Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6827  0.0011  0.257  0.6113  0.539  0.57
Anderszewski 2003   29  0.5944  0.0032  0.0630  0.2830  0.3724  0.32
Ashkenazy 1981   45  0.5538  0.0048  0.0568  0.0539  0.1867  0.09
Bacha 2000   56  0.5321  0.0043  0.0545  0.1014  0.4142  0.20
Badura 1965   62  0.5254  0.0066  0.0554  0.0535  0.3060  0.12
Barbosa 1983   73  0.4978  0.0046  0.0559  0.0533  0.3259  0.13
Biret 1990   36  0.5749  0.0038  0.0635  0.2638  0.1940  0.22
Blet 2003   50  0.5468  0.0067  0.0652  0.0618  0.3651  0.15
Block 1995   72  0.5015  0.0137  0.0637  0.1918  0.4132  0.28
Blumental 1952   40  0.5611  0.0114  0.1017  0.4020  0.3419  0.37
Boshniakovich 1969   22  0.6248  0.0033  0.0736  0.2441  0.1744  0.20
Brailowsky 1960   57  0.5361  0.0070  0.0570  0.0528  0.3854  0.14
Bunin 1987   88  0.3383  0.0088  0.0479  0.0451  0.0585  0.04
Bunin 1987b   87  0.3458  0.0087  0.0477  0.0460  0.0482  0.04
Chiu 1999   54  0.5339  0.0047  0.0569  0.058  0.4156  0.14
Cohen 1997   85  0.4022  0.0077  0.0476  0.0423  0.3062  0.11
Cortot 1951   86  0.3776  0.0086  0.0383  0.0369  0.0490  0.03
Csalog 1996   43  0.5545  0.0042  0.0544  0.1214  0.4338  0.23
Czerny 1949   58  0.5388  0.0056  0.0474  0.0461  0.0584  0.04
Czerny 1990   21  0.6251  0.0030  0.0627  0.3243  0.1539  0.22
Duchoud 2007   60  0.5318  0.0149  0.0557  0.056  0.5349  0.16
Ezaki 2006   16  0.6423  0.0031  0.0629  0.2929  0.3227  0.30
Falvay 1989   26  0.6033  0.0050  0.0653  0.0617  0.4846  0.17
Farrell 1958   68  0.5173  0.0063  0.0648  0.0658  0.0674  0.06
Ferenczy 1958   39  0.5716  0.0124  0.0639  0.175  0.5726  0.31
Fliere 1977   3  0.7112  0.016  0.143  0.7118  0.478  0.58
Fou 1978   11  0.6717  0.0112  0.1312  0.5214  0.5013  0.51
Francois 1956   46  0.5546  0.0052  0.0562  0.0521  0.4752  0.15
Friedman 1923   48  0.5536  0.0057  0.0558  0.0524  0.4353  0.15
Friedman 1923b   47  0.5530  0.0058  0.0747  0.0727  0.4248  0.17
Friedman 1930   41  0.5635  0.0059  0.0846  0.0819  0.4943  0.20
Garcia 2007   51  0.5479  0.0061  0.0651  0.0625  0.4150  0.16
Garcia 2007b   25  0.6029  0.0035  0.1034  0.2722  0.4622  0.35
Gierzod 1998   4  0.713  0.054  0.144  0.6819  0.545  0.61
Gornostaeva 1994   13  0.6563  0.0015  0.1214  0.498  0.5912  0.54
Groot 1988   59  0.5319  0.0119  0.0828  0.3115  0.3921  0.35
Harasiewicz 1955   23  0.6243  0.0018  0.1025  0.3441  0.1736  0.24
Hatto 1993   34  0.5864  0.0028  0.0820  0.3937  0.2131  0.29
Hatto 1997   33  0.5874  0.0029  0.0622  0.3636  0.1735  0.25
Horowitz 1949   84  0.4289  0.0076  0.0473  0.0458  0.0676  0.05
Indjic 1988   30  0.5940  0.0027  0.0719  0.3935  0.2230  0.29
Kapell 1951   24  0.6126  0.0034  0.0924  0.3541  0.1834  0.25
Kissin 1993   15  0.6547  0.0017  0.1315  0.4334  0.3617  0.39
Kushner 1989   7  0.682  0.068  0.2111  0.5821  0.5410  0.56
Luisada 1991   9  0.684  0.043  0.168  0.605  0.692  0.64
Lushtak 2004   55  0.5337  0.0054  0.0556  0.0561  0.0579  0.05
Malcuzynski 1961   67  0.5159  0.0073  0.0649  0.0659  0.0475  0.05
Magaloff 1978   61  0.5255  0.0064  0.0475  0.0443  0.1173  0.07
Magin 1975   2  0.719  0.022  0.182  0.713  0.641  0.67
Michalowski 1933   66  0.5142  0.0072  0.0472  0.0433  0.2664  0.10
Milkina 1970   5  0.707  0.027  0.165  0.6712  0.603  0.63
Mohovich 1999   14  0.656  0.0310  0.249  0.6011  0.644  0.62
Moravec 1969   74  0.4857  0.0075  0.0563  0.0535  0.2163  0.10
Morozova 2008   35  0.5832  0.0040  0.0640  0.1735  0.2741  0.21
Neighaus 1950   65  0.5191  0.0069  0.0478  0.0468  0.0486  0.04
Niedzielski 1931   70  0.5124  0.0055  0.0565  0.0532  0.2561  0.11
Ohlsson 1999   19  0.6313  0.0116  0.1013  0.5015  0.4914  0.49
Osinska 1989   6  0.7014  0.019  0.246  0.6317  0.576  0.60
Pachmann 1927   75  0.4756  0.0082  0.0287  0.0225  0.3670  0.08
Paderewski 1930   82  0.4380  0.0085  0.0384  0.0349  0.0487  0.03
Perlemuter 1992   42  0.5534  0.0041  0.0641  0.1619  0.4433  0.27
Pierdomenico 2008   53  0.5475  0.0071  0.0566  0.0523  0.4057  0.14
Poblocka 1999   31  0.5877  0.0044  0.0642  0.1540  0.1945  0.17
Rabcewiczowa 1932   52  0.5484  0.0039  0.0738  0.1928  0.2737  0.23
Rachmaninoff 1923   63  0.5260  0.0053  0.0560  0.0571  0.0481  0.04
Rangell 2001   76  0.4728  0.0074  0.0571  0.0545  0.1668  0.09
Richter 1976   78  0.4525  0.0079  0.0382  0.0357  0.0583  0.04
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   79  0.4541  0.0080  0.0386  0.0353  0.0489  0.03
Rosenthal 1931   81  0.4485  0.0084  0.0381  0.0340  0.2071  0.08
Rosenthal 1931b   80  0.4462  0.0081  0.0385  0.0334  0.2769  0.09
Rosenthal 1931c   77  0.4665  0.0078  0.0480  0.0435  0.2665  0.10
Rosenthal 1931d   83  0.4381  0.0083  0.0288  0.0230  0.3272  0.08
Rossi 2007   49  0.5431  0.0051  0.0561  0.0517  0.4155  0.14
Rubinstein 1939   44  0.5550  0.0060  0.0650  0.0634  0.3158  0.14
Rubinstein 1952   37  0.5720  0.0123  0.0733  0.2723  0.4323  0.34
Rubinstein 1966   27  0.6086  0.0026  0.0732  0.2832  0.3425  0.31
Schilhawsky 1960   64  0.5170  0.0062  0.0564  0.0555  0.0577  0.05
Shebanova 2002   10  0.675  0.035  0.1310  0.6015  0.5011  0.55
Smith 1975   12  0.6610  0.0213  0.1118  0.4013  0.4216  0.41
Sokolov 2002   69  0.5153  0.0065  0.0555  0.0539  0.1566  0.09
Sztompka 1959   17  0.6366  0.0022  0.0823  0.3638  0.2329  0.29
Tomsic 1995   38  0.578  0.0220  0.0931  0.286  0.6315  0.42
Uninsky 1932   71  0.5082  0.0068  0.0567  0.0549  0.0678  0.05
Uninsky 1971   32  0.5871  0.0045  0.0643  0.1337  0.2147  0.17
Wasowski 1980   28  0.5967  0.0036  0.1126  0.3323  0.4318  0.38
Zak 1937   20  0.6272  0.0025  0.0521  0.3734  0.2328  0.29
Zak 1951   18  0.6387  0.0021  0.1016  0.4029  0.3220  0.36
Average   1  0.781  0.581  0.571  0.8325  0.437  0.60
Random 1   91  -0.1090  0.0089  0.0189  0.0127  0.2380  0.05
Random 2   89  -0.0652  0.0090  0.0190  0.0142  0.0888  0.03
Random 3   90  -0.0869  0.0091  0.0191  0.0173  0.0491  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).