Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.3149  0.0042  0.0641  0.1534  0.2940  0.21
Anderszewski 2003   82  0.2075  0.0082  0.0378  0.0357  0.0582  0.04
Ashkenazy 1981   61  0.2950  0.0063  0.0460  0.0459  0.0671  0.05
Bacha 2000   80  0.2270  0.0079  0.0286  0.0245  0.0775  0.04
Badura 1965   60  0.2982  0.0052  0.0458  0.0424  0.4451  0.13
Barbosa 1983   70  0.2583  0.0075  0.0372  0.0347  0.0769  0.05
Biret 1990   64  0.2738  0.0071  0.0464  0.0437  0.3358  0.11
Blet 2003   56  0.3168  0.0068  0.0371  0.0355  0.0770  0.05
Block 1995   13  0.4944  0.0019  0.1115  0.5819  0.5420  0.56
Blumental 1952   84  0.1985  0.0081  0.0381  0.0355  0.0584  0.04
Boshniakovich 1969   15  0.486  0.077  0.268  0.668  0.688  0.67
Brailowsky 1960   30  0.4128  0.0026  0.1024  0.493  0.7116  0.59
Bunin 1987   73  0.2571  0.0059  0.0551  0.0553  0.0672  0.05
Bunin 1987b   71  0.2565  0.0058  0.0369  0.0354  0.0678  0.04
Chiu 1999   14  0.4817  0.0118  0.1118  0.5526  0.4626  0.50
Cohen 1997   31  0.4129  0.0032  0.0836  0.3411  0.5928  0.45
Cortot 1951   6  0.5511  0.026  0.2710  0.641  0.796  0.71
Csalog 1996   20  0.4514  0.0129  0.0834  0.3510  0.5827  0.45
Czerny 1949   81  0.2154  0.0085  0.0454  0.0440  0.2759  0.10
Czerny 1990   74  0.2559  0.0074  0.0377  0.0347  0.0973  0.05
Duchoud 2007   33  0.4018  0.0121  0.0921  0.5013  0.5524  0.52
Ezaki 2006   32  0.4032  0.0025  0.1023  0.5016  0.6319  0.56
Falvay 1989   69  0.2561  0.0062  0.0468  0.0453  0.0664  0.05
Farrell 1958   43  0.3452  0.0046  0.0545  0.0521  0.4348  0.15
Ferenczy 1958   72  0.2541  0.0073  0.0467  0.0427  0.6344  0.16
Fliere 1977   4  0.584  0.094  0.282  0.7612  0.764  0.76
Fou 1978   35  0.4026  0.0036  0.1135  0.3523  0.4235  0.38
Francois 1956   49  0.3260  0.0048  0.0546  0.0524  0.5246  0.16
Friedman 1923   11  0.5022  0.0017  0.1611  0.6412  0.7110  0.67
Friedman 1923b   12  0.4962  0.0016  0.129  0.6414  0.709  0.67
Friedman 1930   21  0.4425  0.0023  0.1025  0.4922  0.5922  0.54
Garcia 2007   34  0.4027  0.0031  0.0733  0.3619  0.4534  0.40
Garcia 2007b   87  0.1086  0.0087  0.0375  0.0359  0.0585  0.04
Gierzod 1998   63  0.2755  0.0051  0.0459  0.0426  0.4250  0.13
Gornostaeva 1994   5  0.565  0.085  0.233  0.763  0.821  0.79
Groot 1988   38  0.3645  0.0038  0.0938  0.2757  0.0652  0.13
Harasiewicz 1955   9  0.5124  0.0013  0.127  0.665  0.6213  0.64
Hatto 1993   52  0.3287  0.0065  0.0383  0.0360  0.0774  0.05
Hatto 1997   55  0.3139  0.0060  0.0373  0.0348  0.0683  0.04
Horowitz 1949   41  0.3543  0.0045  0.0455  0.0437  0.3057  0.11
Indjic 1988   78  0.2369  0.0078  0.0385  0.0362  0.0681  0.04
Kapell 1951   44  0.3453  0.0047  0.0547  0.0540  0.1361  0.08
Kissin 1993   83  0.1966  0.0083  0.0382  0.0355  0.0768  0.05
Kushner 1989   48  0.3356  0.0050  0.0550  0.0542  0.1460  0.08
Luisada 1991   66  0.2664  0.0076  0.0374  0.0351  0.0763  0.05
Lushtak 2004   46  0.3440  0.0054  0.0457  0.0419  0.3855  0.12
Malcuzynski 1961   42  0.3563  0.0049  0.0552  0.0564  0.0565  0.05
Magaloff 1978   2  0.591  0.201  0.195  0.735  0.735  0.73
Magin 1975   86  0.1372  0.0086  0.0384  0.0369  0.0486  0.03
Michalowski 1933   50  0.3276  0.0061  0.0376  0.0365  0.0680  0.04
Milkina 1970   85  0.1684  0.0080  0.0287  0.0256  0.0587  0.03
Mohovich 1999   10  0.5112  0.018  0.186  0.673  0.747  0.70
Moravec 1969   65  0.2716  0.0140  0.0742  0.1437  0.1843  0.16
Morozova 2008   26  0.427  0.0610  0.1217  0.5714  0.5221  0.54
Neighaus 1950   3  0.582  0.153  0.221  0.811  0.752  0.78
Niedzielski 1931   53  0.3181  0.0066  0.0380  0.0356  0.0677  0.04
Ohlsson 1999   19  0.4623  0.0022  0.1026  0.4621  0.4130  0.43
Osinska 1989   1  0.613  0.132  0.204  0.743  0.803  0.77
Pachmann 1927   8  0.5210  0.0211  0.1212  0.6214  0.6911  0.65
Paderewski 1930   62  0.2777  0.0069  0.0462  0.0453  0.0667  0.05
Perlemuter 1992   18  0.4637  0.0012  0.1116  0.588  0.7012  0.64
Pierdomenico 2008   16  0.4721  0.0028  0.0729  0.439  0.6125  0.51
Poblocka 1999   22  0.4447  0.0014  0.1319  0.535  0.6317  0.58
Rabcewiczowa 1932   39  0.3657  0.0041  0.0739  0.1821  0.6136  0.33
Rachmaninoff 1923   40  0.3519  0.0127  0.0732  0.3821  0.5029  0.44
Rangell 2001   17  0.479  0.029  0.1314  0.582  0.6715  0.62
Richter 1976   7  0.528  0.0315  0.1413  0.6029  0.6414  0.62
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   28  0.4235  0.0024  0.0922  0.5011  0.6418  0.57
Rosenthal 1931   68  0.2620  0.0156  0.0465  0.0426  0.5449  0.15
Rosenthal 1931b   59  0.2967  0.0070  0.0549  0.0522  0.5245  0.16
Rosenthal 1931c   36  0.3815  0.0137  0.1237  0.2812  0.5932  0.41
Rosenthal 1931d   67  0.2678  0.0057  0.0370  0.0316  0.5256  0.12
Rossi 2007   76  0.2533  0.0067  0.0379  0.0315  0.4553  0.12
Rubinstein 1939   79  0.2379  0.0084  0.0466  0.0459  0.0576  0.04
Rubinstein 1952   58  0.2942  0.0043  0.0643  0.1335  0.2542  0.18
Rubinstein 1966   24  0.4336  0.0035  0.1128  0.4321  0.3733  0.40
Schilhawsky 1960   77  0.2473  0.0072  0.0553  0.0535  0.2854  0.12
Shebanova 2002   23  0.4348  0.0033  0.0827  0.4443  0.1837  0.28
Smith 1975   47  0.3380  0.0055  0.0548  0.0525  0.4447  0.15
Sokolov 2002   45  0.3430  0.0044  0.0544  0.1015  0.4639  0.21
Sztompka 1959   27  0.4246  0.0030  0.0630  0.4225  0.4131  0.41
Tomsic 1995   75  0.2558  0.0077  0.0461  0.0462  0.0579  0.04
Uninsky 1932   25  0.4331  0.0034  0.0931  0.4041  0.1838  0.27
Uninsky 1971   29  0.4113  0.0120  0.1120  0.517  0.5523  0.53
Wasowski 1980   37  0.3834  0.0039  0.0840  0.1740  0.2341  0.20
Zak 1937   51  0.3288  0.0053  0.0463  0.0444  0.1262  0.07
Zak 1951   57  0.3051  0.0064  0.0456  0.0449  0.0666  0.05
Random 1   88  0.0074  0.0088  0.0288  0.0254  0.0488  0.03
Random 2   89  -0.0689  0.0089  0.0189  0.0176  0.0390  0.02
Random 3   90  -0.0790  0.0090  0.0190  0.0143  0.0889  0.03

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).