Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.452  0.153  0.278  0.713  0.667  0.68
Anderszewski 2003   72  0.1870  0.0063  0.0374  0.0369  0.0482  0.03
Ashkenazy 1981   38  0.3026  0.0044  0.0645  0.1355  0.0744  0.10
Bacha 2000   80  0.1288  0.0080  0.0560  0.0583  0.0272  0.03
Badura 1965   33  0.3112  0.0132  0.0826  0.4326  0.4419  0.43
Barbosa 1983   64  0.2183  0.0075  0.0464  0.0485  0.0380  0.03
Biret 1990   75  0.1732  0.0069  0.0382  0.0358  0.0570  0.04
Blet 2003   61  0.2367  0.0066  0.0472  0.0471  0.0467  0.04
Block 1995   52  0.2563  0.0046  0.0647  0.0674  0.0457  0.05
Blumental 1952   65  0.2131  0.0051  0.0649  0.0666  0.0458  0.05
Boshniakovich 1969   82  0.0954  0.0064  0.0467  0.0475  0.0384  0.03
Brailowsky 1960   32  0.3149  0.0025  0.0617  0.4823  0.5014  0.49
Bunin 1987   45  0.2630  0.0055  0.0561  0.0565  0.0559  0.05
Bunin 1987b   44  0.2757  0.0054  0.0557  0.0553  0.0654  0.05
Chiu 1999   35  0.3055  0.0053  0.0563  0.0577  0.0463  0.04
Cohen 1997   24  0.3339  0.0031  0.0819  0.4727  0.4417  0.45
Cortot 1951   21  0.3441  0.0034  0.0831  0.4026  0.4521  0.42
Csalog 1996   84  0.0752  0.0086  0.0385  0.0378  0.0481  0.03
Czerny 1949   31  0.3121  0.0022  0.0820  0.4520  0.6911  0.56
Czerny 1990   22  0.3320  0.0033  0.0927  0.4336  0.3623  0.39
Duchoud 2007   57  0.2447  0.0050  0.0846  0.0873  0.0450  0.06
Ezaki 2006   9  0.436  0.064  0.179  0.6713  0.668  0.66
Falvay 1989   40  0.2964  0.0035  0.0732  0.4030  0.2726  0.33
Farrell 1958   20  0.349  0.0321  0.0938  0.2933  0.3227  0.30
Ferenczy 1958   51  0.2544  0.0027  0.0628  0.4225  0.6813  0.53
Fliere 1977   25  0.3360  0.0039  0.1035  0.3568  0.0438  0.12
Fou 1978   23  0.3362  0.0023  0.0722  0.4551  0.0536  0.15
Francois 1956   49  0.2659  0.0041  0.1239  0.2738  0.3030  0.28
Friedman 1923   50  0.2671  0.0057  0.0653  0.0653  0.0849  0.07
Friedman 1923b   54  0.2576  0.0056  0.0558  0.0559  0.0751  0.06
Friedman 1930   53  0.2535  0.0058  0.0650  0.0677  0.0456  0.05
Garcia 2007   74  0.1742  0.0076  0.0562  0.0577  0.0369  0.04
Garcia 2007b   79  0.1261  0.0082  0.0380  0.0383  0.0385  0.03
Gierzod 1998   48  0.2610  0.0224  0.0723  0.4426  0.4318  0.43
Gornostaeva 1994   15  0.3845  0.0013  0.1211  0.6419  0.609  0.62
Groot 1988   18  0.3517  0.0015  0.1816  0.5459  0.0635  0.18
Harasiewicz 1955   55  0.2446  0.0059  0.0651  0.0683  0.0371  0.04
Hatto 1993   39  0.2913  0.0120  0.0836  0.3144  0.1632  0.22
Hatto 1997   17  0.3633  0.0019  0.1325  0.4326  0.2925  0.35
Horowitz 1949   30  0.3150  0.0038  0.0933  0.4049  0.0833  0.18
Indjic 1988   58  0.2325  0.0047  0.0559  0.0559  0.0655  0.05
Kapell 1951   67  0.2077  0.0074  0.0471  0.0460  0.0653  0.05
Kissin 1993   78  0.1272  0.0084  0.0379  0.0378  0.0479  0.03
Kushner 1989   56  0.2436  0.0061  0.0465  0.0460  0.0565  0.04
Luisada 1991   41  0.2718  0.0062  0.0555  0.0573  0.0460  0.04
Lushtak 2004   77  0.1478  0.0081  0.0470  0.0486  0.0283  0.03
Malcuzynski 1961   71  0.1856  0.0078  0.0375  0.0387  0.0288  0.02
Magaloff 1978   42  0.2751  0.0026  0.0637  0.3061  0.0539  0.12
Magin 1975   89  0.0189  0.0088  0.0289  0.0289  0.0287  0.02
Michalowski 1933   68  0.1990  0.0067  0.0378  0.0381  0.0478  0.03
Milkina 1970   63  0.2143  0.0048  0.0556  0.0546  0.0947  0.07
Mohovich 1999   43  0.2722  0.0028  0.0621  0.4551  0.0734  0.18
Moravec 1969   13  0.4019  0.0018  0.1015  0.5621  0.3816  0.46
Morozova 2008   12  0.4024  0.0012  0.1314  0.6030  0.3020  0.42
Neighaus 1950   29  0.3173  0.0040  0.1140  0.2663  0.0541  0.11
Niedzielski 1931   47  0.2658  0.0049  0.0648  0.0678  0.0364  0.04
Ohlsson 1999   27  0.3274  0.0042  0.0842  0.1570  0.0445  0.08
Osinska 1989   69  0.1979  0.0072  0.0469  0.0479  0.0373  0.03
Pachmann 1927   81  0.1175  0.0083  0.0384  0.0384  0.0377  0.03
Paderewski 1930   76  0.1665  0.0073  0.0373  0.0383  0.0376  0.03
Perlemuter 1992   37  0.3029  0.0016  0.1929  0.4143  0.2029  0.29
Pierdomenico 2008   60  0.2380  0.0065  0.0468  0.0474  0.0374  0.03
Poblocka 1999   34  0.3134  0.0030  0.0924  0.4343  0.1431  0.25
Rabcewiczowa 1932   11  0.4116  0.0111  0.307  0.725  0.796  0.75
Rachmaninoff 1923   3  0.507  0.068  0.291  0.839  0.735  0.78
Rangell 2001   26  0.3240  0.0029  0.0718  0.4838  0.1928  0.30
Richter 1976   59  0.2391  0.0071  0.0377  0.0373  0.0475  0.03
Rosen 1989   10  0.4223  0.0010  0.2112  0.6423  0.5010  0.57
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   6  0.4711  0.026  0.304  0.805  0.852  0.82
Rosenthal 1931b   4  0.503  0.092  0.253  0.804  0.871  0.83
Rosenthal 1931c   1  0.5115  0.015  0.202  0.824  0.823  0.82
Rosenthal 1931d   5  0.491  0.291  0.286  0.784  0.854  0.81
Rossi 2007   91  -0.0681  0.0091  0.0191  0.0183  0.0386  0.02
Rubinstein 1939   16  0.384  0.0817  0.1330  0.4118  0.3524  0.38
Rubinstein 1952   46  0.2627  0.0043  0.0543  0.1477  0.0352  0.06
Rubinstein 1966   19  0.3514  0.0136  0.0841  0.2574  0.0442  0.10
Schilhawsky 1960   85  0.0768  0.0087  0.0287  0.0287  0.0289  0.02
Shebanova 2002   70  0.1882  0.0079  0.0466  0.0478  0.0468  0.04
Smith 1975   28  0.3266  0.0037  0.0834  0.3828  0.4122  0.39
Sokolov 2002   66  0.2038  0.0060  0.0652  0.0676  0.0362  0.04
Sztompka 1959   8  0.445  0.077  0.2710  0.6624  0.4612  0.55
Tomsic 1995   73  0.1784  0.0052  0.0554  0.0567  0.0466  0.04
Uninsky 1932   36  0.3048  0.0045  0.0744  0.1366  0.0546  0.08
Uninsky 1971   14  0.3928  0.0014  0.1913  0.6122  0.3715  0.48
Wasowski 1980   62  0.2385  0.0070  0.0383  0.0356  0.0661  0.04
Zak 1937   86  0.0586  0.0089  0.0288  0.0289  0.0190  0.01
Zak 1951   87  0.0387  0.0090  0.0190  0.0190  0.0191  0.01
Average   2  0.518  0.059  0.255  0.7980  0.0337  0.15
Random 1   88  0.0153  0.0085  0.0286  0.0226  0.2748  0.07
Random 2   83  0.0969  0.0077  0.0376  0.0318  0.4040  0.11
Random 3   90  -0.0137  0.0068  0.0381  0.0322  0.3343  0.10

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).