Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.5983  0.0062  0.0451  0.0466  0.0469  0.04
Anderszewski 2003   53  0.5858  0.0056  0.0457  0.0427  0.2450  0.10
Ashkenazy 1981   35  0.676  0.068  0.1130  0.2630  0.2533  0.25
Bacha 2000   42  0.6372  0.0045  0.0449  0.0419  0.3744  0.12
Badura 1965   72  0.4741  0.0061  0.0367  0.0360  0.0483  0.03
Barbosa 1983   74  0.3844  0.0070  0.0450  0.0470  0.0379  0.03
Biret 1990   40  0.6473  0.0057  0.0369  0.0349  0.0572  0.04
Blet 2003   64  0.5384  0.0071  0.0366  0.0354  0.0480  0.03
Block 1995   16  0.7552  0.0019  0.0721  0.354  0.4221  0.38
Blumental 1952   84  0.2659  0.0080  0.0384  0.0378  0.0288  0.02
Boshniakovich 1969   18  0.731  0.131  0.126  0.476  0.527  0.49
Brailowsky 1960   12  0.7710  0.045  0.0811  0.432  0.548  0.48
Bunin 1987   46  0.6263  0.0054  0.0372  0.0333  0.2453  0.08
Bunin 1987b   44  0.6274  0.0055  0.0645  0.0633  0.2445  0.12
Chiu 1999   68  0.4929  0.0141  0.0840  0.1522  0.3534  0.23
Cohen 1997   70  0.4851  0.0058  0.0379  0.038  0.4547  0.12
Cortot 1951   67  0.5066  0.0081  0.0383  0.0372  0.0386  0.03
Csalog 1996   69  0.4964  0.0078  0.0362  0.0343  0.1556  0.07
Czerny 1949   61  0.5340  0.0064  0.0456  0.0462  0.0468  0.04
Czerny 1990   30  0.6875  0.0049  0.0360  0.0368  0.0485  0.03
Duchoud 2007   50  0.6019  0.0163  0.0546  0.0558  0.0470  0.04
Ezaki 2006   17  0.7537  0.0027  0.0825  0.3326  0.2429  0.28
Falvay 1989   15  0.7512  0.0311  0.103  0.488  0.4711  0.47
Farrell 1958   34  0.6776  0.0047  0.0455  0.0413  0.2948  0.11
Ferenczy 1958   73  0.4585  0.0084  0.0380  0.0376  0.0381  0.03
Fliere 1977   2  0.8527  0.013  0.081  0.612  0.571  0.59
Fou 1978   25  0.7017  0.0115  0.099  0.4411  0.4715  0.45
Francois 1956   39  0.6454  0.0037  0.0539  0.1532  0.1742  0.16
Friedman 1923   88  0.0568  0.0087  0.0287  0.0260  0.0587  0.03
Friedman 1923b   87  0.0678  0.0086  0.0286  0.0269  0.0584  0.03
Friedman 1930   78  0.3515  0.0144  0.0544  0.0930  0.2940  0.16
Garcia 2007   77  0.3753  0.0079  0.0454  0.0448  0.0571  0.04
Garcia 2007b   85  0.1745  0.0083  0.0285  0.0241  0.0973  0.04
Gierzod 1998   21  0.713  0.087  0.0731  0.2518  0.2532  0.25
Gornostaeva 1994   4  0.8030  0.009  0.0716  0.418  0.4418  0.42
Groot 1988   3  0.814  0.0710  0.088  0.463  0.519  0.48
Harasiewicz 1955   54  0.5838  0.0014  0.0920  0.3714  0.3822  0.37
Hatto 1993   82  0.3390  0.0066  0.0365  0.0343  0.0863  0.05
Hatto 1997   75  0.3820  0.0136  0.0738  0.1530  0.1841  0.16
Horowitz 1949   27  0.697  0.0421  0.0823  0.337  0.4520  0.39
Indjic 1988   81  0.3488  0.0065  0.0381  0.0343  0.0962  0.05
Kapell 1951   52  0.5980  0.0069  0.0363  0.0373  0.0377  0.03
Kissin 1993   7  0.7811  0.0312  0.075  0.4710  0.4812  0.47
Kushner 1989   13  0.7686  0.0025  0.1022  0.3518  0.3324  0.34
Luisada 1991   43  0.6234  0.0048  0.0371  0.0331  0.2451  0.08
Lushtak 2004   55  0.589  0.0435  0.0536  0.1727  0.2139  0.19
Malcuzynski 1961   1  0.872  0.102  0.112  0.516  0.505  0.50
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   22  0.7149  0.0028  0.0826  0.316  0.3923  0.35
Michalowski 1933   80  0.3431  0.0067  0.0374  0.0362  0.0478  0.03
Milkina 1970   6  0.7969  0.0023  0.0919  0.3812  0.4219  0.40
Mohovich 1999   11  0.7718  0.0122  0.0918  0.398  0.4617  0.42
Moravec 1969   57  0.5770  0.0073  0.0368  0.0364  0.0474  0.03
Morozova 2008   59  0.5422  0.0134  0.0541  0.1439  0.1146  0.12
Neighaus 1950   10  0.7726  0.0120  0.084  0.4711  0.4910  0.48
Niedzielski 1931   63  0.5360  0.0075  0.0375  0.0342  0.1061  0.05
Ohlsson 1999   37  0.6739  0.0059  0.0370  0.0354  0.0565  0.04
Osinska 1989   28  0.6932  0.0046  0.0448  0.0434  0.1652  0.08
Pachmann 1927   65  0.5348  0.0040  0.0637  0.1614  0.4930  0.28
Paderewski 1930   29  0.6816  0.0152  0.0458  0.0425  0.2349  0.10
Perlemuter 1992   47  0.6157  0.0032  0.0732  0.2424  0.2731  0.25
Pierdomenico 2008   19  0.7224  0.0117  0.0715  0.413  0.5114  0.46
Poblocka 1999   32  0.6861  0.0060  0.0453  0.0444  0.1154  0.07
Rabcewiczowa 1932   58  0.5642  0.0068  0.0376  0.0352  0.0476  0.03
Rachmaninoff 1923   60  0.5423  0.0138  0.0535  0.1727  0.2238  0.19
Rangell 2001   5  0.808  0.044  0.0810  0.442  0.5013  0.47
Richter 1976   36  0.6728  0.0131  0.0628  0.2716  0.3228  0.29
Rosen 1989   8  0.7813  0.0218  0.0614  0.415  0.596  0.49
Rosenthal 1930   26  0.7055  0.0033  0.0633  0.239  0.5025  0.34
Rosenthal 1931   33  0.6881  0.0016  0.0624  0.335  0.5816  0.44
Rosenthal 1931b   24  0.7025  0.0113  0.0712  0.424  0.673  0.53
Rosenthal 1931c   9  0.7746  0.0024  0.1013  0.415  0.664  0.52
Rosenthal 1931d   14  0.765  0.076  0.087  0.464  0.662  0.55
Rossi 2007   79  0.3536  0.0043  0.0543  0.0912  0.2643  0.15
Rubinstein 1939   83  0.2977  0.0085  0.0364  0.0339  0.1357  0.06
Rubinstein 1952   38  0.6614  0.0242  0.0542  0.1013  0.5036  0.22
Rubinstein 1966   56  0.5771  0.0072  0.0361  0.0349  0.0567  0.04
Schilhawsky 1960   48  0.6162  0.0051  0.0377  0.0340  0.1258  0.06
Shebanova 2002   41  0.6456  0.0050  0.0373  0.0342  0.1159  0.06
Smith 1975   23  0.7121  0.0126  0.0817  0.4024  0.2626  0.32
Sokolov 2002   31  0.6833  0.0053  0.0547  0.0544  0.1055  0.07
Sztompka 1959   71  0.4843  0.0074  0.0459  0.0461  0.0564  0.04
Tomsic 1995   20  0.7247  0.0030  0.0729  0.2630  0.2135  0.23
Uninsky 1932   76  0.3779  0.0082  0.0382  0.0369  0.0482  0.03
Uninsky 1971   66  0.5087  0.0077  0.0452  0.0463  0.0466  0.04
Wasowski 1980   62  0.5350  0.0076  0.0378  0.0359  0.0475  0.03
Zak 1937   49  0.6065  0.0039  0.0634  0.1832  0.2337  0.20
Zak 1951   45  0.6235  0.0029  0.0627  0.2926  0.3127  0.30
Random 1   90  -0.0489  0.0090  0.0190  0.0176  0.0389  0.02
Random 2   89  0.0082  0.0089  0.0288  0.0232  0.1760  0.06
Random 3   86  0.0767  0.0088  0.0189  0.0163  0.0490  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).