Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6932  0.007  0.157  0.4928  0.3110  0.39
Anderszewski 2003   49  0.5348  0.0062  0.0453  0.0459  0.0380  0.03
Ashkenazy 1981   47  0.5461  0.0056  0.0464  0.0473  0.0383  0.03
Bacha 2000   63  0.5086  0.0055  0.0461  0.0448  0.0653  0.05
Badura 1965   67  0.4876  0.0080  0.0286  0.0248  0.0681  0.03
Barbosa 1983   64  0.5035  0.0021  0.0721  0.3314  0.3613  0.34
Biret 1990   4  0.7117  0.015  0.146  0.5212  0.396  0.45
Blet 2003   22  0.6282  0.0020  0.0620  0.3531  0.2318  0.28
Block 1995   77  0.4363  0.0069  0.0450  0.0466  0.0466  0.04
Blumental 1952   30  0.5953  0.008  0.1017  0.3915  0.3014  0.34
Boshniakovich 1969   55  0.5283  0.0084  0.0377  0.0387  0.0288  0.02
Brailowsky 1960   59  0.5185  0.0071  0.0382  0.0375  0.0470  0.03
Bunin 1987   71  0.4556  0.0081  0.0287  0.0264  0.0484  0.03
Bunin 1987b   73  0.4425  0.0182  0.0460  0.0464  0.0459  0.04
Chiu 1999   60  0.519  0.0160  0.0451  0.0449  0.0654  0.05
Cohen 1997   86  0.3459  0.0083  0.0380  0.0347  0.0667  0.04
Cortot 1951   24  0.6177  0.0035  0.0831  0.2243  0.1530  0.18
Csalog 1996   68  0.4837  0.0073  0.0383  0.0348  0.0662  0.04
Czerny 1949   10  0.6734  0.0017  0.0618  0.3940  0.1224  0.22
Czerny 1990   1  0.761  0.351  0.351  0.659  0.511  0.58
Duchoud 2007   58  0.5157  0.0066  0.0373  0.0350  0.0564  0.04
Ezaki 2006   14  0.6523  0.0127  0.0626  0.2745  0.0635  0.13
Falvay 1989   33  0.5914  0.0136  0.0530  0.2421  0.4017  0.31
Farrell 1958   27  0.6044  0.0019  0.0719  0.3814  0.3512  0.36
Ferenczy 1958   29  0.6042  0.0012  0.1028  0.2624  0.2719  0.26
Fliere 1977   16  0.6416  0.0132  0.0634  0.2166  0.0444  0.09
Fou 1978   50  0.5321  0.0142  0.0440  0.1354  0.0548  0.08
Francois 1956   5  0.714  0.062  0.244  0.576  0.553  0.56
Friedman 1923   84  0.3560  0.0077  0.0366  0.0348  0.0758  0.05
Friedman 1923b   85  0.3488  0.0076  0.0369  0.0350  0.0668  0.04
Friedman 1930   52  0.5362  0.0041  0.0543  0.1035  0.2233  0.15
Garcia 2007   69  0.4870  0.0067  0.0458  0.0461  0.0465  0.04
Garcia 2007b   70  0.4678  0.0054  0.0370  0.0347  0.0569  0.04
Gierzod 1998   17  0.6445  0.0023  0.0623  0.3168  0.0439  0.11
Gornostaeva 1994   13  0.6554  0.0031  0.0622  0.3137  0.1625  0.22
Groot 1988   43  0.5627  0.0144  0.0641  0.1163  0.0450  0.07
Harasiewicz 1955   62  0.5052  0.0053  0.0452  0.0484  0.0286  0.03
Hatto 1993   83  0.3580  0.0075  0.0371  0.0383  0.0385  0.03
Hatto 1997   80  0.4274  0.0061  0.0459  0.0449  0.0657  0.05
Horowitz 1949   79  0.425  0.0586  0.0378  0.0381  0.0376  0.03
Indjic 1988   81  0.3790  0.0072  0.0381  0.0378  0.0379  0.03
Kapell 1951   3  0.713  0.084  0.213  0.5815  0.394  0.48
Kissin 1993   41  0.5768  0.0051  0.0463  0.0473  0.0378  0.03
Kushner 1989   6  0.7130  0.006  0.145  0.5321  0.385  0.45
Luisada 1991   40  0.5715  0.0130  0.0638  0.1553  0.0542  0.09
Lushtak 2004   37  0.5840  0.0013  0.0712  0.4344  0.0927  0.20
Malcuzynski 1961   53  0.5281  0.0070  0.0455  0.0483  0.0375  0.03
Magaloff 1978   20  0.628  0.0237  0.0633  0.2142  0.1431  0.17
Magin 1975   66  0.4851  0.0068  0.0374  0.0378  0.0373  0.03
Michalowski 1933   18  0.6319  0.0111  0.0916  0.419  0.487  0.44
Milkina 1970   34  0.5928  0.0039  0.0544  0.1081  0.0451  0.06
Mohovich 1999   11  0.6639  0.0018  0.0610  0.4344  0.0928  0.20
Moravec 1969   23  0.6118  0.0129  0.0632  0.2210  0.4616  0.32
Morozova 2008   28  0.6046  0.0025  0.0825  0.3037  0.1722  0.23
Neighaus 1950   26  0.6043  0.0034  0.0635  0.1978  0.0446  0.09
Niedzielski 1931   61  0.5047  0.0074  0.0375  0.0377  0.0372  0.03
Ohlsson 1999   39  0.5831  0.0057  0.0465  0.0464  0.0461  0.04
Osinska 1989   7  0.7036  0.0015  0.089  0.4331  0.2615  0.33
Pachmann 1927   76  0.4426  0.0179  0.0284  0.0254  0.0577  0.03
Paderewski 1930   8  0.6911  0.0110  0.1013  0.427  0.408  0.41
Perlemuter 1992   21  0.6265  0.0016  0.0615  0.4135  0.1420  0.24
Pierdomenico 2008   57  0.5158  0.0065  0.0372  0.0345  0.1055  0.05
Poblocka 1999   25  0.6113  0.0126  0.0729  0.2547  0.0637  0.12
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   38  0.5824  0.0128  0.0724  0.3042  0.1229  0.19
Rangell 2001   72  0.4520  0.0178  0.0285  0.0268  0.0389  0.02
Richter 1976   87  0.3384  0.0087  0.0368  0.0382  0.0287  0.02
Rosen 1989   12  0.6529  0.0014  0.0711  0.4323  0.3111  0.37
Rosenthal 1930   42  0.5733  0.0045  0.0454  0.0422  0.2940  0.11
Rosenthal 1931   75  0.4449  0.0046  0.0549  0.0527  0.2638  0.11
Rosenthal 1931b   78  0.4379  0.0049  0.0548  0.0528  0.2341  0.11
Rosenthal 1931c   48  0.5364  0.0047  0.0645  0.0626  0.3134  0.14
Rosenthal 1931d   74  0.4422  0.0148  0.0457  0.0432  0.1849  0.08
Rossi 2007   65  0.507  0.0240  0.0539  0.1311  0.4121  0.23
Rubinstein 1939   82  0.3675  0.0085  0.0376  0.0359  0.0471  0.03
Rubinstein 1952   56  0.5166  0.0052  0.0367  0.0333  0.2647  0.09
Rubinstein 1966   45  0.5471  0.0050  0.0547  0.0539  0.1845  0.09
Schilhawsky 1960   44  0.5567  0.0059  0.0546  0.0553  0.0556  0.05
Shebanova 2002   36  0.5850  0.0058  0.0456  0.0465  0.0463  0.04
Smith 1975   19  0.6341  0.0024  0.098  0.4439  0.1123  0.22
Sokolov 2002   31  0.5938  0.0038  0.0537  0.1642  0.1036  0.13
Sztompka 1959   2  0.742  0.133  0.242  0.618  0.542  0.57
Tomsic 1995   46  0.5412  0.0143  0.0442  0.1134  0.2232  0.16
Uninsky 1932   15  0.646  0.049  0.1214  0.4122  0.419  0.41
Uninsky 1971   32  0.5955  0.0022  0.0727  0.2740  0.1526  0.20
Wasowski 1980   35  0.5810  0.0133  0.0536  0.1657  0.0543  0.09
Zak 1937   51  0.5373  0.0064  0.0379  0.0371  0.0474  0.03
Zak 1951   54  0.5269  0.0063  0.0462  0.0472  0.0460  0.04
Random 1   90  -0.2287  0.0090  0.0190  0.0182  0.0290  0.01
Random 2   88  0.0072  0.0088  0.0288  0.0221  0.2152  0.06
Random 3   89  -0.0889  0.0089  0.0289  0.0260  0.0482  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).