Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7715  0.018  0.116  0.5725  0.3610  0.45
Anderszewski 2003   26  0.7023  0.0123  0.0827  0.2732  0.2430  0.25
Ashkenazy 1981   46  0.6442  0.0040  0.0540  0.1145  0.0865  0.09
Bacha 2000   36  0.6710  0.0218  0.1217  0.405  0.4714  0.43
Badura 1965   72  0.5747  0.0073  0.0556  0.0539  0.2450  0.11
Barbosa 1983   84  0.4753  0.0068  0.0461  0.0421  0.2554  0.10
Biret 1990   29  0.6975  0.0032  0.0730  0.2119  0.3528  0.27
Blet 2003   20  0.7228  0.0025  0.0526  0.274  0.4720  0.36
Block 1995   69  0.5716  0.0144  0.0444  0.0725  0.2245  0.12
Blumental 1952   49  0.6341  0.0019  0.1322  0.3214  0.2725  0.29
Boshniakovich 1969   37  0.6763  0.0041  0.0441  0.1149  0.0764  0.09
Brailowsky 1960   38  0.6659  0.0035  0.0833  0.1915  0.3927  0.27
Bunin 1987   87  0.3390  0.0088  0.0474  0.0463  0.0584  0.04
Bunin 1987b   88  0.3382  0.0087  0.0466  0.0474  0.0386  0.03
Chiu 1999   71  0.5750  0.0046  0.0472  0.0429  0.2352  0.10
Cohen 1997   86  0.3939  0.0076  0.0383  0.0316  0.3555  0.10
Cortot 1951   79  0.5583  0.0079  0.0288  0.0272  0.0489  0.03
Csalog 1996   60  0.6032  0.0069  0.0553  0.0516  0.3741  0.14
Czerny 1949   59  0.6077  0.0057  0.0460  0.0464  0.0482  0.04
Czerny 1990   17  0.7543  0.0013  0.0911  0.4712  0.4311  0.45
Duchoud 2007   81  0.5427  0.0048  0.0471  0.0439  0.1372  0.07
Ezaki 2006   22  0.719  0.0227  0.0629  0.2328  0.2531  0.24
Falvay 1989   63  0.5931  0.0074  0.0555  0.0523  0.4437  0.15
Farrell 1958   50  0.6284  0.0049  0.0469  0.0436  0.2059  0.09
Ferenczy 1958   34  0.6713  0.0124  0.0832  0.209  0.4623  0.30
Fliere 1977   12  0.7724  0.0117  0.1412  0.4734  0.2022  0.31
Fou 1978   16  0.7537  0.0012  0.0910  0.486  0.507  0.49
Francois 1956   27  0.6948  0.0030  0.0523  0.298  0.5118  0.38
Friedman 1923   42  0.6667  0.0052  0.0649  0.0634  0.3640  0.15
Friedman 1923b   43  0.6529  0.0053  0.0552  0.0535  0.3544  0.13
Friedman 1930   44  0.6535  0.0059  0.0476  0.0436  0.3249  0.11
Garcia 2007   23  0.7178  0.0034  0.0634  0.1826  0.3333  0.24
Garcia 2007b   14  0.7620  0.0114  0.1118  0.3917  0.4516  0.42
Gierzod 1998   11  0.777  0.0410  0.128  0.5522  0.399  0.46
Gornostaeva 1994   15  0.7511  0.0116  0.1414  0.438  0.4513  0.44
Groot 1988   64  0.5921  0.0133  0.0639  0.1229  0.3036  0.19
Harasiewicz 1955   32  0.6734  0.0028  0.0536  0.1752  0.0657  0.10
Hatto 1993   58  0.6173  0.0055  0.0650  0.0640  0.1466  0.09
Hatto 1997   56  0.6157  0.0056  0.0651  0.0642  0.1563  0.09
Horowitz 1949   82  0.5364  0.0078  0.0380  0.0349  0.0876  0.05
Indjic 1988   55  0.6222  0.0154  0.0648  0.0641  0.1653  0.10
Kapell 1951   19  0.7417  0.0122  0.0720  0.3531  0.1534  0.23
Kissin 1993   18  0.7446  0.0021  0.0819  0.3826  0.3321  0.35
Kushner 1989   9  0.7738  0.0011  0.0913  0.4617  0.478  0.46
Luisada 1991   5  0.801  0.221  0.222  0.662  0.671  0.66
Lushtak 2004   66  0.5856  0.0066  0.0475  0.0447  0.0875  0.06
Malcuzynski 1961   78  0.5685  0.0077  0.0386  0.0370  0.0387  0.03
Magaloff 1978   57  0.6145  0.0070  0.0647  0.0637  0.2146  0.11
Magin 1975   3  0.805  0.074  0.155  0.583  0.584  0.58
Michalowski 1933   30  0.6876  0.0042  0.0442  0.0839  0.1548  0.11
Milkina 1970   2  0.823  0.083  0.223  0.642  0.643  0.64
Mohovich 1999   4  0.8012  0.017  0.164  0.603  0.722  0.66
Moravec 1969   83  0.5261  0.0081  0.0287  0.0234  0.2370  0.07
Morozova 2008   24  0.716  0.0520  0.0921  0.3516  0.4117  0.38
Neighaus 1950   39  0.6679  0.0050  0.0462  0.0456  0.0585  0.04
Niedzielski 1931   53  0.6262  0.0064  0.0468  0.0447  0.0581  0.04
Ohlsson 1999   25  0.7044  0.0029  0.0724  0.2829  0.3024  0.29
Osinska 1989   7  0.7819  0.016  0.127  0.5510  0.545  0.54
Pachmann 1927   80  0.5574  0.0075  0.0382  0.0326  0.2661  0.09
Paderewski 1930   45  0.6486  0.0063  0.0463  0.0436  0.1569  0.08
Perlemuter 1992   40  0.6654  0.0031  0.0628  0.2625  0.2729  0.26
Pierdomenico 2008   62  0.5968  0.0072  0.0646  0.0621  0.3738  0.15
Poblocka 1999   41  0.6618  0.0143  0.0445  0.0758  0.0573  0.06
Rabcewiczowa 1932   33  0.6787  0.0038  0.0638  0.1418  0.3135  0.21
Rachmaninoff 1923   47  0.6380  0.0045  0.0443  0.0854  0.0474  0.06
Rangell 2001   73  0.5755  0.0060  0.0381  0.0319  0.3656  0.10
Richter 1976   85  0.4114  0.0186  0.0470  0.0453  0.0677  0.05
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   75  0.5681  0.0085  0.0554  0.0554  0.0483  0.04
Rosenthal 1931   68  0.5849  0.0080  0.0385  0.0325  0.2962  0.09
Rosenthal 1931b   70  0.5769  0.0082  0.0384  0.0325  0.2767  0.09
Rosenthal 1931c   77  0.5688  0.0084  0.0467  0.0429  0.2358  0.10
Rosenthal 1931d   67  0.5870  0.0083  0.0464  0.0424  0.2951  0.11
Rossi 2007   52  0.6233  0.0047  0.0473  0.0413  0.4442  0.13
Rubinstein 1939   51  0.6252  0.0062  0.0378  0.0312  0.3847  0.11
Rubinstein 1952   74  0.5736  0.0058  0.0557  0.0515  0.4639  0.15
Rubinstein 1966   48  0.638  0.0239  0.0637  0.1416  0.4132  0.24
Schilhawsky 1960   76  0.5671  0.0071  0.0558  0.0555  0.0579  0.05
Shebanova 2002   8  0.7825  0.019  0.129  0.5121  0.3615  0.43
Smith 1975   6  0.784  0.085  0.1516  0.416  0.4712  0.44
Sokolov 2002   61  0.5960  0.0065  0.0477  0.0451  0.0580  0.04
Sztompka 1959   10  0.7765  0.0015  0.1215  0.4327  0.3119  0.37
Tomsic 1995   65  0.5830  0.0061  0.0379  0.038  0.5643  0.13
Uninsky 1932   35  0.6740  0.0051  0.0559  0.0546  0.1071  0.07
Uninsky 1971   54  0.6289  0.0067  0.0465  0.0452  0.0778  0.05
Wasowski 1980   21  0.7272  0.0026  0.0525  0.2819  0.2826  0.28
Zak 1937   28  0.6951  0.0037  0.0635  0.1856  0.0468  0.08
Zak 1951   31  0.6826  0.0036  0.0731  0.2060  0.0460  0.09
Average   1  0.842  0.212  0.271  0.6718  0.386  0.50
Random 1   91  -0.3591  0.0091  0.0191  0.0188  0.0291  0.01
Random 2   89  -0.1358  0.0090  0.0289  0.0247  0.0488  0.03
Random 3   90  -0.1666  0.0089  0.0190  0.0153  0.0590  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).