Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   75  0.2645  0.0056  0.0465  0.0482  0.0382  0.03
Anderszewski 2003   23  0.4549  0.0019  0.1019  0.4938  0.2626  0.36
Ashkenazy 1981   69  0.3152  0.0073  0.0476  0.0479  0.0384  0.03
Bacha 2000   24  0.4551  0.0021  0.0721  0.453  0.5913  0.52
Badura 1965   71  0.3084  0.0066  0.0559  0.0570  0.0370  0.04
Barbosa 1983   7  0.5318  0.0013  0.167  0.6726  0.3814  0.50
Biret 1990   34  0.4357  0.0041  0.0741  0.2059  0.0544  0.10
Blet 2003   86  0.1873  0.0086  0.0285  0.0278  0.0389  0.02
Block 1995   56  0.3582  0.0065  0.0650  0.0657  0.0561  0.05
Blumental 1952   51  0.3772  0.0058  0.0469  0.0465  0.0571  0.04
Boshniakovich 1969   48  0.3965  0.0049  0.0848  0.0868  0.0456  0.06
Brailowsky 1960   70  0.3169  0.0075  0.0473  0.0479  0.0380  0.03
Bunin 1987   67  0.3268  0.0061  0.0464  0.0466  0.0474  0.04
Bunin 1987b   60  0.3381  0.0063  0.0560  0.0570  0.0464  0.04
Chiu 1999   63  0.3274  0.0062  0.0475  0.0459  0.0562  0.04
Cohen 1997   62  0.3253  0.0067  0.0472  0.0459  0.0473  0.04
Cortot 1951   30  0.4431  0.0036  0.0837  0.254  0.6922  0.42
Csalog 1996   68  0.3186  0.0064  0.0554  0.0575  0.0466  0.04
Czerny 1949   1  0.611  0.561  0.551  0.793  0.771  0.78
Czerny 1990   4  0.5525  0.007  0.178  0.6624  0.605  0.63
Duchoud 2007   54  0.3643  0.0048  0.0946  0.099  0.5735  0.23
Ezaki 2006   11  0.5012  0.0116  0.1317  0.5429  0.2924  0.40
Falvay 1989   32  0.439  0.0143  0.0842  0.1758  0.0545  0.09
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   83  0.2248  0.0083  0.0383  0.0386  0.0381  0.03
Fliere 1977   40  0.4137  0.0020  0.0823  0.4155  0.0542  0.14
Fou 1978   43  0.4075  0.0047  0.1444  0.1450  0.0646  0.09
Francois 1956   45  0.3936  0.0027  0.0633  0.325  0.5523  0.42
Friedman 1923   81  0.2344  0.0077  0.0380  0.0354  0.0578  0.04
Friedman 1923b   80  0.2376  0.0080  0.0471  0.0473  0.0475  0.04
Friedman 1930   76  0.2658  0.0081  0.0558  0.0572  0.0467  0.04
Garcia 2007   46  0.398  0.0134  0.0740  0.2213  0.5130  0.33
Garcia 2007b   18  0.475  0.0310  0.1715  0.5612  0.5811  0.57
Gierzod 1998   39  0.4214  0.0144  0.0843  0.1674  0.0451  0.08
Gornostaeva 1994   50  0.3870  0.0060  0.0562  0.0583  0.0285  0.03
Groot 1988   44  0.4034  0.0030  0.0634  0.2969  0.0443  0.11
Harasiewicz 1955   13  0.5024  0.0017  0.1218  0.5336  0.3621  0.44
Hatto 1993   20  0.4630  0.0026  0.0524  0.4143  0.1633  0.26
Hatto 1997   37  0.4283  0.0037  0.0730  0.3443  0.0938  0.17
Horowitz 1949   88  0.0687  0.0090  0.0190  0.0188  0.0290  0.01
Indjic 1988   33  0.4366  0.0031  0.0827  0.3942  0.1634  0.25
Kapell 1951   8  0.5123  0.009  0.156  0.6718  0.558  0.61
Kissin 1993   22  0.4619  0.0023  0.0629  0.3637  0.3427  0.35
Kushner 1989   5  0.552  0.134  0.364  0.7212  0.574  0.64
Luisada 1991   84  0.2154  0.0087  0.0286  0.0287  0.0287  0.02
Lushtak 2004   9  0.517  0.0111  0.1713  0.5821  0.4812  0.53
Malcuzynski 1961   3  0.5515  0.018  0.215  0.7118  0.529  0.61
Magaloff 1978   25  0.4547  0.0039  0.0836  0.2845  0.0939  0.16
Magin 1975   29  0.4438  0.0040  0.1035  0.2941  0.1336  0.19
Michalowski 1933   85  0.1871  0.0082  0.0478  0.0455  0.0465  0.04
Milkina 1970   12  0.5046  0.0012  0.1610  0.6332  0.3219  0.45
Mohovich 1999   31  0.4341  0.0025  0.0725  0.4037  0.1932  0.28
Moravec 1969   41  0.4122  0.0052  0.0557  0.0566  0.0557  0.05
Morozova 2008   26  0.4528  0.0035  0.1128  0.3626  0.3428  0.35
Neighaus 1950   52  0.3632  0.0068  0.0466  0.0440  0.1153  0.07
Niedzielski 1931   79  0.2477  0.0084  0.0284  0.0279  0.0388  0.02
Ohlsson 1999   27  0.4463  0.0046  0.0947  0.0935  0.2741  0.16
Osinska 1989   17  0.4711  0.0114  0.2111  0.6337  0.3516  0.47
Pachmann 1927   61  0.3388  0.0054  0.0555  0.0510  0.5537  0.17
Paderewski 1930   82  0.2360  0.0074  0.0467  0.0436  0.1650  0.08
Perlemuter 1992   74  0.2789  0.0076  0.0479  0.0472  0.0379  0.03
Pierdomenico 2008   57  0.3550  0.0029  0.0631  0.337  0.6020  0.44
Poblocka 1999   19  0.4729  0.0024  0.0632  0.3337  0.2431  0.28
Rabcewiczowa 1932   16  0.4935  0.0015  0.1416  0.5616  0.4115  0.48
Rachmaninoff 1923   64  0.3290  0.0038  0.0645  0.1373  0.0354  0.06
Rangell 2001   10  0.516  0.026  0.1512  0.595  0.667  0.62
Richter 1976   21  0.4639  0.0022  0.0622  0.4121  0.5118  0.46
Rosen 1989   53  0.3655  0.0055  0.0463  0.0474  0.0383  0.03
Rosenthal 1930   59  0.3433  0.0072  0.0561  0.0557  0.0469  0.04
Rosenthal 1931   66  0.3259  0.0070  0.0477  0.0442  0.1152  0.07
Rosenthal 1931b   78  0.2567  0.0079  0.0381  0.0350  0.0576  0.04
Rosenthal 1931c   72  0.3027  0.0071  0.0474  0.0461  0.0577  0.04
Rosenthal 1931d   77  0.2578  0.0078  0.0382  0.0362  0.0486  0.03
Rossi 2007   55  0.3616  0.0133  0.0738  0.247  0.5325  0.36
Rubinstein 1939   15  0.4910  0.015  0.179  0.657  0.596  0.62
Rubinstein 1952   6  0.533  0.052  0.203  0.7412  0.583  0.66
Rubinstein 1966   2  0.554  0.033  0.262  0.7918  0.612  0.69
Schilhawsky 1960   38  0.4256  0.0028  0.0720  0.4520  0.4917  0.47
Shebanova 2002   42  0.4061  0.0051  0.0552  0.0555  0.0560  0.05
Smith 1975   65  0.3285  0.0059  0.0470  0.0461  0.0563  0.04
Sokolov 2002   28  0.4420  0.0050  0.0651  0.0643  0.1249  0.08
Sztompka 1959   14  0.4913  0.0118  0.1514  0.5612  0.6310  0.59
Tomsic 1995   49  0.3864  0.0053  0.0556  0.0560  0.0659  0.05
Uninsky 1932   73  0.2721  0.0057  0.0468  0.0457  0.0468  0.04
Uninsky 1971   35  0.4317  0.0132  0.0926  0.4037  0.2729  0.33
Wasowski 1980   58  0.3440  0.0069  0.0553  0.0574  0.0558  0.05
Zak 1937   47  0.3942  0.0045  0.0849  0.0844  0.1047  0.09
Zak 1951   36  0.4226  0.0042  0.0939  0.2437  0.1140  0.16
Random 1   90  -0.0779  0.0088  0.0189  0.0140  0.1672  0.04
Random 2   87  0.0980  0.0089  0.0188  0.0120  0.3155  0.06
Random 3   89  -0.0662  0.0085  0.0287  0.0211  0.3748  0.09

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).