Jonas 1947

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   45  0.3810  0.0126  0.0929  0.0918  0.5126  0.21
Bacha 1997   34  0.4536  0.0039  0.0640  0.0631  0.0944  0.07
Barbosa 1983   38  0.4331  0.0033  0.0549  0.0534  0.0749  0.06
Biret 1990   40  0.4326  0.0042  0.0644  0.0628  0.1042  0.08
Block 1995   32  0.4621  0.0040  0.0547  0.0515  0.5932  0.17
Brailowsky 1960   48  0.3243  0.0047  0.0645  0.0635  0.0746  0.06
Chiu 1999   22  0.5411  0.0122  0.1120  0.2724  0.2524  0.26
Clidat 1994   7  0.6344  0.008  0.1513  0.4210  0.3715  0.39
Cohen 1997   35  0.4447  0.0035  0.0639  0.0640  0.0647  0.06
Cortot 1951   43  0.4029  0.0045  0.0637  0.0632  0.0845  0.07
Csalog 1996   15  0.574  0.0716  0.168  0.5015  0.4311  0.46
Czerny 1990   10  0.617  0.027  0.1212  0.465  0.577  0.51
Ezaki 2006   4  0.6425  0.009  0.259  0.4910  0.528  0.50
Ferenczy 1958   28  0.495  0.055  0.1421  0.2222  0.3023  0.26
Fliere 1977   14  0.576  0.0315  0.1611  0.4710  0.539  0.50
Fou 1978   26  0.4938  0.0030  0.0832  0.0819  0.2736  0.15
Francois 1956   30  0.4720  0.0032  0.0548  0.0513  0.4934  0.16
Grinberg 1951   37  0.4440  0.0041  0.0642  0.0616  0.3635  0.15
Hatto 1993   21  0.5434  0.0027  0.0930  0.0936  0.0843  0.08
Hatto 1997   17  0.5630  0.0019  0.0819  0.2819  0.3521  0.31
Indjic 2001   12  0.5833  0.0014  0.1917  0.3520  0.3117  0.33
Jonas 1947   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   3  0.6714  0.013  0.307  0.525  0.544  0.53
Kiepura 1999   46  0.3339  0.0048  0.0641  0.0648  0.0551  0.05
Kushner 1989   6  0.6313  0.0110  0.205  0.5512  0.533  0.54
Luisada 1991   31  0.4748  0.0038  0.1028  0.1011  0.3927  0.20
Lushtak 2004   36  0.449  0.0131  0.0931  0.0923  0.3531  0.18
Magaloff 1978   44  0.3949  0.0043  0.0735  0.0726  0.1140  0.09
Meguri 1997   23  0.5427  0.0028  0.1126  0.1125  0.1838  0.14
Milkina 1970   9  0.628  0.0211  0.243  0.5819  0.485  0.53
Mohovich 1999   24  0.5137  0.0029  0.1127  0.1123  0.3328  0.19
Niedzielski 1931   39  0.4350  0.0034  0.0638  0.0627  0.1241  0.08
Ohlsson 1999   2  0.683  0.112  0.332  0.714  0.662  0.68
Olejniczak 1990   25  0.5141  0.0023  0.1022  0.2221  0.2725  0.24
Osinska 1989   11  0.582  0.154  0.1710  0.4820  0.2816  0.37
Rangell 2001   29  0.4812  0.0118  0.0923  0.2017  0.5219  0.32
Richter 1976   18  0.5522  0.0020  0.1018  0.3415  0.4914  0.41
Rubinstein 1938   49  0.3145  0.0049  0.0733  0.0736  0.0648  0.06
Rubinstein 1952   41  0.4242  0.0044  0.0646  0.0644  0.0650  0.06
Rubinstein 1961   20  0.5419  0.0124  0.1024  0.2021  0.5020  0.32
Rubinstein 1966   16  0.5724  0.0021  0.1116  0.3616  0.5612  0.45
Shebanova 2002   5  0.6417  0.016  0.124  0.5713  0.486  0.52
Smidowicz 1948   27  0.4918  0.0125  0.0925  0.1711  0.6018  0.32
Smidowicz 1948b   33  0.4528  0.0036  0.0734  0.0711  0.5229  0.19
Smith 1975   47  0.3223  0.0046  0.0643  0.065  0.5630  0.18
Sofronitsky 1949   42  0.4135  0.0037  0.0636  0.0612  0.4433  0.16
Sztompka 1959   19  0.5516  0.0112  0.1914  0.4212  0.6010  0.50
Tomsic 1995   1  0.741  0.411  0.401  0.781  0.731  0.75
Uninsky 1971   13  0.5832  0.0017  0.1115  0.4021  0.2422  0.31
Wasowski 1980   8  0.6215  0.0113  0.186  0.5318  0.3413  0.42
Random 1   50  0.1046  0.0050  0.0450  0.043  0.5237  0.14
Random 2   51  0.0551  0.0051  0.0351  0.0317  0.3039  0.09
Random 3   52  0.0052  0.0052  0.0252  0.0229  0.0752  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).