Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.2944  0.0078  0.0378  0.0384  0.0285  0.02
Anderszewski 2003   19  0.5260  0.009  0.1126  0.2438  0.1320  0.18
Ashkenazy 1981   40  0.4561  0.0021  0.0642  0.1084  0.0261  0.04
Bacha 2000   43  0.4362  0.0065  0.0460  0.0457  0.0553  0.04
Badura 1965   75  0.2663  0.0061  0.0457  0.0473  0.0370  0.03
Barbosa 1983   77  0.2118  0.0080  0.0374  0.0388  0.0180  0.02
Biret 1990   46  0.4145  0.0056  0.0462  0.0485  0.0272  0.03
Blet 2003   61  0.3446  0.0077  0.0373  0.0387  0.0281  0.02
Block 1995   14  0.5617  0.0019  0.0720  0.3225  0.2611  0.29
Blumental 1952   82  0.1830  0.0073  0.0372  0.0384  0.0287  0.02
Boshniakovich 1969   34  0.4747  0.0023  0.0619  0.3633  0.1916  0.26
Brailowsky 1960   6  0.6464  0.005  0.236  0.507  0.466  0.48
Bunin 1987   28  0.4965  0.0042  0.0534  0.1644  0.0930  0.12
Bunin 1987b   29  0.4966  0.0041  0.0532  0.1744  0.0927  0.12
Chiu 1999   65  0.3348  0.0049  0.0548  0.0555  0.0547  0.05
Cohen 1997   51  0.3812  0.0052  0.0555  0.0525  0.2829  0.12
Cortot 1951   74  0.2749  0.0084  0.0284  0.0285  0.0289  0.02
Csalog 1996   78  0.2119  0.0089  0.0189  0.0184  0.0290  0.01
Czerny 1949   70  0.3031  0.0071  0.0368  0.0370  0.0369  0.03
Czerny 1990   60  0.3427  0.0070  0.0370  0.0381  0.0371  0.03
Duchoud 2007   53  0.3850  0.0067  0.0369  0.0382  0.0286  0.02
Ezaki 2006   33  0.4711  0.0044  0.0541  0.1084  0.0252  0.04
Falvay 1989   21  0.5136  0.0016  0.0628  0.2247  0.0533  0.10
Farrell 1958   20  0.5151  0.0047  0.0844  0.0832  0.1431  0.11
Ferenczy 1958   76  0.2415  0.0085  0.0286  0.0277  0.0382  0.02
Fliere 1977   8  0.5967  0.0018  0.0813  0.4154  0.0524  0.14
Fou 1978   11  0.5716  0.0014  0.127  0.4633  0.317  0.38
Francois 1956   47  0.4023  0.0043  0.0543  0.0967  0.0445  0.06
Friedman 1923   86  0.1468  0.0058  0.0367  0.0358  0.0562  0.04
Friedman 1923b   85  0.1669  0.0059  0.0458  0.0447  0.0751  0.05
Friedman 1930   72  0.2720  0.0055  0.0552  0.0553  0.0549  0.05
Garcia 2007   50  0.3937  0.0051  0.0547  0.0537  0.1839  0.09
Garcia 2007b   73  0.2738  0.0034  0.0540  0.119  0.3519  0.20
Gierzod 1998   22  0.5113  0.0015  0.0738  0.1371  0.0344  0.06
Gornostaeva 1994   9  0.599  0.008  0.1212  0.4225  0.269  0.33
Groot 1988   12  0.5632  0.006  0.129  0.4333  0.1714  0.27
Harasiewicz 1955   26  0.4924  0.0010  0.118  0.4431  0.1912  0.29
Hatto 1993   58  0.3521  0.0062  0.0461  0.0470  0.0373  0.03
Hatto 1997   59  0.3470  0.0057  0.0465  0.0482  0.0268  0.03
Horowitz 1949   16  0.5552  0.0012  0.0911  0.4220  0.318  0.36
Indjic 1988   64  0.3371  0.0063  0.0556  0.0574  0.0357  0.04
Kapell 1951   66  0.3372  0.0079  0.0375  0.0386  0.0278  0.02
Kissin 1993   32  0.485  0.0020  0.0722  0.2953  0.0528  0.12
Kushner 1989   10  0.5853  0.0025  0.0821  0.3269  0.0334  0.10
Luisada 1991   35  0.4754  0.0048  0.0551  0.0569  0.0354  0.04
Lushtak 2004   62  0.3473  0.0054  0.0550  0.0568  0.0359  0.04
Malcuzynski 1961   7  0.6055  0.0017  0.0814  0.4045  0.0722  0.17
Magaloff 1978   4  0.7074  0.004  0.414  0.6712  0.425  0.53
Magin 1975   13  0.5675  0.0024  0.0716  0.3831  0.2113  0.28
Michalowski 1933   87  0.0976  0.0072  0.0371  0.0382  0.0366  0.03
Milkina 1970   15  0.5556  0.0013  0.0915  0.4034  0.2110  0.29
Mohovich 1999   24  0.5077  0.0027  0.0727  0.2380  0.0342  0.08
Moravec 1969   57  0.3510  0.0076  0.0280  0.0278  0.0374  0.02
Morozova 2008   44  0.4278  0.0030  0.0624  0.2878  0.0338  0.09
Neighaus 1950   23  0.5079  0.0029  0.0825  0.2664  0.0435  0.10
Niedzielski 1931   67  0.3380  0.0064  0.0464  0.0446  0.0556  0.04
Ohlsson 1999   52  0.3881  0.0066  0.0459  0.0480  0.0365  0.03
Osinska 1989   56  0.3582  0.0068  0.0463  0.0478  0.0363  0.03
Pachmann 1927   49  0.3983  0.0032  0.0729  0.2132  0.2318  0.22
Paderewski 1930   54  0.3725  0.0069  0.0376  0.0357  0.0364  0.03
Perlemuter 1992   41  0.4384  0.0037  0.0630  0.1846  0.0536  0.09
Pierdomenico 2008   27  0.4985  0.0026  0.1118  0.3736  0.1517  0.24
Poblocka 1999   63  0.3486  0.0081  0.0282  0.0282  0.0376  0.02
Rabcewiczowa 1932   79  0.208  0.0082  0.0281  0.0288  0.0277  0.02
Rachmaninoff 1923   38  0.4626  0.0028  0.0723  0.2842  0.1021  0.17
Rangell 2001   17  0.5333  0.0022  0.0617  0.3757  0.0525  0.14
Richter 1976   36  0.4739  0.0036  0.0433  0.1754  0.0441  0.08
Rosen 1989   25  0.5040  0.0046  0.0553  0.0574  0.0360  0.04
Rosenthal 1930   5  0.677  0.007  0.125  0.584  0.554  0.56
Rosenthal 1931   1  0.971  0.551  0.541  0.971  0.981  0.97
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.793  0.013  0.473  0.781  0.803  0.79
Rosenthal 1931d   2  0.962  0.432  0.932  0.971  0.962  0.96
Rossi 2007   84  0.1787  0.0035  0.0445  0.0876  0.0346  0.05
Rubinstein 1939   55  0.3722  0.0033  0.0536  0.149  0.4815  0.26
Rubinstein 1952   48  0.4041  0.0040  0.0735  0.1533  0.1823  0.16
Rubinstein 1966   45  0.4157  0.0053  0.0554  0.0548  0.0548  0.05
Schilhawsky 1960   30  0.4888  0.0045  0.0549  0.0566  0.0458  0.04
Shebanova 2002   68  0.3228  0.0075  0.0279  0.0278  0.0384  0.02
Smith 1975   18  0.534  0.0011  0.1110  0.4261  0.0426  0.13
Sokolov 2002   37  0.4634  0.0050  0.0546  0.0576  0.0355  0.04
Sztompka 1959   81  0.1829  0.0083  0.0283  0.0281  0.0279  0.02
Tomsic 1995   42  0.4342  0.0039  0.0539  0.1152  0.0443  0.07
Uninsky 1932   83  0.1714  0.0086  0.0285  0.0280  0.0383  0.02
Uninsky 1971   69  0.316  0.0074  0.0377  0.0368  0.0367  0.03
Wasowski 1980   80  0.2058  0.0087  0.0188  0.0179  0.0375  0.02
Zak 1937   39  0.4659  0.0038  0.0537  0.1457  0.0540  0.08
Zak 1951   31  0.4843  0.0031  0.0531  0.1857  0.0537  0.09
Random 1   88  0.0689  0.0060  0.0366  0.039  0.4232  0.11
Random 2   90  -0.0290  0.0088  0.0187  0.0117  0.3050  0.05
Random 3   89  0.0235  0.0090  0.0190  0.0167  0.0388  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).