Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.3748  0.0010  0.238  0.7220  0.477  0.58
Anderszewski 2003   13  0.3315  0.0016  0.1613  0.6254  0.0716  0.21
Ashkenazy 1981   31  0.2642  0.0030  0.1128  0.4470  0.0525  0.15
Bacha 2000   16  0.3223  0.0021  0.2119  0.5322  0.3312  0.42
Badura 1965   25  0.2812  0.0026  0.0822  0.5061  0.0427  0.14
Barbosa 1983   47  0.2243  0.0069  0.0370  0.0380  0.0379  0.03
Biret 1990   60  0.2034  0.0063  0.0460  0.0485  0.0383  0.03
Blet 2003   49  0.2149  0.0051  0.0550  0.0580  0.0356  0.04
Block 1995   65  0.1916  0.0047  0.0552  0.0582  0.0359  0.04
Blumental 1952   14  0.3328  0.0011  0.1916  0.5858  0.0618  0.19
Boshniakovich 1969   53  0.2179  0.0048  0.0746  0.0784  0.0449  0.05
Brailowsky 1960   7  0.3911  0.007  0.195  0.7717  0.586  0.67
Bunin 1987   48  0.2180  0.0068  0.0464  0.0479  0.0381  0.03
Bunin 1987b   50  0.2156  0.0064  0.0461  0.0461  0.0454  0.04
Chiu 1999   55  0.2144  0.0059  0.0458  0.0478  0.0453  0.04
Cohen 1997   19  0.3131  0.0013  0.1415  0.5916  0.588  0.58
Cortot 1951   42  0.2372  0.0053  0.0549  0.0556  0.0652  0.05
Csalog 1996   54  0.2117  0.0061  0.0555  0.0574  0.0455  0.04
Czerny 1949   58  0.2073  0.0049  0.0551  0.0560  0.0548  0.05
Czerny 1990   76  0.1781  0.0071  0.0372  0.0384  0.0382  0.03
Duchoud 2007   83  0.1174  0.0080  0.0285  0.0285  0.0388  0.02
Ezaki 2006   8  0.375  0.006  0.179  0.7233  0.409  0.54
Falvay 1989   17  0.3238  0.0027  0.0827  0.4674  0.0426  0.14
Farrell 1958   62  0.2050  0.0062  0.0462  0.0479  0.0269  0.03
Ferenczy 1958   6  0.406  0.008  0.157  0.756  0.765  0.75
Fliere 1977   29  0.2765  0.0033  0.0931  0.3778  0.0429  0.12
Fou 1978   20  0.304  0.0029  0.1425  0.4684  0.0331  0.12
Francois 1956   56  0.2066  0.0031  0.1032  0.3238  0.1615  0.23
Friedman 1923   61  0.2051  0.0067  0.0554  0.0585  0.0361  0.04
Friedman 1923b   63  0.1924  0.0066  0.0369  0.0388  0.0290  0.02
Friedman 1930   59  0.2082  0.0043  0.0643  0.1370  0.0443  0.07
Garcia 2007   74  0.1783  0.0076  0.0465  0.0486  0.0380  0.03
Garcia 2007b   81  0.1367  0.0077  0.0463  0.0485  0.0284  0.03
Gierzod 1998   5  0.4225  0.005  0.336  0.7625  0.3511  0.52
Gornostaeva 1994   40  0.2375  0.0037  0.0836  0.2581  0.0338  0.09
Groot 1988   30  0.2645  0.0024  0.0723  0.4949  0.0623  0.17
Harasiewicz 1955   39  0.2429  0.0040  0.0839  0.1886  0.0245  0.06
Hatto 1993   37  0.2552  0.0044  0.0644  0.1187  0.0251  0.05
Hatto 1997   26  0.2857  0.0035  0.0733  0.3159  0.0533  0.12
Horowitz 1949   71  0.1768  0.0056  0.0371  0.0357  0.0471  0.03
Indjic 1988   43  0.2376  0.0057  0.0373  0.0382  0.0378  0.03
Kapell 1951   78  0.1684  0.0082  0.0375  0.0384  0.0370  0.03
Kissin 1993   82  0.1258  0.0085  0.0287  0.0283  0.0387  0.02
Kushner 1989   22  0.3021  0.0022  0.0930  0.3883  0.0335  0.11
Luisada 1991   66  0.1935  0.0065  0.0376  0.0383  0.0362  0.03
Lushtak 2004   21  0.3026  0.0019  0.1817  0.5858  0.0522  0.17
Malcuzynski 1961   35  0.2653  0.0023  0.0729  0.4273  0.0428  0.13
Magaloff 1978   33  0.2685  0.0036  0.0735  0.2957  0.0530  0.12
Magin 1975   67  0.1869  0.0075  0.0368  0.0386  0.0286  0.02
Michalowski 1933   85  0.1036  0.0083  0.0378  0.0375  0.0377  0.03
Milkina 1970   32  0.2659  0.0038  0.0837  0.2355  0.0536  0.11
Mohovich 1999   12  0.349  0.0015  0.1812  0.6459  0.0520  0.18
Moravec 1969   11  0.3560  0.0012  0.1518  0.5849  0.0617  0.19
Morozova 2008   28  0.2718  0.0032  0.1034  0.3059  0.0532  0.12
Neighaus 1950   46  0.2254  0.0045  0.0845  0.0885  0.0350  0.05
Niedzielski 1931   38  0.2546  0.0017  0.1620  0.5335  0.2413  0.36
Ohlsson 1999   68  0.1861  0.0073  0.0377  0.0368  0.0476  0.03
Osinska 1989   52  0.2186  0.0054  0.0457  0.0481  0.0364  0.03
Pachmann 1927   86  0.1062  0.0087  0.0384  0.0386  0.0374  0.03
Paderewski 1930   80  0.1427  0.0079  0.0379  0.0368  0.0473  0.03
Perlemuter 1992   69  0.1739  0.0070  0.0374  0.0379  0.0363  0.03
Pierdomenico 2008   77  0.1640  0.0081  0.0382  0.0369  0.0468  0.03
Poblocka 1999   75  0.1787  0.0060  0.0456  0.0483  0.0365  0.03
Rabcewiczowa 1932   15  0.3220  0.009  0.1810  0.6729  0.4010  0.52
Rachmaninoff 1923   24  0.3030  0.0014  0.1311  0.6445  0.0914  0.24
Rangell 2001   45  0.2255  0.0041  0.0741  0.1781  0.0244  0.06
Richter 1976   79  0.1519  0.0084  0.0383  0.0385  0.0372  0.03
Rosen 1989   18  0.3163  0.0028  0.1024  0.4881  0.0334  0.12
Rosenthal 1930   4  0.607  0.004  0.834  0.931  0.904  0.91
Rosenthal 1931   1  0.851  0.771  0.771  0.991  0.991  0.99
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.763  0.043  0.903  0.971  0.973  0.97
Rosenthal 1931d   2  0.832  0.182  0.852  0.991  0.992  0.99
Rossi 2007   84  0.1188  0.0078  0.0381  0.0367  0.0467  0.03
Rubinstein 1939   27  0.2710  0.0042  0.0742  0.1570  0.0342  0.07
Rubinstein 1952   57  0.2089  0.0058  0.0467  0.0471  0.0460  0.04
Rubinstein 1966   10  0.3570  0.0020  0.2014  0.6270  0.0424  0.16
Schilhawsky 1960   51  0.2190  0.0052  0.0553  0.0555  0.0547  0.05
Shebanova 2002   73  0.1713  0.0072  0.0466  0.0481  0.0458  0.04
Smith 1975   34  0.2637  0.0025  0.0826  0.4655  0.0621  0.17
Sokolov 2002   72  0.1722  0.0074  0.0380  0.0375  0.0366  0.03
Sztompka 1959   70  0.1777  0.0055  0.0459  0.0486  0.0375  0.03
Tomsic 1995   44  0.2232  0.0039  0.0840  0.1778  0.0440  0.08
Uninsky 1932   64  0.1941  0.0050  0.0648  0.0685  0.0357  0.04
Uninsky 1971   23  0.3033  0.0018  0.1521  0.5254  0.0619  0.18
Wasowski 1980   87  0.0771  0.0088  0.0288  0.0286  0.0285  0.02
Zak 1937   41  0.2364  0.0046  0.0647  0.0665  0.0546  0.05
Zak 1951   36  0.258  0.0034  0.0838  0.2186  0.0339  0.08
Random 1   89  0.0014  0.0089  0.0289  0.0229  0.2941  0.08
Random 2   88  0.0447  0.0086  0.0286  0.0213  0.3937  0.09
Random 3   90  -0.0878  0.0090  0.0190  0.0176  0.0389  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).