Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4860  0.0044  0.0444  0.0885  0.0259  0.04
Anderszewski 2003   36  0.507  0.0041  0.0637  0.1480  0.0339  0.06
Ashkenazy 1981   63  0.3848  0.0042  0.0542  0.1079  0.0345  0.05
Bacha 2000   47  0.4517  0.0025  0.0726  0.2350  0.0521  0.11
Badura 1965   84  0.1822  0.0084  0.0386  0.0387  0.0288  0.02
Barbosa 1983   87  0.1242  0.0054  0.0474  0.0487  0.0269  0.03
Biret 1990   18  0.5515  0.0022  0.0621  0.3182  0.0326  0.10
Blet 2003   53  0.4249  0.0065  0.0562  0.0577  0.0355  0.04
Block 1995   77  0.2726  0.0072  0.0559  0.0587  0.0275  0.03
Blumental 1952   30  0.525  0.0012  0.1412  0.5046  0.0612  0.17
Boshniakovich 1969   62  0.3818  0.0078  0.0382  0.0384  0.0376  0.03
Brailowsky 1960   27  0.5335  0.0020  0.0619  0.3447  0.0516  0.13
Bunin 1987   85  0.1867  0.0087  0.0477  0.0483  0.0277  0.03
Bunin 1987b   86  0.1761  0.0086  0.0385  0.0386  0.0284  0.02
Chiu 1999   81  0.2468  0.0051  0.0471  0.0488  0.0263  0.03
Cohen 1997   78  0.2529  0.0024  0.0632  0.1723  0.2911  0.22
Cortot 1951   43  0.4769  0.0063  0.0650  0.0664  0.0446  0.05
Csalog 1996   31  0.5270  0.0036  0.0638  0.1342  0.1118  0.12
Czerny 1949   46  0.4562  0.0059  0.0473  0.0481  0.0372  0.03
Czerny 1990   12  0.6150  0.009  0.1411  0.5072  0.0319  0.12
Duchoud 2007   70  0.3371  0.0055  0.0478  0.0486  0.0273  0.03
Ezaki 2006   37  0.4951  0.0017  0.1016  0.4278  0.0320  0.11
Falvay 1989   24  0.5372  0.0015  0.1517  0.4122  0.447  0.42
Farrell 1958   51  0.4273  0.0026  0.0922  0.2871  0.0425  0.11
Ferenczy 1958   67  0.3552  0.0073  0.0647  0.0677  0.0357  0.04
Fliere 1977   22  0.549  0.0034  0.0533  0.1776  0.0435  0.08
Fou 1978   49  0.4443  0.0027  0.0627  0.2157  0.0427  0.09
Francois 1956   32  0.5174  0.0039  0.0541  0.1078  0.0347  0.05
Friedman 1923   74  0.3075  0.0077  0.0384  0.0378  0.0383  0.03
Friedman 1923b   75  0.3010  0.0076  0.0476  0.0480  0.0378  0.03
Friedman 1930   65  0.3776  0.0075  0.0472  0.0481  0.0371  0.03
Garcia 2007   39  0.4877  0.0046  0.0652  0.0684  0.0274  0.03
Garcia 2007b   44  0.4678  0.0060  0.0563  0.0583  0.0361  0.04
Gierzod 1998   19  0.5579  0.0040  0.0540  0.1287  0.0243  0.05
Gornostaeva 1994   5  0.6720  0.008  0.189  0.5419  0.289  0.39
Groot 1988   66  0.3636  0.0050  0.0560  0.0585  0.0360  0.04
Harasiewicz 1955   69  0.3437  0.0061  0.0555  0.0587  0.0282  0.03
Hatto 1993   82  0.2323  0.0080  0.0467  0.0487  0.0281  0.03
Hatto 1997   79  0.2527  0.0079  0.0381  0.0387  0.0286  0.02
Horowitz 1949   73  0.3144  0.0082  0.0479  0.0481  0.0364  0.03
Indjic 1988   80  0.2545  0.0081  0.0558  0.0587  0.0268  0.03
Kapell 1951   11  0.6138  0.0030  0.0625  0.2675  0.0329  0.09
Kissin 1993   25  0.5380  0.0023  0.0723  0.2773  0.0332  0.09
Kushner 1989   14  0.5811  0.0032  0.0534  0.1763  0.0528  0.09
Luisada 1991   55  0.4153  0.0045  0.0561  0.0570  0.0448  0.04
Lushtak 2004   71  0.3381  0.0048  0.0646  0.0669  0.0444  0.05
Malcuzynski 1961   20  0.5439  0.0018  0.0830  0.1850  0.0530  0.09
Magaloff 1978   10  0.6212  0.0014  0.1213  0.4831  0.2310  0.33
Magin 1975   15  0.578  0.0019  0.0918  0.3979  0.0324  0.11
Michalowski 1933   34  0.5113  0.0057  0.0465  0.0479  0.0366  0.03
Milkina 1970   7  0.6630  0.0011  0.1410  0.5159  0.0415  0.14
Mohovich 1999   26  0.5382  0.0028  0.0629  0.1982  0.0434  0.09
Moravec 1969   6  0.6740  0.005  0.376  0.597  0.555  0.57
Morozova 2008   60  0.3931  0.0052  0.0470  0.0484  0.0370  0.03
Neighaus 1950   61  0.3963  0.0074  0.0380  0.0381  0.0380  0.03
Niedzielski 1931   23  0.5464  0.0016  0.0915  0.4484  0.0323  0.11
Ohlsson 1999   50  0.4383  0.0058  0.0648  0.0670  0.0440  0.05
Osinska 1989   17  0.5784  0.0031  0.0628  0.2180  0.0336  0.08
Pachmann 1927   45  0.4554  0.0068  0.0653  0.0663  0.0354  0.04
Paderewski 1930   35  0.5055  0.0053  0.0466  0.0485  0.0365  0.03
Perlemuter 1992   52  0.4265  0.0035  0.0536  0.1586  0.0337  0.07
Pierdomenico 2008   72  0.3346  0.0071  0.0475  0.0472  0.0450  0.04
Poblocka 1999   41  0.4785  0.0062  0.0557  0.0576  0.0349  0.04
Rabcewiczowa 1932   8  0.6521  0.006  0.247  0.5814  0.326  0.43
Rachmaninoff 1923   13  0.6019  0.007  0.215  0.5982  0.0317  0.13
Rangell 2001   42  0.4756  0.0056  0.0468  0.0471  0.0379  0.03
Richter 1976   83  0.2057  0.0085  0.0387  0.0387  0.0185  0.02
Rosen 1989   16  0.5766  0.0029  0.0724  0.2783  0.0333  0.09
Rosenthal 1930   4  0.854  0.004  0.614  0.862  0.834  0.84
Rosenthal 1931   1  0.991  0.701  0.702  0.981  0.981  0.98
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.953  0.033  0.873  0.951  0.953  0.95
Rosenthal 1931d   2  0.982  0.252  0.901  0.981  0.982  0.98
Rossi 2007   57  0.416  0.0037  0.0539  0.1345  0.1022  0.11
Rubinstein 1939   38  0.4886  0.0021  0.0620  0.3445  0.0714  0.15
Rubinstein 1952   33  0.5132  0.0013  0.1614  0.4429  0.368  0.40
Rubinstein 1966   48  0.4424  0.0047  0.0651  0.0658  0.0541  0.05
Schilhawsky 1960   56  0.4187  0.0043  0.0543  0.0986  0.0256  0.04
Shebanova 2002   29  0.5241  0.0049  0.0554  0.0586  0.0358  0.04
Smith 1975   9  0.6216  0.0010  0.128  0.5560  0.0413  0.15
Sokolov 2002   28  0.5225  0.0033  0.0535  0.1670  0.0338  0.07
Sztompka 1959   21  0.5458  0.0038  0.0631  0.1863  0.0531  0.09
Tomsic 1995   64  0.3788  0.0067  0.0556  0.0576  0.0353  0.04
Uninsky 1932   58  0.4033  0.0069  0.0745  0.0773  0.0442  0.05
Uninsky 1971   76  0.3059  0.0083  0.0383  0.0386  0.0367  0.03
Wasowski 1980   68  0.3428  0.0070  0.0469  0.0486  0.0262  0.03
Zak 1937   54  0.4247  0.0064  0.0564  0.0575  0.0351  0.04
Zak 1951   59  0.3914  0.0066  0.0649  0.0674  0.0352  0.04
Random 1   89  -0.2289  0.0089  0.0189  0.0151  0.0489  0.02
Random 2   88  -0.1290  0.0088  0.0288  0.0258  0.0387  0.02
Random 3   90  -0.2434  0.0090  0.0190  0.0177  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).