Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.4823  0.0161  0.0459  0.0474  0.0380  0.03
Anderszewski 2003   30  0.5454  0.0026  0.0621  0.2451  0.0528  0.11
Ashkenazy 1981   19  0.5746  0.0049  0.0552  0.0580  0.0367  0.04
Bacha 2000   13  0.602  0.114  0.163  0.527  0.433  0.47
Badura 1965   37  0.5156  0.0059  0.0373  0.0354  0.0565  0.04
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   31  0.5419  0.0110  0.0811  0.3734  0.1812  0.26
Blet 2003   29  0.5513  0.0121  0.0726  0.2245  0.0823  0.13
Block 1995   56  0.4241  0.0024  0.0630  0.1754  0.0536  0.09
Blumental 1952   21  0.579  0.0212  0.0818  0.3039  0.1019  0.17
Boshniakovich 1969   69  0.3426  0.0070  0.0470  0.0474  0.0466  0.04
Brailowsky 1960   7  0.613  0.113  0.212  0.603  0.532  0.56
Bunin 1987   76  0.2544  0.0080  0.0380  0.0369  0.0483  0.03
Bunin 1987b   77  0.2474  0.0079  0.0283  0.0256  0.0674  0.03
Chiu 1999   1  0.771  0.341  0.341  0.681  0.501  0.58
Cohen 1997   14  0.6021  0.0147  0.0558  0.0513  0.3624  0.13
Cortot 1951   47  0.4770  0.0060  0.0460  0.0451  0.0569  0.04
Csalog 1996   75  0.2653  0.0029  0.0532  0.1731  0.2317  0.20
Czerny 1949   59  0.4230  0.0074  0.0551  0.0577  0.0364  0.04
Czerny 1990   26  0.5561  0.0037  0.0433  0.1562  0.0440  0.08
Duchoud 2007   64  0.3885  0.0073  0.0462  0.0466  0.0381  0.03
Ezaki 2006   4  0.687  0.039  0.097  0.4638  0.187  0.29
Falvay 1989   38  0.5134  0.0044  0.0443  0.0835  0.3320  0.16
Farrell 1958   6  0.6435  0.0018  0.0816  0.3339  0.1714  0.24
Ferenczy 1958   34  0.5332  0.0036  0.0531  0.1729  0.1818  0.17
Fliere 1977   33  0.5378  0.0038  0.0536  0.1273  0.0443  0.07
Fou 1978   35  0.5227  0.0041  0.0438  0.1161  0.0445  0.07
Francois 1956   52  0.4580  0.0048  0.0556  0.0555  0.0558  0.05
Friedman 1923   15  0.5959  0.0027  0.0537  0.1253  0.0642  0.08
Friedman 1923b   16  0.5967  0.0034  0.0539  0.1161  0.0547  0.07
Friedman 1930   20  0.5768  0.0052  0.0746  0.0784  0.0353  0.05
Garcia 2007   55  0.4481  0.0071  0.0375  0.0382  0.0382  0.03
Garcia 2007b   61  0.4086  0.0064  0.0461  0.0481  0.0387  0.03
Gierzod 1998   51  0.4522  0.0142  0.0445  0.0880  0.0356  0.05
Gornostaeva 1994   57  0.4250  0.0046  0.0553  0.0567  0.0368  0.04
Groot 1988   27  0.5557  0.0017  0.0712  0.3635  0.249  0.29
Harasiewicz 1955   25  0.5645  0.0056  0.0554  0.0579  0.0370  0.04
Hatto 1993   10  0.6125  0.0035  0.0634  0.1366  0.0449  0.07
Hatto 1997   8  0.6171  0.0050  0.0557  0.0556  0.0554  0.05
Horowitz 1949   70  0.3365  0.0076  0.0378  0.0363  0.0561  0.04
Indjic 1988   9  0.6179  0.0051  0.0942  0.0957  0.0546  0.07
Kapell 1951   67  0.3611  0.0213  0.0717  0.3060  0.0427  0.11
Kissin 1993   63  0.3933  0.0063  0.0467  0.0458  0.0462  0.04
Kushner 1989   40  0.5036  0.0025  0.0524  0.2264  0.0435  0.09
Luisada 1991   3  0.695  0.032  0.174  0.5237  0.1510  0.28
Lushtak 2004   2  0.7010  0.025  0.148  0.4439  0.1315  0.24
Malcuzynski 1961   85  0.1066  0.0087  0.0377  0.0386  0.0288  0.02
Magaloff 1978   36  0.5163  0.0045  0.0648  0.0642  0.1630  0.10
Magin 1975   68  0.3631  0.0065  0.0463  0.0481  0.0373  0.03
Michalowski 1933   80  0.2087  0.0082  0.0379  0.0375  0.0378  0.03
Milkina 1970   60  0.4115  0.0115  0.0725  0.2237  0.1816  0.20
Mohovich 1999   17  0.598  0.028  0.175  0.5130  0.335  0.41
Moravec 1969   58  0.4240  0.0058  0.0465  0.0435  0.1932  0.09
Morozova 2008   28  0.5514  0.0139  0.0540  0.1145  0.0638  0.08
Neighaus 1950   50  0.4628  0.0033  0.0435  0.1367  0.0541  0.08
Niedzielski 1931   46  0.4717  0.0122  0.0828  0.1949  0.0434  0.09
Ohlsson 1999   49  0.4616  0.0153  0.0747  0.0780  0.0351  0.05
Osinska 1989   32  0.5472  0.0028  0.0422  0.2379  0.0337  0.08
Pachmann 1927   71  0.3184  0.0081  0.0381  0.0377  0.0377  0.03
Paderewski 1930   73  0.3082  0.0072  0.0464  0.0465  0.0376  0.03
Perlemuter 1992   18  0.5883  0.0030  0.0529  0.1775  0.0344  0.07
Pierdomenico 2008   79  0.2362  0.0068  0.0374  0.0364  0.0560  0.04
Poblocka 1999   74  0.2860  0.0069  0.0472  0.0484  0.0371  0.03
Rabcewiczowa 1932   54  0.4437  0.0023  0.0627  0.2142  0.0922  0.14
Rachmaninoff 1923   41  0.4952  0.0062  0.0468  0.0481  0.0372  0.03
Rangell 2001   81  0.1575  0.0067  0.0471  0.0440  0.1448  0.07
Richter 1976   78  0.2455  0.0077  0.0376  0.0370  0.0375  0.03
Rosen 1989   48  0.4748  0.0032  0.0520  0.2560  0.0431  0.10
Rosenthal 1930   83  0.1369  0.0084  0.0288  0.0278  0.0390  0.02
Rosenthal 1931   82  0.1389  0.0078  0.0282  0.0266  0.0479  0.03
Rosenthal 1931b   84  0.1290  0.0083  0.0287  0.0274  0.0485  0.03
Rosenthal 1931c   87  0.0964  0.0085  0.0286  0.0272  0.0486  0.03
Rosenthal 1931d   86  0.1088  0.0086  0.0284  0.0266  0.0484  0.03
Rossi 2007   39  0.5042  0.0057  0.0469  0.0432  0.1933  0.09
Rubinstein 1939   11  0.6076  0.0019  0.0719  0.2623  0.2911  0.27
Rubinstein 1952   43  0.4851  0.0014  0.0714  0.3420  0.436  0.38
Rubinstein 1966   5  0.6724  0.017  0.156  0.4914  0.424  0.45
Schilhawsky 1960   65  0.3873  0.0075  0.0649  0.0669  0.0452  0.05
Shebanova 2002   42  0.4818  0.0131  0.0523  0.2276  0.0339  0.08
Smith 1975   23  0.566  0.0311  0.1010  0.4127  0.218  0.29
Sokolov 2002   66  0.3649  0.0055  0.0555  0.0571  0.0359  0.04
Sztompka 1959   45  0.4758  0.0040  0.0541  0.1071  0.0450  0.06
Tomsic 1995   62  0.3977  0.0043  0.0444  0.0830  0.3321  0.16
Uninsky 1932   53  0.4538  0.0054  0.0550  0.0567  0.0555  0.05
Uninsky 1971   72  0.3120  0.0166  0.0466  0.0470  0.0463  0.04
Wasowski 1980   12  0.604  0.056  0.169  0.4133  0.1513  0.25
Zak 1937   22  0.5612  0.0116  0.0713  0.3659  0.0425  0.12
Zak 1951   24  0.5643  0.0020  0.0915  0.3458  0.0426  0.12
Random 1   90  -0.0929  0.0090  0.0190  0.0123  0.2457  0.05
Random 2   89  -0.0639  0.0089  0.0189  0.0171  0.0389  0.02
Random 3   88  -0.0147  0.0088  0.0285  0.025  0.5629  0.11

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).