0.624  0.65
Pachmann 1927   18  0.436  0.0214  0.1016  0.444  0.6410  0.53
Paderewski 1930   76  0.3014  0.0143  0.0644  0.1214  0.5633  0.26
Perlemuter 1992   22  0.4235  0.0042  0.0542  0.1216  0.4735  0.24
Pierdomenico 2008   56  0.3558  0.0051  0.0463  0.0423  0.3952  0.12
Poblocka 1999   13  0.4527  0.0020  0.1021  0.3927  0.4322  0.41
Rabcewiczowa 1932   44  0.3950  0.0032  0.0643  0.1232  0.3339  0.20
Rachmaninoff 1923   35  0.4037  0.0015  0.0932  0.2626  0.3830  0.31
Rangell 2001   67  0.3389  0.0077  0.0376  0.0348  0.0681  0.04
Richter 1976   4  0.5134  0.006  0.194  0.6611  0.663  0.66
Rosen 1989   3  0.518  0.025  0.158  0.566  0.579  0.56
Rosenthal 1930   47  0.3855  0.0057  0.0464  0.0415  0.6047  0.15
Rosenthal 1931   84  0.2679  0.0081  0.0375  0.0332  0.3954  0.11
Rosenthal 1931b   85  0.2690  0.0086  0.0557  0.0535  0.2953  0.12
Rosenthal 1931c   29  0.4131  0.0026  0.0625  0.346  0.6618  0.47
Rosenthal 1931d   86  0.2672  0.0085  0.0379  0.0329  0.2757  0.09
Rossi 2007   53  0.3643  0.0052  0.0461  0.045  0.6142  0.16
Rubinstein 1939   61  0.3467  0.0061  0.0558  0.0538  0.1358  0.08
Rubinstein 1952   8  0.4811  0.019  0.127  0.6118  0.538  0.57
Rubinstein 1966   32  0.4049  0.0035  0.0629  0.2846  0.0846  0.15
Schilhawsky 1960   41  0.3970  0.0053  0.0550  0.0518  0.3949  0.14
Shebanova 2002   6  0.4913  0.018  0.125  0.6317  0.527  0.57
Smith 1975   24  0.4273  0.0036  0.0635  0.2016  0.5227  0.32
Sokolov 2002   42  0.3951  0.0058  0.0555  0.0534  0.3051  0.12
Sztompka 1959   20  0.4328  0.0038  0.0633  0.2535  0.3232  0.28
Tomsic 1995   72  0.3245  0.0082  0.0383  0.0371  0.0485  0.03
Uninsky 1932   17  0.4316  0.0110  0.139  0.5612  0.586  0.57
Uninsky 1971   28  0.424  0.0217  0.0918  0.4128  0.3525  0.38
Wasowski 1980   30  0.4152  0.0031  0.0636  0.1936  0.2040  0.19
Zak 1937   65  0.3346  0.0066  0.0371  0.0345  0.0870  0.05
Zak 1951   71  0.3260  0.0079  0.0374  0.0379  0.0484  0.03
Random 1   90  -0.0785  0.0090  0.0190  0.0169  0.0290  0.01
Random 2   88  0.0282  0.0088  0.0189  0.0161  0.0589  0.02
Random 3   89  -0.0156  0.0089  0.0188  0.0116  0.3566  0.06

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).