Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.3732  0.0077  0.0285  0.0284  0.0284  0.02
Anderszewski 2003   41  0.4833  0.0018  0.0734  0.1443  0.1025  0.12
Ashkenazy 1981   49  0.4514  0.0053  0.0557  0.0581  0.0358  0.04
Bacha 2000   30  0.5365  0.0054  0.0558  0.0563  0.0453  0.04
Badura 1965   77  0.2660  0.0069  0.0552  0.0583  0.0272  0.03
Barbosa 1983   79  0.2519  0.0076  0.0280  0.0290  0.0190  0.01
Biret 1990   42  0.4713  0.0058  0.0550  0.0583  0.0275  0.03
Blet 2003   65  0.3777  0.0075  0.0282  0.0286  0.0281  0.02
Block 1995   10  0.6466  0.0012  0.1019  0.3421  0.2810  0.31
Blumental 1952   85  0.1867  0.0082  0.0286  0.0280  0.0286  0.02
Boshniakovich 1969   28  0.5378  0.0023  0.0920  0.3447  0.0621  0.14
Brailowsky 1960   5  0.7243  0.005  0.355  0.554  0.525  0.53
Bunin 1987   36  0.4951  0.0051  0.0646  0.0646  0.0552  0.05
Bunin 1987b   37  0.4944  0.0050  0.0548  0.0546  0.0547  0.05
Chiu 1999   68  0.3479  0.0044  0.0542  0.1066  0.0445  0.06
Cohen 1997   55  0.4280  0.0038  0.0633  0.1413  0.4117  0.24
Cortot 1951   72  0.3136  0.0085  0.0283  0.0287  0.0288  0.02
Csalog 1996   70  0.3481  0.0078  0.0276  0.0257  0.0570  0.03
Czerny 1949   67  0.3416  0.0071  0.0367  0.0382  0.0283  0.02
Czerny 1990   60  0.4034  0.0070  0.0369  0.0378  0.0374  0.03
Duchoud 2007   59  0.4061  0.0074  0.0281  0.0284  0.0285  0.02
Ezaki 2006   33  0.5110  0.0047  0.0463  0.0468  0.0361  0.03
Falvay 1989   17  0.5956  0.0013  0.0817  0.3574  0.0330  0.10
Farrell 1958   21  0.5527  0.0037  0.0443  0.1041  0.1131  0.10
Ferenczy 1958   71  0.3137  0.0087  0.0287  0.0287  0.0282  0.02
Fliere 1977   13  0.6357  0.0021  0.0913  0.3765  0.0423  0.12
Fou 1978   16  0.614  0.018  0.107  0.4627  0.347  0.40
Francois 1956   39  0.497  0.0046  0.0553  0.0578  0.0359  0.04
Friedman 1923   89  0.0362  0.0084  0.0277  0.0248  0.0760  0.04
Friedman 1923b   86  0.0552  0.0083  0.0284  0.0262  0.0573  0.03
Friedman 1930   82  0.1968  0.0065  0.0366  0.0362  0.0557  0.04
Garcia 2007   63  0.3853  0.0057  0.0554  0.0548  0.0551  0.05
Garcia 2007b   81  0.2128  0.0056  0.0555  0.0526  0.1736  0.09
Gierzod 1998   26  0.5445  0.0036  0.0537  0.1369  0.0346  0.06
Gornostaeva 1994   12  0.648  0.0014  0.0814  0.3639  0.1715  0.25
Groot 1988   7  0.6546  0.007  0.098  0.4537  0.1612  0.27
Harasiewicz 1955   45  0.4682  0.0015  0.0915  0.3645  0.0720  0.16
Hatto 1993   75  0.2818  0.0060  0.0551  0.0576  0.0276  0.03
Hatto 1997   73  0.306  0.0039  0.0435  0.1480  0.0250  0.05
Horowitz 1949   18  0.5869  0.0011  0.0810  0.4120  0.328  0.36
Indjic 1988   74  0.2820  0.0059  0.0459  0.0481  0.0269  0.03
Kapell 1951   61  0.3958  0.0073  0.0279  0.0284  0.0279  0.02
Kissin 1993   23  0.5583  0.0024  0.0723  0.3265  0.0428  0.11
Kushner 1989   15  0.6284  0.0022  0.0725  0.2768  0.0334  0.09
Luisada 1991   34  0.5154  0.0048  0.0556  0.0556  0.0454  0.04
Lushtak 2004   66  0.3547  0.0040  0.0445  0.0844  0.0937  0.08
Malcuzynski 1961   9  0.6421  0.0020  0.0622  0.3266  0.0427  0.11
Magaloff 1978   4  0.765  0.004  0.414  0.668  0.464  0.55
Magin 1975   22  0.5585  0.0025  0.1024  0.3037  0.1519  0.21
Michalowski 1933   87  0.0548  0.0086  0.0278  0.0276  0.0380  0.02
Milkina 1970   11  0.6423  0.006  0.0911  0.4129  0.259  0.32
Mohovich 1999   19  0.5724  0.0026  0.0618  0.3570  0.0333  0.10
Moravec 1969   47  0.4626  0.0066  0.0371  0.0377  0.0362  0.03
Morozova 2008   62  0.3886  0.0042  0.0439  0.1161  0.0443  0.07
Neighaus 1950   29  0.5329  0.0035  0.0629  0.1980  0.0339  0.08
Niedzielski 1931   54  0.4387  0.0055  0.0547  0.0559  0.0456  0.04
Ohlsson 1999   52  0.4470  0.0067  0.0370  0.0373  0.0367  0.03
Osinska 1989   51  0.4538  0.0062  0.0462  0.0469  0.0455  0.04
Pachmann 1927   53  0.4471  0.0031  0.0627  0.2629  0.2714  0.26
Paderewski 1930   50  0.4563  0.0063  0.0368  0.0371  0.0366  0.03
Perlemuter 1992   46  0.4664  0.0043  0.0438  0.1378  0.0344  0.06
Pierdomenico 2008   25  0.5539  0.0016  0.0721  0.3330  0.2113  0.26
Poblocka 1999   56  0.4230  0.0079  0.0374  0.0386  0.0363  0.03
Rabcewiczowa 1932   78  0.2540  0.0088  0.0288  0.0288  0.0278  0.02
Rachmaninoff 1923   44  0.4788  0.0034  0.0532  0.1675  0.0340  0.07
Rangell 2001   14  0.6222  0.009  0.0916  0.3636  0.1716  0.25
Richter 1976   32  0.5149  0.0032  0.0630  0.1848  0.0535  0.09
Rosen 1989   20  0.559  0.0029  0.0631  0.1758  0.0438  0.08
Rosenthal 1930   6  0.6711  0.0017  0.079  0.4420  0.416  0.42
Rosenthal 1931   2  0.922  0.042  0.842  0.922  0.932  0.92
Rosenthal 1931b   1  0.961  0.911  0.901  0.962  0.971  0.96
Rosenthal 1931c   3  0.793  0.013  0.323  0.763  0.783  0.77
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   80  0.2135  0.0052  0.0460  0.0473  0.0365  0.03
Rubinstein 1939   58  0.4012  0.0028  0.0640  0.118  0.4818  0.23
Rubinstein 1952   24  0.5555  0.0027  0.0726  0.2727  0.3111  0.29
Rubinstein 1966   43  0.4772  0.0049  0.0549  0.0560  0.0549  0.05
Schilhawsky 1960   40  0.4931  0.0041  0.0541  0.1053  0.0542  0.07
Shebanova 2002   57  0.4173  0.0068  0.0461  0.0476  0.0371  0.03
Smith 1975   27  0.5315  0.0019  0.0812  0.3858  0.0424  0.12
Sokolov 2002   48  0.4641  0.0064  0.0464  0.0486  0.0264  0.03
Sztompka 1959   83  0.1974  0.0089  0.0190  0.0186  0.0289  0.01
Tomsic 1995   38  0.4925  0.0045  0.0544  0.0985  0.0348  0.05
Uninsky 1932   84  0.1875  0.0090  0.0189  0.0186  0.0291  0.01
Uninsky 1971   69  0.3450  0.0080  0.0375  0.0378  0.0368  0.03
Wasowski 1980   76  0.2789  0.0081  0.0372  0.0387  0.0277  0.02
Zak 1937   35  0.5059  0.0033  0.0636  0.1369  0.0441  0.07
Zak 1951   31  0.5190  0.0030  0.0628  0.2473  0.0432  0.10
Average   8  0.6517  0.0010  0.086  0.4778  0.0326  0.12
Random 1   88  0.0391  0.0061  0.0465  0.0412  0.4122  0.13
Random 2   91  -0.0142  0.0072  0.0373  0.0312  0.3729  0.11
Random 3   90  0.0176  0.0091  0.0191  0.0165  0.0487  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).