Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.7714  0.017  0.115  0.5724  0.369  0.45
Anderszewski 2003   25  0.7022  0.0122  0.0826  0.2731  0.2429  0.25
Ashkenazy 1981   45  0.6441  0.0039  0.0539  0.1144  0.0864  0.09
Bacha 2000   35  0.679  0.0217  0.1216  0.404  0.4713  0.43
Badura 1965   71  0.5747  0.0072  0.0555  0.0538  0.2449  0.11
Barbosa 1983   83  0.4753  0.0067  0.0460  0.0420  0.2553  0.10
Biret 1990   28  0.6974  0.0031  0.0729  0.2118  0.3527  0.27
Blet 2003   19  0.7228  0.0024  0.0525  0.273  0.4719  0.36
Block 1995   68  0.5716  0.0143  0.0443  0.0724  0.2244  0.12
Blumental 1952   48  0.6325  0.0018  0.1421  0.3213  0.2724  0.29
Boshniakovich 1969   36  0.6764  0.0040  0.0440  0.1148  0.0763  0.09
Brailowsky 1960   37  0.6660  0.0034  0.0832  0.1914  0.3926  0.27
Bunin 1987   86  0.3389  0.0087  0.0473  0.0462  0.0584  0.04
Bunin 1987b   87  0.3381  0.0086  0.0465  0.0473  0.0481  0.04
Chiu 1999   70  0.5750  0.0045  0.0471  0.0428  0.2351  0.10
Cohen 1997   85  0.3939  0.0075  0.0382  0.0316  0.3554  0.10
Cortot 1951   78  0.5582  0.0078  0.0287  0.0271  0.0488  0.03
Csalog 1996   59  0.6033  0.0068  0.0552  0.0515  0.3740  0.14
Czerny 1949   58  0.6076  0.0056  0.0459  0.0463  0.0482  0.04
Czerny 1990   16  0.7544  0.0012  0.0910  0.4711  0.4310  0.45
Duchoud 2007   80  0.5427  0.0047  0.0470  0.0438  0.1371  0.07
Ezaki 2006   21  0.718  0.0226  0.0628  0.2327  0.2530  0.24
Falvay 1989   62  0.5932  0.0073  0.0554  0.0523  0.4436  0.15
Farrell 1958   49  0.6283  0.0048  0.0468  0.0435  0.2058  0.09
Ferenczy 1958   33  0.6712  0.0123  0.0931  0.208  0.4622  0.30
Fliere 1977   11  0.7724  0.0116  0.1411  0.4733  0.2021  0.31
Fou 1978   15  0.7538  0.0011  0.099  0.485  0.506  0.49
Francois 1956   26  0.6948  0.0029  0.0522  0.297  0.5117  0.38
Friedman 1923   41  0.6658  0.0051  0.0648  0.0633  0.3639  0.15
Friedman 1923b   42  0.6529  0.0052  0.0651  0.0634  0.3541  0.14
Friedman 1930   43  0.6535  0.0058  0.0475  0.0435  0.3248  0.11
Garcia 2007   22  0.7177  0.0033  0.0633  0.1825  0.3332  0.24
Garcia 2007b   13  0.7619  0.0113  0.1117  0.3916  0.4515  0.42
Gierzod 1998   10  0.776  0.049  0.127  0.5521  0.398  0.46
Gornostaeva 1994   14  0.7510  0.0115  0.1413  0.437  0.4512  0.44
Groot 1988   63  0.5921  0.0132  0.0638  0.1228  0.3035  0.19
Harasiewicz 1955   31  0.6734  0.0027  0.0635  0.1751  0.0656  0.10
Hatto 1993   57  0.6172  0.0054  0.0649  0.0639  0.1465  0.09
Hatto 1997   55  0.6156  0.0055  0.0650  0.0641  0.1562  0.09
Horowitz 1949   81  0.5365  0.0077  0.0379  0.0348  0.0875  0.05
Indjic 1988   54  0.6220  0.0153  0.0647  0.0640  0.1652  0.10
Kapell 1951   18  0.7417  0.0121  0.0719  0.3530  0.1533  0.23
Kissin 1993   17  0.7445  0.0020  0.0818  0.3825  0.3320  0.35
Kushner 1989   8  0.7736  0.0010  0.0912  0.4616  0.477  0.46
Luisada 1991   4  0.801  0.311  0.311  0.661  0.671  0.66
Lushtak 2004   65  0.5857  0.0065  0.0474  0.0446  0.0874  0.06
Malcuzynski 1961   77  0.5684  0.0076  0.0385  0.0369  0.0386  0.03
Magaloff 1978   56  0.6146  0.0069  0.0646  0.0636  0.2145  0.11
Magin 1975   2  0.804  0.103  0.154  0.582  0.584  0.58
Michalowski 1933   29  0.6875  0.0041  0.0441  0.0838  0.1547  0.11
Milkina 1970   1  0.822  0.142  0.232  0.641  0.643  0.64
Mohovich 1999   3  0.8011  0.016  0.163  0.602  0.722  0.66
Moravec 1969   82  0.5262  0.0080  0.0286  0.0233  0.2369  0.07
Morozova 2008   23  0.715  0.0519  0.0920  0.3515  0.4116  0.38
Neighaus 1950   38  0.6678  0.0049  0.0461  0.0455  0.0585  0.04
Niedzielski 1931   52  0.6263  0.0063  0.0467  0.0446  0.0580  0.04
Ohlsson 1999   24  0.7042  0.0028  0.0723  0.2828  0.3023  0.29
Osinska 1989   6  0.7815  0.015  0.126  0.559  0.545  0.54
Pachmann 1927   79  0.5573  0.0074  0.0381  0.0325  0.2660  0.09
Paderewski 1930   44  0.6485  0.0062  0.0462  0.0435  0.1568  0.08
Perlemuter 1992   39  0.6654  0.0030  0.0627  0.2624  0.2728  0.26
Pierdomenico 2008   61  0.5968  0.0071  0.0645  0.0620  0.3737  0.15
Poblocka 1999   40  0.6618  0.0142  0.0444  0.0757  0.0572  0.06
Rabcewiczowa 1932   32  0.6786  0.0037  0.0637  0.1417  0.3134  0.21
Rachmaninoff 1923   46  0.6379  0.0044  0.0442  0.0853  0.0573  0.06
Rangell 2001   72  0.5755  0.0059  0.0380  0.0318  0.3655  0.10
Richter 1976   84  0.4113  0.0185  0.0469  0.0452  0.0676  0.05
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   74  0.5680  0.0084  0.0553  0.0553  0.0483  0.04
Rosenthal 1931   67  0.5849  0.0079  0.0384  0.0324  0.2961  0.09
Rosenthal 1931b   69  0.5766  0.0081  0.0383  0.0324  0.2766  0.09
Rosenthal 1931c   76  0.5687  0.0083  0.0466  0.0428  0.2357  0.10
Rosenthal 1931d   66  0.5869  0.0082  0.0463  0.0423  0.2950  0.11
Rossi 2007   51  0.6231  0.0046  0.0472  0.0413  0.4442  0.13
Rubinstein 1939   50  0.6252  0.0061  0.0377  0.0311  0.3846  0.11
Rubinstein 1952   73  0.5737  0.0057  0.0556  0.0514  0.4638  0.15
Rubinstein 1966   47  0.637  0.0238  0.0636  0.1415  0.4131  0.24
Schilhawsky 1960   75  0.5670  0.0070  0.0557  0.0554  0.0578  0.05
Shebanova 2002   7  0.7823  0.018  0.138  0.5120  0.3614  0.43
Smith 1975   5  0.783  0.104  0.1515  0.415  0.4711  0.44
Sokolov 2002   60  0.5959  0.0064  0.0476  0.0450  0.0579  0.04
Sztompka 1959   9  0.7743  0.0014  0.1214  0.4326  0.3118  0.37
Tomsic 1995   64  0.5830  0.0060  0.0378  0.038  0.5643  0.13
Uninsky 1932   34  0.6740  0.0050  0.0558  0.0545  0.1070  0.07
Uninsky 1971   53  0.6288  0.0066  0.0464  0.0451  0.0777  0.05
Wasowski 1980   20  0.7271  0.0025  0.0624  0.2818  0.2825  0.28
Zak 1937   27  0.6951  0.0036  0.0634  0.1855  0.0467  0.08
Zak 1951   30  0.6826  0.0035  0.0730  0.2059  0.0459  0.09
Random 1   90  -0.3590  0.0090  0.0190  0.0187  0.0290  0.01
Random 2   88  -0.1361  0.0089  0.0288  0.0246  0.0487  0.03
Random 3   89  -0.1667  0.0088  0.0189  0.0152  0.0589  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).