Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.3834  0.0059  0.0849  0.0866  0.0450  0.06
Anderszewski 2003   32  0.406  0.0133  0.0629  0.2770  0.0438  0.10
Ashkenazy 1981   45  0.3857  0.0056  0.0850  0.0851  0.0452  0.06
Bacha 2000   46  0.379  0.0024  0.0733  0.2244  0.1523  0.18
Badura 1965   56  0.3439  0.0061  0.0657  0.0676  0.0364  0.04
Barbosa 1983   43  0.3862  0.0046  0.0659  0.0667  0.0556  0.05
Biret 1990   30  0.4013  0.0030  0.0630  0.2757  0.0535  0.12
Blet 2003   33  0.4016  0.0026  0.1035  0.2128  0.2320  0.22
Block 1995   50  0.3632  0.0035  0.0641  0.1756  0.0541  0.09
Blumental 1952   8  0.4940  0.0011  0.246  0.6632  0.419  0.52
Boshniakovich 1969   49  0.3741  0.0054  0.0752  0.0785  0.0358  0.05
Brailowsky 1960   10  0.4951  0.0010  0.198  0.6426  0.477  0.55
Bunin 1987   35  0.4017  0.0032  0.0732  0.2444  0.1027  0.15
Bunin 1987b   41  0.3870  0.0039  0.0739  0.1844  0.1129  0.14
Chiu 1999   52  0.3526  0.0052  0.1044  0.1049  0.0642  0.08
Cohen 1997   79  0.2380  0.0067  0.0377  0.0371  0.0383  0.03
Cortot 1951   81  0.2281  0.0082  0.0287  0.0258  0.0584  0.03
Csalog 1996   13  0.4735  0.0014  0.1911  0.6323  0.3411  0.46
Czerny 1949   72  0.2736  0.0070  0.0467  0.0476  0.0381  0.03
Czerny 1990   28  0.4137  0.0016  0.1217  0.4662  0.0528  0.15
Duchoud 2007   82  0.2221  0.0081  0.0382  0.0365  0.0563  0.04
Ezaki 2006   20  0.4271  0.0041  0.0638  0.1971  0.0439  0.09
Falvay 1989   9  0.4931  0.0012  0.1312  0.6243  0.1617  0.31
Farrell 1958   66  0.3014  0.0062  0.0562  0.0575  0.0460  0.04
Ferenczy 1958   27  0.4110  0.0023  0.0921  0.3828  0.3913  0.38
Fliere 1977   6  0.5020  0.009  0.2714  0.6041  0.1714  0.32
Fou 1978   26  0.4243  0.0038  0.0734  0.2147  0.0636  0.11
Francois 1956   87  0.1982  0.0086  0.0375  0.0386  0.0385  0.03
Friedman 1923   68  0.2963  0.0060  0.1047  0.1067  0.0454  0.06
Friedman 1923b   60  0.3222  0.0057  0.0754  0.0750  0.0653  0.06
Friedman 1930   63  0.3158  0.0055  0.0851  0.0857  0.0644  0.07
Garcia 2007   85  0.1972  0.0078  0.0381  0.0364  0.0482  0.03
Garcia 2007b   76  0.2583  0.0072  0.0473  0.0481  0.0386  0.03
Gierzod 1998   15  0.4615  0.0015  0.1319  0.4261  0.0432  0.13
Gornostaeva 1994   58  0.3244  0.0048  0.0656  0.0673  0.0366  0.04
Groot 1988   24  0.4259  0.0028  0.0825  0.3663  0.0533  0.13
Harasiewicz 1955   38  0.3860  0.0037  0.0840  0.1877  0.0345  0.07
Hatto 1993   18  0.4484  0.0018  0.1015  0.5247  0.0625  0.18
Hatto 1997   17  0.4547  0.0021  0.0818  0.4658  0.0430  0.14
Horowitz 1949   57  0.3323  0.0058  0.0848  0.0817  0.4224  0.18
Indjic 1988   16  0.4519  0.0020  0.1016  0.5052  0.0526  0.16
Kapell 1951   31  0.4064  0.0040  0.0731  0.2450  0.0731  0.13
Kissin 1993   73  0.2649  0.0080  0.0379  0.0380  0.0379  0.03
Kushner 1989   25  0.4285  0.0034  0.0737  0.2052  0.0637  0.11
Luisada 1991   22  0.4252  0.0025  0.0828  0.3039  0.1919  0.24
Lushtak 2004   54  0.3586  0.0047  0.0563  0.0565  0.0465  0.04
Malcuzynski 1961   48  0.3711  0.0036  0.0636  0.2164  0.0440  0.09
Magaloff 1978   7  0.5065  0.0013  0.1210  0.6328  0.3610  0.48
Magin 1975   34  0.4066  0.0049  0.0560  0.0560  0.0459  0.04
Michalowski 1933   84  0.2073  0.0069  0.0469  0.0460  0.0378  0.03
Milkina 1970   36  0.3929  0.0053  0.0755  0.0775  0.0455  0.05
Mohovich 1999   21  0.4253  0.0029  0.1026  0.3657  0.0434  0.12
Moravec 1969   11  0.4933  0.008  0.187  0.6419  0.476  0.55
Morozova 2008   59  0.3254  0.0064  0.0658  0.0674  0.0457  0.05
Neighaus 1950   74  0.2624  0.0068  0.0470  0.0468  0.0467  0.04
Niedzielski 1931   40  0.3874  0.0017  0.1023  0.388  0.4612  0.42
Ohlsson 1999   67  0.2938  0.0066  0.0468  0.0482  0.0377  0.03
Osinska 1989   47  0.3730  0.0044  0.0543  0.1070  0.0447  0.06
Pachmann 1927   80  0.2367  0.0085  0.0380  0.0370  0.0375  0.03
Paderewski 1930   88  0.1587  0.0088  0.0383  0.0381  0.0374  0.03
Perlemuter 1992   83  0.2175  0.0084  0.0384  0.0379  0.0369  0.03
Pierdomenico 2008   77  0.2476  0.0083  0.0286  0.0280  0.0388  0.02
Poblocka 1999   29  0.4148  0.0022  0.0820  0.4151  0.0922  0.19
Rabcewiczowa 1932   12  0.4818  0.007  0.209  0.6313  0.448  0.53
Rachmaninoff 1923   14  0.478  0.016  0.1913  0.617  0.565  0.58
Rangell 2001   86  0.1968  0.0087  0.0288  0.0282  0.0391  0.02
Richter 1976   71  0.2888  0.0073  0.0472  0.0482  0.0373  0.03
Rosen 1989   51  0.3655  0.0051  0.0753  0.0753  0.0551  0.06
Rosenthal 1930   4  0.704  0.044  0.754  0.873  0.854  0.86
Rosenthal 1931   3  0.733  0.073  0.613  0.913  0.893  0.90
Rosenthal 1931b   1  0.761  0.481  0.481  0.953  0.932  0.94
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   2  0.752  0.352  0.742  0.943  0.941  0.94
Rossi 2007   78  0.2489  0.0079  0.0285  0.0281  0.0387  0.02
Rubinstein 1939   42  0.3825  0.0045  0.0546  0.1061  0.0448  0.06
Rubinstein 1952   37  0.3945  0.0042  0.0642  0.1778  0.0346  0.07
Rubinstein 1966   55  0.3427  0.0063  0.0466  0.0483  0.0380  0.03
Schilhawsky 1960   19  0.447  0.0127  0.0822  0.3835  0.2716  0.32
Shebanova 2002   53  0.3590  0.0050  0.0561  0.0572  0.0462  0.04
Smith 1975   23  0.4212  0.0019  0.0924  0.3735  0.2815  0.32
Sokolov 2002   39  0.3856  0.0031  0.0727  0.3038  0.2618  0.28
Sztompka 1959   75  0.2650  0.0071  0.0474  0.0488  0.0276  0.03
Tomsic 1995   70  0.2877  0.0077  0.0465  0.0478  0.0372  0.03
Uninsky 1932   64  0.3046  0.0043  0.0545  0.1066  0.0449  0.06
Uninsky 1971   65  0.3091  0.0065  0.0564  0.0584  0.0361  0.04
Wasowski 1980   69  0.2978  0.0075  0.0378  0.0379  0.0468  0.03
Zak 1937   61  0.3142  0.0076  0.0471  0.0479  0.0370  0.03
Zak 1951   62  0.3128  0.0074  0.0376  0.0379  0.0371  0.03
Average   5  0.605  0.015  0.485  0.8162  0.0521  0.20
Random 1   90  -0.0561  0.0089  0.0289  0.0220  0.3543  0.08
Random 2   89  0.0169  0.0090  0.0190  0.0149  0.0489  0.02
Random 3   91  -0.0779  0.0091  0.0191  0.0176  0.0390  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).