Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.5086  0.0069  0.0288  0.0256  0.0587  0.03
Anderszewski 2003   65  0.4631  0.0067  0.0456  0.0439  0.1959  0.09
Ashkenazy 1981   29  0.5923  0.0022  0.0528  0.2527  0.3134  0.28
Bacha 2000   56  0.4949  0.0070  0.0286  0.0227  0.3758  0.09
Badura 1965   74  0.3940  0.0072  0.0457  0.0455  0.0574  0.04
Barbosa 1983   79  0.3447  0.0068  0.0362  0.0369  0.0484  0.03
Biret 1990   45  0.5283  0.0059  0.0380  0.0344  0.1365  0.06
Blet 2003   72  0.4361  0.0076  0.0455  0.0459  0.0572  0.04
Block 1995   10  0.676  0.0310  0.1011  0.409  0.4917  0.44
Blumental 1952   84  0.2750  0.0085  0.0376  0.0378  0.0389  0.03
Boshniakovich 1969   11  0.662  0.164  0.1810  0.459  0.589  0.51
Brailowsky 1960   18  0.6232  0.0016  0.0818  0.342  0.5815  0.44
Bunin 1987   39  0.5737  0.0048  0.0748  0.0717  0.4248  0.17
Bunin 1987b   37  0.5734  0.0049  0.0946  0.0917  0.4243  0.19
Chiu 1999   70  0.4417  0.0129  0.0726  0.2518  0.4823  0.35
Cohen 1997   67  0.4646  0.0057  0.0454  0.044  0.5349  0.15
Cortot 1951   71  0.4464  0.0082  0.0378  0.0352  0.0678  0.04
Csalog 1996   66  0.4651  0.0077  0.0458  0.0427  0.3355  0.11
Czerny 1949   69  0.4554  0.0062  0.0370  0.0341  0.1363  0.06
Czerny 1990   41  0.5687  0.0054  0.0366  0.0364  0.0576  0.04
Duchoud 2007   55  0.4967  0.0066  0.0377  0.0370  0.0488  0.03
Ezaki 2006   14  0.6428  0.0024  0.0627  0.2516  0.4228  0.32
Falvay 1989   32  0.5959  0.0015  0.0812  0.409  0.4916  0.44
Farrell 1958   52  0.5077  0.0071  0.0372  0.0315  0.3954  0.11
Ferenczy 1958   78  0.3588  0.0088  0.0374  0.0375  0.0385  0.03
Fliere 1977   3  0.765  0.033  0.242  0.732  0.781  0.75
Fou 1978   25  0.6122  0.0013  0.099  0.4511  0.4911  0.47
Francois 1956   34  0.5865  0.0034  0.0534  0.1824  0.3339  0.24
Friedman 1923   87  0.2141  0.0084  0.0375  0.0340  0.1366  0.06
Friedman 1923b   86  0.2255  0.0083  0.0381  0.0339  0.1264  0.06
Friedman 1930   73  0.3911  0.0131  0.0540  0.1518  0.4736  0.27
Garcia 2007   83  0.2862  0.0081  0.0373  0.0330  0.2462  0.08
Garcia 2007b   88  0.1773  0.0087  0.0384  0.0348  0.0579  0.04
Gierzod 1998   24  0.6184  0.0033  0.0731  0.218  0.4432  0.30
Gornostaeva 1994   4  0.7220  0.007  0.097  0.479  0.586  0.52
Groot 1988   6  0.7038  0.006  0.086  0.498  0.557  0.52
Harasiewicz 1955   43  0.5345  0.0011  0.0916  0.3514  0.3822  0.36
Hatto 1993   81  0.3089  0.0064  0.0459  0.0452  0.0577  0.04
Hatto 1997   80  0.3343  0.0032  0.0638  0.1740  0.1150  0.14
Horowitz 1949   20  0.624  0.0414  0.0914  0.373  0.5514  0.45
Indjic 1988   82  0.3090  0.0063  0.0365  0.0355  0.0571  0.04
Kapell 1951   50  0.5185  0.0065  0.0364  0.0358  0.0483  0.03
Kissin 1993   8  0.688  0.028  0.098  0.4610  0.568  0.51
Kushner 1989   12  0.6556  0.0026  0.0630  0.2223  0.3235  0.27
Luisada 1991   46  0.5278  0.0055  0.0367  0.0335  0.2160  0.08
Lushtak 2004   42  0.5363  0.0020  0.0624  0.2719  0.4426  0.34
Malcuzynski 1961   2  0.793  0.052  0.223  0.633  0.643  0.63
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   22  0.6229  0.0017  0.0623  0.2812  0.4324  0.35
Michalowski 1933   76  0.3730  0.0061  0.0363  0.0356  0.0569  0.04
Milkina 1970   31  0.5970  0.0043  0.0641  0.1419  0.3641  0.22
Mohovich 1999   13  0.6479  0.0018  0.0820  0.3115  0.4820  0.39
Moravec 1969   58  0.4874  0.0073  0.0379  0.0367  0.0480  0.03
Morozova 2008   49  0.5115  0.0144  0.0544  0.0928  0.2052  0.13
Neighaus 1950   7  0.6824  0.0012  0.084  0.556  0.605  0.57
Niedzielski 1931   64  0.4626  0.0078  0.0287  0.0252  0.0582  0.03
Ohlsson 1999   17  0.6421  0.0035  0.0537  0.1717  0.3538  0.24
Osinska 1989   16  0.6418  0.0038  0.0535  0.189  0.5230  0.31
Pachmann 1927   44  0.5236  0.0028  0.0719  0.325  0.6512  0.46
Paderewski 1930   23  0.6110  0.0152  0.0747  0.0715  0.4347  0.17
Perlemuter 1992   33  0.5814  0.0121  0.0621  0.3010  0.5519  0.41
Pierdomenico 2008   38  0.5733  0.0027  0.0722  0.303  0.6318  0.43
Poblocka 1999   26  0.6066  0.0053  0.0749  0.0742  0.1556  0.10
Rabcewiczowa 1932   57  0.4812  0.0158  0.0371  0.0335  0.2061  0.08
Rachmaninoff 1923   60  0.4780  0.0040  0.0542  0.1322  0.3640  0.22
Rangell 2001   9  0.6719  0.009  0.0815  0.365  0.5813  0.46
Richter 1976   28  0.6013  0.0125  0.0525  0.2717  0.3729  0.32
Rosen 1989   5  0.717  0.025  0.105  0.555  0.714  0.62
Rosenthal 1930   36  0.5735  0.0047  0.0652  0.0610  0.5645  0.18
Rosenthal 1931   61  0.4771  0.0046  0.0651  0.067  0.5844  0.19
Rosenthal 1931b   53  0.5091  0.0041  0.0633  0.186  0.6127  0.33
Rosenthal 1931c   15  0.6425  0.0023  0.0517  0.346  0.7110  0.49
Rosenthal 1931d   40  0.5657  0.0042  0.1032  0.206  0.6025  0.35
Rossi 2007   77  0.3727  0.0050  0.0653  0.064  0.5146  0.17
Rubinstein 1939   85  0.2658  0.0086  0.0382  0.0344  0.1067  0.05
Rubinstein 1952   27  0.609  0.0237  0.0636  0.1712  0.4933  0.29
Rubinstein 1966   62  0.4775  0.0074  0.0368  0.0350  0.0673  0.04
Schilhawsky 1960   48  0.5172  0.0056  0.0360  0.0324  0.3457  0.10
Shebanova 2002   35  0.5753  0.0051  0.0750  0.0738  0.2453  0.13
Smith 1975   21  0.6248  0.0019  0.0613  0.3716  0.3921  0.38
Sokolov 2002   19  0.6216  0.0136  0.0643  0.1232  0.3142  0.19
Sztompka 1959   59  0.4842  0.0060  0.0385  0.0361  0.0568  0.04
Tomsic 1995   30  0.5969  0.0045  0.0545  0.0936  0.1851  0.13
Uninsky 1932   75  0.3744  0.0080  0.0383  0.0372  0.0486  0.03
Uninsky 1971   63  0.4639  0.0075  0.0369  0.0356  0.0570  0.04
Wasowski 1980   68  0.4560  0.0079  0.0361  0.0380  0.0381  0.03
Zak 1937   51  0.5181  0.0039  0.0539  0.1624  0.3537  0.24
Zak 1951   47  0.5276  0.0030  0.0729  0.2319  0.4031  0.30
Average   1  0.801  0.471  0.471  0.777  0.532  0.64
Random 1   91  -0.0382  0.0091  0.0191  0.0149  0.0491  0.02
Random 2   90  -0.0368  0.0090  0.0190  0.0159  0.0490  0.02
Random 3   89  0.0352  0.0089  0.0289  0.0245  0.0975  0.04

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).