Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.4672  0.0048  0.0748  0.0711  0.5037  0.19
Anderszewski 2003   16  0.5326  0.0120  0.1018  0.4736  0.2925  0.37
Ashkenazy 1981   69  0.3770  0.0076  0.0382  0.0366  0.0387  0.03
Bacha 2000   51  0.4416  0.0150  0.0653  0.0615  0.4241  0.16
Badura 1965   61  0.3963  0.0063  0.0557  0.0550  0.0668  0.05
Barbosa 1983   1  0.576  0.057  0.176  0.6424  0.417  0.51
Biret 1990   15  0.5323  0.018  0.1612  0.5129  0.3617  0.43
Blet 2003   75  0.3386  0.0081  0.0372  0.0368  0.0384  0.03
Block 1995   62  0.3947  0.0067  0.0376  0.0366  0.0486  0.03
Blumental 1952   9  0.5527  0.0019  0.0914  0.5029  0.4412  0.47
Boshniakovich 1969   49  0.4410  0.0313  0.1233  0.3051  0.0646  0.13
Brailowsky 1960   2  0.5711  0.029  0.1511  0.5417  0.546  0.54
Bunin 1987   68  0.3751  0.0060  0.0655  0.0655  0.0569  0.05
Bunin 1987b   71  0.3677  0.0059  0.0466  0.0463  0.0575  0.04
Chiu 1999   47  0.4518  0.0138  0.0738  0.2015  0.4032  0.28
Cohen 1997   77  0.3156  0.0075  0.0373  0.0355  0.0488  0.03
Cortot 1951   46  0.4573  0.0047  0.0652  0.069  0.6139  0.19
Csalog 1996   65  0.3830  0.0056  0.0462  0.0459  0.0577  0.04
Czerny 1949   22  0.5157  0.0026  0.0816  0.4930  0.4611  0.47
Czerny 1990   14  0.5312  0.0210  0.137  0.5938  0.408  0.49
Duchoud 2007   74  0.3352  0.0077  0.0369  0.0343  0.1761  0.07
Ezaki 2006   8  0.554  0.0814  0.1119  0.4536  0.2127  0.31
Falvay 1989   21  0.5180  0.0041  0.0839  0.2046  0.0650  0.11
Farrell 1958   45  0.4560  0.0045  0.0945  0.0936  0.2842  0.16
Ferenczy 1958   63  0.3959  0.0065  0.0465  0.0463  0.0579  0.04
Fliere 1977   5  0.562  0.114  0.1510  0.5528  0.3913  0.46
Fou 1978   32  0.4822  0.0143  0.0643  0.1552  0.0554  0.09
Francois 1956   70  0.3640  0.0058  0.0460  0.0436  0.2155  0.09
Friedman 1923   76  0.3165  0.0078  0.0378  0.0353  0.0582  0.04
Friedman 1923b   78  0.3068  0.0079  0.0370  0.0344  0.1070  0.05
Friedman 1930   83  0.2781  0.0080  0.0374  0.0354  0.0678  0.04
Garcia 2007   86  0.2284  0.0087  0.0375  0.0380  0.0385  0.03
Garcia 2007b   67  0.3839  0.0030  0.0644  0.1342  0.1248  0.12
Gierzod 1998   3  0.575  0.066  0.135  0.6436  0.2819  0.42
Gornostaeva 1994   41  0.4755  0.0046  0.0751  0.0750  0.0564  0.06
Groot 1988   35  0.483  0.105  0.1522  0.4115  0.3922  0.40
Harasiewicz 1955   11  0.5466  0.0021  0.149  0.5638  0.3220  0.42
Hatto 1993   4  0.571  0.181  0.181  0.6713  0.531  0.60
Hatto 1997   7  0.5617  0.013  0.153  0.6517  0.513  0.58
Horowitz 1949   73  0.3587  0.0071  0.0283  0.0222  0.3656  0.08
Indjic 1988   6  0.569  0.042  0.172  0.6616  0.522  0.59
Kapell 1951   40  0.4728  0.0051  0.0747  0.0750  0.0759  0.07
Kissin 1993   33  0.4853  0.0042  0.0841  0.1644  0.2040  0.18
Kushner 1989   28  0.4974  0.0040  0.0737  0.2559  0.0551  0.11
Luisada 1991   48  0.4429  0.0053  0.0654  0.0634  0.2249  0.11
Lushtak 2004   26  0.5034  0.0018  0.0920  0.4534  0.3324  0.39
Malcuzynski 1961   30  0.4982  0.0032  0.0628  0.3653  0.0644  0.15
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   44  0.4669  0.0049  0.0749  0.0756  0.0563  0.06
Michalowski 1933   85  0.2467  0.0083  0.0284  0.0223  0.3257  0.08
Milkina 1970   10  0.547  0.0511  0.144  0.6437  0.2423  0.39
Mohovich 1999   60  0.4088  0.0062  0.0459  0.0472  0.0481  0.04
Moravec 1969   18  0.5325  0.0131  0.0630  0.3430  0.2728  0.30
Morozova 2008   37  0.4743  0.0037  0.0635  0.2630  0.2934  0.27
Neighaus 1950   72  0.3658  0.0074  0.0367  0.0339  0.1265  0.06
Niedzielski 1931   82  0.2778  0.0086  0.0380  0.0365  0.0573  0.04
Ohlsson 1999   50  0.4421  0.0144  0.0842  0.1631  0.3236  0.23
Osinska 1989   29  0.4979  0.0033  0.0731  0.3349  0.0743  0.15
Pachmann 1927   81  0.2838  0.0064  0.0464  0.0434  0.2852  0.11
Paderewski 1930   87  0.2035  0.0070  0.0286  0.0227  0.2460  0.07
Perlemuter 1992   84  0.2575  0.0084  0.0287  0.0274  0.0389  0.02
Pierdomenico 2008   80  0.2889  0.0082  0.0381  0.0356  0.0572  0.04
Poblocka 1999   12  0.5419  0.0116  0.0913  0.5028  0.3914  0.44
Rabcewiczowa 1932   42  0.4733  0.0023  0.0729  0.3634  0.2431  0.29
Rachmaninoff 1923   20  0.5141  0.0015  0.0923  0.418  0.5510  0.47
Rangell 2001   64  0.3936  0.0073  0.0371  0.0345  0.0871  0.05
Richter 1976   38  0.4742  0.0039  0.0640  0.1825  0.4133  0.27
Rosen 1989   52  0.4349  0.0057  0.0463  0.0456  0.0480  0.04
Rosenthal 1930   31  0.4971  0.0035  0.0534  0.299  0.6516  0.43
Rosenthal 1931   56  0.4161  0.0054  0.0556  0.0527  0.3745  0.14
Rosenthal 1931b   66  0.3876  0.0068  0.0368  0.0340  0.1862  0.07
Rosenthal 1931c   27  0.5013  0.0227  0.0827  0.369  0.639  0.48
Rosenthal 1931d   58  0.4144  0.0055  0.0846  0.0821  0.4438  0.19
Rossi 2007   79  0.3046  0.0085  0.0285  0.0263  0.0483  0.03
Rubinstein 1939   34  0.4862  0.0036  0.0636  0.2530  0.3330  0.29
Rubinstein 1952   19  0.5224  0.0124  0.0921  0.4141  0.1635  0.26
Rubinstein 1966   13  0.5437  0.0022  0.1115  0.4942  0.2226  0.33
Schilhawsky 1960   23  0.5183  0.0034  0.0826  0.3621  0.4918  0.42
Shebanova 2002   24  0.5115  0.0228  0.0725  0.3718  0.4321  0.40
Smith 1975   25  0.5054  0.0029  0.0824  0.3916  0.4715  0.43
Sokolov 2002   54  0.4231  0.0061  0.0461  0.0450  0.0666  0.05
Sztompka 1959   55  0.4132  0.0052  0.0750  0.0740  0.2147  0.12
Tomsic 1995   53  0.4248  0.0066  0.0558  0.0559  0.0667  0.05
Uninsky 1932   39  0.4714  0.0217  0.0817  0.484  0.704  0.58
Uninsky 1971   17  0.538  0.0412  0.118  0.5714  0.545  0.55
Wasowski 1980   36  0.4720  0.0125  0.0832  0.3236  0.2729  0.29
Zak 1937   57  0.4145  0.0069  0.0379  0.0349  0.0574  0.04
Zak 1951   59  0.4050  0.0072  0.0377  0.0360  0.0576  0.04
Random 1   90  -0.1290  0.0090  0.0190  0.0172  0.0290  0.01
Random 2   88  0.1264  0.0088  0.0288  0.022  0.5253  0.10
Random 3   89  -0.0285  0.0089  0.0289  0.0216  0.3258  0.08

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).