Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.5033  0.0037  0.0639  0.1761  0.0438  0.08
Anderszewski 2003   40  0.4937  0.0020  0.0734  0.2149  0.0434  0.09
Ashkenazy 1981   50  0.4752  0.0051  0.0451  0.0463  0.0458  0.04
Bacha 2000   65  0.4047  0.0068  0.0379  0.0367  0.0461  0.03
Badura 1965   75  0.3658  0.0035  0.0640  0.1460  0.0443  0.07
Barbosa 1983   87  0.2083  0.0071  0.0367  0.0382  0.0371  0.03
Biret 1990   37  0.5084  0.0045  0.0455  0.0486  0.0379  0.03
Blet 2003   45  0.4840  0.0060  0.0453  0.0483  0.0372  0.03
Block 1995   76  0.3628  0.0064  0.0366  0.0385  0.0288  0.02
Blumental 1952   57  0.436  0.0125  0.0733  0.2260  0.0436  0.09
Boshniakovich 1969   41  0.4877  0.0048  0.0373  0.0386  0.0289  0.02
Brailowsky 1960   46  0.4859  0.0047  0.0371  0.0368  0.0462  0.03
Bunin 1987   62  0.4189  0.0073  0.0545  0.0568  0.0459  0.04
Bunin 1987b   63  0.4163  0.0072  0.0378  0.0369  0.0466  0.03
Chiu 1999   86  0.2126  0.0069  0.0381  0.0381  0.0363  0.03
Cohen 1997   78  0.3162  0.0062  0.0550  0.0525  0.2328  0.11
Cortot 1951   31  0.5251  0.0050  0.0548  0.0559  0.0549  0.05
Csalog 1996   47  0.4722  0.0065  0.0459  0.0449  0.0555  0.04
Czerny 1949   30  0.5353  0.0036  0.0728  0.2842  0.0818  0.15
Czerny 1990   13  0.6023  0.008  0.158  0.5654  0.0512  0.17
Duchoud 2007   55  0.4490  0.0054  0.0452  0.0476  0.0376  0.03
Ezaki 2006   22  0.5543  0.0013  0.1111  0.5051  0.0513  0.16
Falvay 1989   26  0.5515  0.0010  0.1113  0.4728  0.368  0.41
Farrell 1958   48  0.4716  0.0041  0.0541  0.1171  0.0441  0.07
Ferenczy 1958   58  0.4234  0.0074  0.0283  0.0269  0.0473  0.03
Fliere 1977   8  0.6454  0.0014  0.1210  0.5368  0.0322  0.13
Fou 1978   43  0.4824  0.0027  0.0725  0.3147  0.0715  0.15
Francois 1956   24  0.5556  0.0032  0.0823  0.3360  0.0429  0.11
Friedman 1923   85  0.2678  0.0079  0.0380  0.0353  0.0660  0.04
Friedman 1923b   84  0.2639  0.0078  0.0286  0.0253  0.0678  0.03
Friedman 1930   69  0.3970  0.0057  0.0454  0.0450  0.0557  0.04
Garcia 2007   72  0.3872  0.0077  0.0375  0.0379  0.0377  0.03
Garcia 2007b   83  0.2767  0.0083  0.0374  0.0382  0.0382  0.03
Gierzod 1998   9  0.6248  0.0021  0.0818  0.4254  0.0521  0.14
Gornostaeva 1994   6  0.6732  0.007  0.225  0.6717  0.396  0.51
Groot 1988   42  0.4868  0.0033  0.0637  0.1872  0.0344  0.07
Harasiewicz 1955   71  0.3873  0.0018  0.0830  0.2776  0.0337  0.09
Hatto 1993   82  0.2927  0.0085  0.0376  0.0377  0.0381  0.03
Hatto 1997   79  0.3129  0.0084  0.0282  0.0284  0.0386  0.02
Horowitz 1949   60  0.4260  0.0076  0.0377  0.0385  0.0284  0.02
Indjic 1988   80  0.3087  0.0086  0.0372  0.0381  0.0370  0.03
Kapell 1951   14  0.6031  0.0031  0.0629  0.2876  0.0425  0.11
Kissin 1993   17  0.579  0.0015  0.0816  0.4357  0.0517  0.15
Kushner 1989   10  0.6244  0.0022  0.0820  0.4067  0.0423  0.13
Luisada 1991   66  0.4080  0.0042  0.0443  0.0872  0.0445  0.06
Lushtak 2004   59  0.4235  0.0034  0.0631  0.2575  0.0335  0.09
Malcuzynski 1961   7  0.6518  0.009  0.1517  0.4316  0.3310  0.38
Magaloff 1978   5  0.6911  0.005  0.286  0.6415  0.415  0.51
Magin 1975   21  0.558  0.0129  0.0627  0.3067  0.0333  0.09
Michalowski 1933   68  0.4021  0.0058  0.0461  0.0466  0.0554  0.04
Milkina 1970   11  0.6245  0.0023  0.1215  0.4554  0.0516  0.15
Mohovich 1999   23  0.5569  0.0026  0.0819  0.4085  0.0327  0.11
Moravec 1969   16  0.5919  0.0012  0.1112  0.4912  0.447  0.46
Morozova 2008   56  0.4320  0.0038  0.0738  0.1886  0.0246  0.06
Neighaus 1950   39  0.4971  0.0046  0.0369  0.0372  0.0480  0.03
Niedzielski 1931   34  0.5025  0.0053  0.0458  0.0482  0.0364  0.03
Ohlsson 1999   36  0.505  0.0144  0.0542  0.0953  0.0542  0.07
Osinska 1989   20  0.5661  0.0040  0.0935  0.2047  0.0530  0.10
Pachmann 1927   67  0.4081  0.0070  0.0370  0.0352  0.0553  0.04
Paderewski 1930   19  0.5664  0.0030  0.0636  0.1947  0.0531  0.10
Perlemuter 1992   54  0.4617  0.0028  0.1022  0.3563  0.0424  0.12
Pierdomenico 2008   70  0.3879  0.0080  0.0285  0.0281  0.0383  0.02
Poblocka 1999   27  0.5446  0.0055  0.0456  0.0463  0.0451  0.04
Rabcewiczowa 1932   29  0.5338  0.0017  0.0926  0.3145  0.0620  0.14
Rachmaninoff 1923   28  0.5413  0.0011  0.129  0.5455  0.0514  0.16
Rangell 2001   33  0.5088  0.0043  0.0344  0.0784  0.0348  0.05
Richter 1976   73  0.3749  0.0075  0.0284  0.0275  0.0385  0.02
Rosen 1989   18  0.5655  0.0039  0.0732  0.2374  0.0339  0.08
Rosenthal 1930   3  0.872  0.203  0.464  0.901  0.894  0.89
Rosenthal 1931   1  0.871  0.551  0.543  0.923  0.942  0.93
Rosenthal 1931b   2  0.874  0.072  0.461  0.933  0.951  0.94
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   4  0.863  0.114  0.812  0.933  0.943  0.93
Rossi 2007   81  0.2912  0.0052  0.0547  0.0539  0.1532  0.09
Rubinstein 1939   64  0.4036  0.0067  0.0364  0.0336  0.1840  0.07
Rubinstein 1952   35  0.5014  0.0024  0.0721  0.3732  0.2611  0.31
Rubinstein 1966   49  0.4765  0.0059  0.0462  0.0471  0.0456  0.04
Schilhawsky 1960   25  0.557  0.0116  0.0824  0.3262  0.0426  0.11
Shebanova 2002   44  0.4850  0.0066  0.0363  0.0383  0.0375  0.03
Smith 1975   12  0.6210  0.006  0.197  0.6329  0.259  0.40
Sokolov 2002   15  0.6057  0.0019  0.0914  0.4756  0.0419  0.14
Sztompka 1959   32  0.5241  0.0049  0.0365  0.0374  0.0468  0.03
Tomsic 1995   51  0.4775  0.0061  0.0549  0.0566  0.0452  0.04
Uninsky 1932   77  0.3666  0.0082  0.0368  0.0375  0.0474  0.03
Uninsky 1971   61  0.4142  0.0081  0.0287  0.0276  0.0469  0.03
Wasowski 1980   74  0.3630  0.0087  0.0460  0.0453  0.0550  0.04
Zak 1937   52  0.4685  0.0063  0.0546  0.0587  0.0265  0.03
Zak 1951   53  0.4676  0.0056  0.0457  0.0481  0.0367  0.03
Random 1   90  -0.1074  0.0089  0.0189  0.0122  0.3447  0.06
Random 2   88  -0.0686  0.0088  0.0188  0.0158  0.0487  0.02
Random 3   89  -0.1082  0.0090  0.0190  0.0176  0.0290  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).