Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5660  0.0032  0.0527  0.2165  0.0433  0.09
Anderszewski 2003   34  0.5522  0.0025  0.0821  0.2749  0.0619  0.13
Ashkenazy 1981   71  0.3919  0.0035  0.0441  0.1058  0.0446  0.06
Bacha 2000   79  0.3658  0.0069  0.0380  0.0360  0.0466  0.03
Badura 1965   72  0.3848  0.0049  0.0462  0.0475  0.0461  0.04
Barbosa 1983   88  0.1342  0.0087  0.0379  0.0389  0.0288  0.02
Biret 1990   40  0.5233  0.0037  0.0440  0.1079  0.0356  0.05
Blet 2003   47  0.4935  0.0063  0.0373  0.0371  0.0477  0.03
Block 1995   84  0.3174  0.0085  0.0384  0.0379  0.0381  0.03
Blumental 1952   55  0.4614  0.0115  0.0726  0.2364  0.0427  0.10
Boshniakovich 1969   36  0.5436  0.0041  0.0433  0.1347  0.0729  0.10
Brailowsky 1960   54  0.4630  0.0062  0.0460  0.0467  0.0457  0.04
Bunin 1987   67  0.4140  0.0047  0.0461  0.0449  0.0755  0.05
Bunin 1987b   69  0.4067  0.0048  0.0455  0.0449  0.0749  0.05
Chiu 1999   86  0.2481  0.0079  0.0288  0.0270  0.0387  0.02
Cohen 1997   87  0.2075  0.0072  0.0371  0.0339  0.1739  0.07
Cortot 1951   35  0.5582  0.0043  0.0438  0.1067  0.0447  0.06
Csalog 1996   20  0.5951  0.0018  0.0622  0.2613  0.399  0.32
Czerny 1949   23  0.5943  0.0021  0.0716  0.3258  0.0520  0.13
Czerny 1990   22  0.5983  0.0019  0.0619  0.2951  0.0423  0.11
Duchoud 2007   80  0.3672  0.0031  0.0531  0.1455  0.0536  0.08
Ezaki 2006   44  0.5084  0.0028  0.0629  0.1859  0.0434  0.08
Falvay 1989   57  0.4573  0.0065  0.0368  0.0340  0.2530  0.09
Farrell 1958   70  0.3985  0.0068  0.0382  0.0382  0.0373  0.03
Ferenczy 1958   58  0.4544  0.0073  0.0366  0.0374  0.0380  0.03
Fliere 1977   13  0.6338  0.0023  0.0718  0.3078  0.0421  0.11
Fou 1978   49  0.4816  0.0036  0.0437  0.1182  0.0341  0.06
Francois 1956   51  0.4752  0.0070  0.0372  0.0368  0.0485  0.03
Friedman 1923   74  0.3741  0.0082  0.0287  0.0284  0.0391  0.02
Friedman 1923b   73  0.3724  0.0081  0.0383  0.0382  0.0382  0.03
Friedman 1930   62  0.4323  0.0077  0.0370  0.0366  0.0479  0.03
Garcia 2007   37  0.5486  0.0042  0.0536  0.1181  0.0345  0.06
Garcia 2007b   42  0.5161  0.0051  0.0453  0.0481  0.0386  0.03
Gierzod 1998   14  0.6328  0.0020  0.0614  0.3350  0.0617  0.14
Gornostaeva 1994   6  0.6610  0.0112  0.1010  0.3925  0.2210  0.29
Groot 1988   83  0.3349  0.0080  0.0381  0.0388  0.0290  0.02
Harasiewicz 1955   46  0.4937  0.0016  0.0723  0.2557  0.0524  0.11
Hatto 1993   82  0.3587  0.0075  0.0367  0.0357  0.0665  0.04
Hatto 1997   75  0.3788  0.0074  0.0451  0.0452  0.0652  0.05
Horowitz 1949   59  0.4445  0.0066  0.0376  0.0371  0.0475  0.03
Indjic 1988   78  0.3689  0.0076  0.0457  0.0455  0.0650  0.05
Kapell 1951   5  0.7076  0.0011  0.128  0.4852  0.0514  0.15
Kissin 1993   12  0.6329  0.0013  0.1012  0.3484  0.0326  0.10
Kushner 1989   19  0.5931  0.0039  0.0443  0.0976  0.0442  0.06
Luisada 1991   64  0.4247  0.0060  0.0549  0.0588  0.0267  0.03
Lushtak 2004   68  0.4177  0.0057  0.0456  0.0469  0.0462  0.04
Malcuzynski 1961   10  0.645  0.036  0.1711  0.3611  0.417  0.38
Magaloff 1978   21  0.5915  0.0114  0.0724  0.2538  0.1911  0.22
Magin 1975   17  0.6053  0.0030  0.0525  0.2472  0.0425  0.10
Michalowski 1933   25  0.5854  0.0034  0.0530  0.1565  0.0532  0.09
Milkina 1970   11  0.6425  0.0022  0.0620  0.2983  0.0331  0.09
Mohovich 1999   39  0.5363  0.0054  0.0450  0.0482  0.0464  0.04
Moravec 1969   15  0.637  0.027  0.137  0.505  0.565  0.53
Morozova 2008   53  0.4664  0.0038  0.0445  0.0779  0.0351  0.05
Neighaus 1950   61  0.4446  0.0067  0.0375  0.0375  0.0484  0.03
Niedzielski 1931   31  0.5655  0.0046  0.0459  0.0484  0.0372  0.03
Ohlsson 1999   50  0.4818  0.0044  0.0442  0.0965  0.0444  0.06
Osinska 1989   26  0.5834  0.0033  0.0535  0.1285  0.0340  0.06
Pachmann 1927   29  0.5668  0.0045  0.0444  0.0829  0.2415  0.14
Paderewski 1930   38  0.5456  0.0050  0.0464  0.0481  0.0376  0.03
Perlemuter 1992   56  0.4669  0.0056  0.0463  0.0482  0.0369  0.03
Pierdomenico 2008   85  0.2759  0.0088  0.0374  0.0386  0.0371  0.03
Poblocka 1999   8  0.6539  0.0024  0.0913  0.3368  0.0422  0.11
Rabcewiczowa 1932   16  0.628  0.0110  0.1015  0.3336  0.1412  0.21
Rachmaninoff 1923   9  0.643  0.055  0.305  0.6216  0.356  0.47
Rangell 2001   60  0.4462  0.0055  0.0458  0.0481  0.0383  0.03
Richter 1976   52  0.4611  0.0126  0.0734  0.1243  0.1518  0.13
Rosen 1989   28  0.5657  0.0053  0.0454  0.0454  0.0563  0.04
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   3  0.852  0.073  0.373  0.824  0.834  0.82
Rosenthal 1931b   2  0.856  0.032  0.302  0.834  0.862  0.84
Rosenthal 1931c   1  0.881  0.621  0.611  0.864  0.861  0.86
Rosenthal 1931d   4  0.844  0.044  0.514  0.814  0.853  0.83
Rossi 2007   81  0.3550  0.0078  0.0286  0.0261  0.0570  0.03
Rubinstein 1939   65  0.4232  0.0064  0.0369  0.0354  0.0558  0.04
Rubinstein 1952   63  0.4370  0.0027  0.0639  0.1057  0.0637  0.08
Rubinstein 1966   76  0.3665  0.0084  0.0378  0.0375  0.0478  0.03
Schilhawsky 1960   24  0.5921  0.0017  0.0617  0.3152  0.0616  0.14
Shebanova 2002   33  0.5678  0.0052  0.0452  0.0449  0.0560  0.04
Smith 1975   27  0.579  0.0129  0.0632  0.1459  0.0438  0.07
Sokolov 2002   18  0.6013  0.019  0.119  0.4426  0.248  0.32
Sztompka 1959   32  0.5612  0.0140  0.0428  0.1874  0.0435  0.08
Tomsic 1995   77  0.3690  0.0086  0.0285  0.0259  0.0674  0.03
Uninsky 1932   43  0.5126  0.0061  0.0548  0.0561  0.0553  0.05
Uninsky 1971   48  0.4879  0.0071  0.0465  0.0470  0.0459  0.04
Wasowski 1980   66  0.4191  0.0083  0.0377  0.0375  0.0468  0.03
Zak 1937   41  0.5166  0.0058  0.0547  0.0552  0.0548  0.05
Zak 1951   45  0.5027  0.0059  0.0746  0.0751  0.0543  0.06
Average   7  0.6617  0.008  0.116  0.5449  0.0613  0.18
Random 1   90  -0.1371  0.0089  0.0289  0.029  0.4728  0.10
Random 2   89  -0.1220  0.0090  0.0290  0.0233  0.1454  0.05
Random 3   91  -0.2680  0.0091  0.0191  0.0170  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).