Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.4655  0.0030  0.0827  0.3777  0.0332  0.11
Anderszewski 2003   35  0.4413  0.0034  0.0932  0.2666  0.0434  0.10
Ashkenazy 1981   52  0.3711  0.0050  0.0556  0.0578  0.0362  0.04
Bacha 2000   44  0.406  0.0035  0.0738  0.2163  0.0437  0.09
Badura 1965   85  0.2656  0.0080  0.0285  0.0286  0.0289  0.02
Barbosa 1983   87  0.2234  0.0063  0.0370  0.0385  0.0288  0.02
Biret 1990   28  0.4623  0.0029  0.0928  0.3770  0.0428  0.12
Blet 2003   42  0.4118  0.0046  0.0650  0.0682  0.0273  0.03
Block 1995   84  0.2635  0.0079  0.0382  0.0384  0.0378  0.03
Blumental 1952   13  0.5312  0.008  0.227  0.6438  0.1612  0.32
Boshniakovich 1969   45  0.4036  0.0061  0.0462  0.0470  0.0461  0.04
Brailowsky 1960   26  0.4649  0.0026  0.1022  0.4136  0.2610  0.33
Bunin 1987   77  0.3014  0.0077  0.0381  0.0370  0.0479  0.03
Bunin 1987b   80  0.3064  0.0078  0.0466  0.0473  0.0449  0.04
Chiu 1999   82  0.2757  0.0059  0.0554  0.0580  0.0348  0.04
Cohen 1997   81  0.2750  0.0038  0.0642  0.1339  0.1227  0.12
Cortot 1951   65  0.3483  0.0081  0.0380  0.0382  0.0382  0.03
Csalog 1996   18  0.5065  0.0025  0.1025  0.4035  0.1714  0.26
Czerny 1949   39  0.4273  0.0042  0.0740  0.1578  0.0342  0.07
Czerny 1990   10  0.5346  0.009  0.229  0.5947  0.0718  0.20
Duchoud 2007   79  0.3037  0.0051  0.0555  0.0573  0.0459  0.04
Ezaki 2006   33  0.4529  0.0028  0.1023  0.4073  0.0424  0.13
Falvay 1989   22  0.4974  0.0015  0.1719  0.4632  0.309  0.37
Farrell 1958   57  0.3541  0.0047  0.0646  0.0676  0.0446  0.05
Ferenczy 1958   53  0.3619  0.0065  0.0372  0.0375  0.0374  0.03
Fliere 1977   9  0.5442  0.0012  0.138  0.5954  0.0519  0.17
Fou 1978   40  0.4251  0.0031  0.0733  0.2670  0.0433  0.10
Francois 1956   58  0.3584  0.0066  0.0371  0.0387  0.0383  0.03
Friedman 1923   73  0.3130  0.0069  0.0461  0.0479  0.0385  0.03
Friedman 1923b   72  0.3217  0.0062  0.0463  0.0475  0.0463  0.04
Friedman 1930   55  0.3647  0.0060  0.0467  0.0469  0.0457  0.04
Garcia 2007   71  0.3385  0.0074  0.0376  0.0381  0.0377  0.03
Garcia 2007b   61  0.3558  0.0072  0.0379  0.0373  0.0484  0.03
Gierzod 1998   15  0.5331  0.0019  0.0817  0.5174  0.0326  0.12
Gornostaeva 1994   12  0.5320  0.0011  0.1511  0.5944  0.0915  0.23
Groot 1988   60  0.3538  0.0044  0.0544  0.1074  0.0445  0.06
Harasiewicz 1955   59  0.3548  0.0052  0.0648  0.0686  0.0365  0.04
Hatto 1993   69  0.3475  0.0053  0.0552  0.0584  0.0364  0.04
Hatto 1997   63  0.3576  0.0057  0.0649  0.0684  0.0358  0.04
Horowitz 1949   75  0.3166  0.0082  0.0287  0.0281  0.0387  0.02
Indjic 1988   62  0.3525  0.0056  0.0553  0.0580  0.0354  0.04
Kapell 1951   14  0.5359  0.0023  0.0824  0.4057  0.0523  0.14
Kissin 1993   30  0.4621  0.0032  0.0835  0.2477  0.0339  0.08
Kushner 1989   19  0.5043  0.0033  0.1030  0.2971  0.0430  0.11
Luisada 1991   41  0.4232  0.0027  0.0831  0.2970  0.0429  0.11
Lushtak 2004   66  0.3486  0.0045  0.0645  0.0686  0.0360  0.04
Malcuzynski 1961   21  0.4952  0.0021  0.1026  0.3840  0.1117  0.20
Magaloff 1978   7  0.5726  0.0010  0.2412  0.5817  0.377  0.46
Magin 1975   17  0.5177  0.0022  0.1116  0.5181  0.0325  0.12
Michalowski 1933   43  0.4153  0.0043  0.0643  0.1179  0.0343  0.06
Milkina 1970   11  0.537  0.0020  0.1015  0.5361  0.0522  0.16
Mohovich 1999   34  0.4567  0.0039  0.0636  0.2382  0.0436  0.10
Moravec 1969   5  0.619  0.005  0.436  0.665  0.645  0.65
Morozova 2008   54  0.3627  0.0058  0.0551  0.0580  0.0356  0.04
Neighaus 1950   64  0.3487  0.0073  0.0377  0.0382  0.0481  0.03
Niedzielski 1931   20  0.5039  0.0014  0.1514  0.5334  0.2011  0.33
Ohlsson 1999   49  0.3828  0.0049  0.0458  0.0476  0.0452  0.04
Osinska 1989   32  0.4568  0.0041  0.0641  0.1474  0.0440  0.07
Pachmann 1927   50  0.3769  0.0076  0.0383  0.0355  0.0551  0.04
Paderewski 1930   56  0.3578  0.0071  0.0465  0.0460  0.0450  0.04
Perlemuter 1992   74  0.3170  0.0070  0.0464  0.0484  0.0366  0.03
Pierdomenico 2008   86  0.2688  0.0087  0.0369  0.0378  0.0468  0.03
Poblocka 1999   24  0.4744  0.0037  0.0737  0.2276  0.0438  0.09
Rabcewiczowa 1932   6  0.5715  0.006  0.2410  0.5916  0.396  0.48
Rachmaninoff 1923   8  0.5410  0.007  0.275  0.7124  0.308  0.46
Rangell 2001   68  0.3460  0.0075  0.0378  0.0378  0.0380  0.03
Richter 1976   83  0.2689  0.0086  0.0373  0.0380  0.0372  0.03
Rosen 1989   29  0.4640  0.0036  0.0834  0.2679  0.0435  0.10
Rosenthal 1930   4  0.814  0.044  0.814  0.921  0.924  0.92
Rosenthal 1931   2  0.873  0.093  0.813  0.943  0.943  0.94
Rosenthal 1931b   1  0.881  0.531  0.532  0.963  0.952  0.95
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   3  0.862  0.302  0.511  0.963  0.961  0.96
Rossi 2007   70  0.3390  0.0064  0.0374  0.0374  0.0467  0.03
Rubinstein 1939   31  0.4524  0.0017  0.1121  0.4443  0.1016  0.21
Rubinstein 1952   25  0.4763  0.0013  0.1420  0.4637  0.2013  0.30
Rubinstein 1966   48  0.388  0.0055  0.0460  0.0469  0.0555  0.04
Schilhawsky 1960   37  0.445  0.0018  0.0829  0.3072  0.0431  0.11
Shebanova 2002   36  0.4479  0.0040  0.0539  0.1780  0.0341  0.07
Smith 1975   16  0.5245  0.0016  0.2113  0.5755  0.0521  0.17
Sokolov 2002   23  0.4961  0.0024  0.1018  0.4745  0.0620  0.17
Sztompka 1959   38  0.4380  0.0048  0.0647  0.0676  0.0447  0.05
Tomsic 1995   78  0.3081  0.0085  0.0384  0.0379  0.0471  0.03
Uninsky 1932   46  0.3833  0.0054  0.0459  0.0482  0.0375  0.03
Uninsky 1971   67  0.3454  0.0084  0.0375  0.0362  0.0553  0.04
Wasowski 1980   76  0.3182  0.0083  0.0286  0.0282  0.0386  0.02
Zak 1937   47  0.3822  0.0067  0.0368  0.0385  0.0369  0.03
Zak 1951   51  0.3716  0.0068  0.0457  0.0487  0.0270  0.03
Random 1   89  -0.1071  0.0088  0.0289  0.0232  0.1644  0.06
Random 2   88  -0.0372  0.0089  0.0288  0.0247  0.0476  0.03
Random 3   90  -0.1562  0.0090  0.0190  0.0188  0.0190  0.01

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).