Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.3748  0.0011  0.239  0.7221  0.477  0.58
Anderszewski 2003   14  0.3315  0.0017  0.1614  0.6255  0.0617  0.19
Ashkenazy 1981   32  0.2642  0.0031  0.1129  0.4471  0.0526  0.15
Bacha 2000   17  0.3223  0.0022  0.2120  0.5323  0.3312  0.42
Badura 1965   26  0.2812  0.0027  0.0823  0.5062  0.0428  0.14
Barbosa 1983   48  0.2243  0.0070  0.0371  0.0381  0.0379  0.03
Biret 1990   61  0.2034  0.0064  0.0461  0.0486  0.0383  0.03
Blet 2003   50  0.2149  0.0052  0.0551  0.0581  0.0356  0.04
Block 1995   66  0.1916  0.0048  0.0553  0.0583  0.0359  0.04
Blumental 1952   15  0.3328  0.0012  0.1817  0.5859  0.0618  0.19
Boshniakovich 1969   54  0.2179  0.0049  0.0747  0.0785  0.0450  0.05
Brailowsky 1960   8  0.3911  0.008  0.196  0.7718  0.586  0.67
Bunin 1987   49  0.2180  0.0069  0.0465  0.0480  0.0381  0.03
Bunin 1987b   51  0.2156  0.0065  0.0462  0.0462  0.0454  0.04
Chiu 1999   56  0.2144  0.0060  0.0459  0.0479  0.0453  0.04
Cohen 1997   20  0.3131  0.0014  0.1416  0.5917  0.588  0.58
Cortot 1951   43  0.2372  0.0054  0.0550  0.0557  0.0652  0.05
Csalog 1996   55  0.2117  0.0062  0.0556  0.0575  0.0455  0.04
Czerny 1949   59  0.2073  0.0050  0.0552  0.0561  0.0549  0.05
Czerny 1990   77  0.1781  0.0072  0.0373  0.0385  0.0382  0.03
Duchoud 2007   84  0.1174  0.0081  0.0286  0.0286  0.0389  0.02
Ezaki 2006   9  0.375  0.007  0.1710  0.7234  0.409  0.54
Falvay 1989   18  0.3238  0.0028  0.0828  0.4675  0.0427  0.14
Farrell 1958   63  0.2050  0.0063  0.0463  0.0480  0.0269  0.03
Ferenczy 1958   7  0.406  0.009  0.158  0.757  0.765  0.75
Fliere 1977   30  0.2765  0.0034  0.0932  0.3779  0.0430  0.12
Fou 1978   21  0.304  0.0030  0.1426  0.4685  0.0332  0.12
Francois 1956   57  0.2066  0.0032  0.1033  0.3239  0.1615  0.23
Friedman 1923   62  0.2051  0.0068  0.0555  0.0586  0.0361  0.04
Friedman 1923b   64  0.1924  0.0067  0.0370  0.0389  0.0291  0.02
Friedman 1930   60  0.2082  0.0044  0.0644  0.1371  0.0444  0.07
Garcia 2007   75  0.1783  0.0077  0.0466  0.0487  0.0280  0.03
Garcia 2007b   82  0.1367  0.0078  0.0464  0.0486  0.0285  0.03
Gierzod 1998   6  0.4225  0.006  0.327  0.7626  0.3511  0.52
Gornostaeva 1994   41  0.2375  0.0038  0.0837  0.2582  0.0339  0.09
Groot 1988   31  0.2645  0.0025  0.0724  0.4950  0.0525  0.16
Harasiewicz 1955   40  0.2429  0.0041  0.0840  0.1887  0.0246  0.06
Hatto 1993   38  0.2552  0.0045  0.0645  0.1188  0.0251  0.05
Hatto 1997   27  0.2857  0.0036  0.0734  0.3160  0.0534  0.12
Horowitz 1949   72  0.1768  0.0057  0.0372  0.0358  0.0471  0.03
Indjic 1988   44  0.2376  0.0058  0.0374  0.0383  0.0378  0.03
Kapell 1951   79  0.1684  0.0083  0.0376  0.0385  0.0370  0.03
Kissin 1993   83  0.1258  0.0086  0.0288  0.0284  0.0388  0.02
Kushner 1989   23  0.3021  0.0023  0.0931  0.3884  0.0336  0.11
Luisada 1991   67  0.1935  0.0066  0.0377  0.0384  0.0362  0.03
Lushtak 2004   22  0.3026  0.0020  0.1818  0.5859  0.0522  0.17
Malcuzynski 1961   36  0.2653  0.0024  0.0730  0.4274  0.0429  0.13
Magaloff 1978   34  0.2685  0.0037  0.0736  0.2958  0.0531  0.12
Magin 1975   68  0.1869  0.0076  0.0369  0.0387  0.0287  0.02
Michalowski 1933   86  0.1036  0.0084  0.0379  0.0376  0.0377  0.03
Milkina 1970   33  0.2659  0.0039  0.0838  0.2356  0.0537  0.11
Mohovich 1999   13  0.349  0.0016  0.1813  0.6460  0.0424  0.16
Moravec 1969   12  0.3560  0.0013  0.1519  0.5850  0.0616  0.19
Morozova 2008   29  0.2718  0.0033  0.1035  0.3060  0.0533  0.12
Neighaus 1950   47  0.2254  0.0046  0.0846  0.0886  0.0260  0.04
Niedzielski 1931   39  0.2546  0.0018  0.1621  0.5336  0.2413  0.36
Ohlsson 1999   69  0.1861  0.0074  0.0378  0.0369  0.0476  0.03
Osinska 1989   53  0.2186  0.0055  0.0458  0.0482  0.0364  0.03
Pachmann 1927   87  0.1062  0.0088  0.0385  0.0387  0.0374  0.03
Paderewski 1930   81  0.1427  0.0080  0.0380  0.0369  0.0473  0.03
Perlemuter 1992   70  0.1739  0.0071  0.0375  0.0380  0.0363  0.03
Pierdomenico 2008   78  0.1640  0.0082  0.0383  0.0370  0.0468  0.03
Poblocka 1999   76  0.1787  0.0061  0.0457  0.0484  0.0365  0.03
Rabcewiczowa 1932   16  0.3220  0.0010  0.1811  0.6730  0.4010  0.52
Rachmaninoff 1923   25  0.3030  0.0015  0.1312  0.6446  0.0914  0.24
Rangell 2001   46  0.2255  0.0042  0.0742  0.1782  0.0245  0.06
Richter 1976   80  0.1519  0.0085  0.0384  0.0386  0.0372  0.03
Rosen 1989   19  0.3163  0.0029  0.1025  0.4882  0.0335  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   85  0.1188  0.0079  0.0382  0.0368  0.0467  0.03
Rubinstein 1939   28  0.2710  0.0043  0.0743  0.1571  0.0343  0.07
Rubinstein 1952   58  0.2089  0.0059  0.0368  0.0372  0.0484  0.03
Rubinstein 1966   11  0.3570  0.0021  0.1915  0.6271  0.0423  0.16
Schilhawsky 1960   52  0.2190  0.0053  0.0554  0.0556  0.0548  0.05
Shebanova 2002   74  0.1713  0.0073  0.0467  0.0482  0.0458  0.04
Smith 1975   35  0.2637  0.0026  0.0727  0.4656  0.0621  0.17
Sokolov 2002   73  0.1722  0.0075  0.0381  0.0376  0.0366  0.03
Sztompka 1959   71  0.1777  0.0056  0.0460  0.0487  0.0375  0.03
Tomsic 1995   45  0.2232  0.0040  0.0841  0.1779  0.0441  0.08
Uninsky 1932   65  0.1941  0.0051  0.0649  0.0686  0.0357  0.04
Uninsky 1971   24  0.3033  0.0019  0.1422  0.5255  0.0619  0.18
Wasowski 1980   88  0.0771  0.0089  0.0289  0.0287  0.0286  0.02
Zak 1937   42  0.2364  0.0047  0.0648  0.0666  0.0447  0.05
Zak 1951   37  0.258  0.0035  0.0839  0.2187  0.0340  0.08
Average   5  0.4591  0.005  0.465  0.8574  0.0420  0.18
Random 1   90  0.0014  0.0090  0.0290  0.0229  0.3042  0.08
Random 2   89  0.0447  0.0087  0.0287  0.0212  0.4138  0.09
Random 3   91  -0.0878  0.0091  0.0191  0.0176  0.0390  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).