Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.4327  0.008  0.427  0.752  0.668  0.70
Anderszewski 2003   66  0.2650  0.0054  0.0647  0.0678  0.0359  0.04
Ashkenazy 1981   32  0.3333  0.0042  0.0742  0.1867  0.0544  0.09
Bacha 2000   72  0.2254  0.0056  0.0469  0.0483  0.0371  0.03
Badura 1965   48  0.2939  0.0048  0.0557  0.0571  0.0364  0.04
Barbosa 1983   45  0.3058  0.0053  0.0649  0.0671  0.0451  0.05
Biret 1990   41  0.3116  0.0040  0.0740  0.2358  0.0540  0.11
Blet 2003   46  0.3029  0.0049  0.0560  0.0577  0.0360  0.04
Block 1995   47  0.3089  0.0034  0.0933  0.3277  0.0343  0.10
Blumental 1952   25  0.3511  0.0117  0.1116  0.6044  0.1217  0.27
Boshniakovich 1969   77  0.2042  0.0068  0.0474  0.0478  0.0465  0.04
Brailowsky 1960   6  0.4413  0.007  0.288  0.758  0.697  0.72
Bunin 1987   59  0.2781  0.0066  0.0653  0.0667  0.0452  0.05
Bunin 1987b   61  0.2770  0.0063  0.0559  0.0563  0.0457  0.04
Chiu 1999   52  0.2882  0.0059  0.0467  0.0479  0.0373  0.03
Cohen 1997   49  0.2934  0.0030  0.1232  0.3837  0.2416  0.30
Cortot 1951   40  0.3136  0.0036  0.0735  0.3032  0.2318  0.26
Csalog 1996   75  0.2152  0.0077  0.0379  0.0384  0.0381  0.03
Czerny 1949   44  0.3045  0.0037  0.0738  0.2743  0.1523  0.20
Czerny 1990   19  0.3720  0.0021  0.1014  0.6150  0.0721  0.21
Duchoud 2007   76  0.2164  0.0076  0.0477  0.0478  0.0463  0.04
Ezaki 2006   12  0.4028  0.0011  0.2410  0.6931  0.4111  0.53
Falvay 1989   31  0.3349  0.0035  0.1331  0.4062  0.0535  0.14
Farrell 1958   28  0.346  0.0232  0.1136  0.3042  0.1422  0.20
Ferenczy 1958   29  0.3435  0.0028  0.1227  0.5024  0.5810  0.54
Fliere 1977   11  0.4137  0.0012  0.1421  0.5661  0.0527  0.17
Fou 1978   15  0.3740  0.0024  0.1022  0.5659  0.0528  0.17
Francois 1956   55  0.2867  0.0046  0.0556  0.0560  0.0469  0.04
Friedman 1923   60  0.2773  0.0062  0.0561  0.0568  0.0470  0.04
Friedman 1923b   56  0.2830  0.0055  0.0563  0.0575  0.0466  0.04
Friedman 1930   51  0.2851  0.0043  0.0743  0.1346  0.0742  0.10
Garcia 2007   82  0.1872  0.0084  0.0384  0.0383  0.0383  0.03
Garcia 2007b   78  0.2071  0.0078  0.0465  0.0487  0.0286  0.03
Gierzod 1998   24  0.3617  0.0022  0.1025  0.5547  0.0724  0.20
Gornostaeva 1994   23  0.3690  0.0027  0.1124  0.5545  0.0820  0.21
Groot 1988   10  0.4141  0.009  0.2811  0.6835  0.2514  0.41
Harasiewicz 1955   38  0.3183  0.0050  0.0650  0.0683  0.0367  0.04
Hatto 1993   20  0.377  0.0126  0.1028  0.4363  0.0534  0.15
Hatto 1997   13  0.3921  0.0023  0.1126  0.5460  0.0530  0.16
Horowitz 1949   26  0.3526  0.0020  0.0920  0.5717  0.539  0.55
Indjic 1988   34  0.3284  0.0038  0.0837  0.2876  0.0437  0.11
Kapell 1951   54  0.2885  0.0065  0.0554  0.0582  0.0356  0.04
Kissin 1993   85  0.1778  0.0085  0.0285  0.0284  0.0389  0.02
Kushner 1989   57  0.2865  0.0071  0.0470  0.0486  0.0376  0.03
Luisada 1991   35  0.3210  0.0147  0.0652  0.0680  0.0353  0.04
Lushtak 2004   63  0.2643  0.0060  0.0468  0.0482  0.0384  0.03
Malcuzynski 1961   65  0.2662  0.0072  0.0473  0.0478  0.0377  0.03
Magaloff 1978   14  0.3844  0.0013  0.1715  0.6064  0.0431  0.15
Magin 1975   74  0.2246  0.0079  0.0380  0.0379  0.0475  0.03
Michalowski 1933   79  0.1959  0.0069  0.0476  0.0484  0.0380  0.03
Milkina 1970   53  0.2832  0.0041  0.0741  0.1957  0.0541  0.10
Mohovich 1999   27  0.3538  0.0029  0.1823  0.5578  0.0433  0.15
Moravec 1969   8  0.4319  0.0010  0.189  0.7325  0.3312  0.49
Morozova 2008   33  0.3215  0.0033  0.1134  0.3164  0.0438  0.11
Neighaus 1950   36  0.3260  0.0031  0.1129  0.4254  0.0536  0.14
Niedzielski 1931   43  0.3022  0.0025  0.0930  0.4141  0.1519  0.25
Ohlsson 1999   37  0.3276  0.0051  0.0745  0.0754  0.0547  0.06
Osinska 1989   70  0.2587  0.0074  0.0466  0.0487  0.0272  0.03
Pachmann 1927   83  0.1768  0.0083  0.0381  0.0383  0.0379  0.03
Paderewski 1930   86  0.1586  0.0080  0.0378  0.0384  0.0378  0.03
Perlemuter 1992   67  0.2647  0.0045  0.0648  0.0643  0.1145  0.08
Pierdomenico 2008   73  0.2261  0.0081  0.0382  0.0385  0.0374  0.03
Poblocka 1999   22  0.3623  0.0018  0.1117  0.5952  0.0625  0.19
Rabcewiczowa 1932   7  0.448  0.016  0.286  0.774  0.706  0.73
Rachmaninoff 1923   5  0.534  0.035  0.635  0.871  0.855  0.86
Rangell 2001   69  0.269  0.0158  0.0472  0.0471  0.0385  0.03
Richter 1976   42  0.3156  0.0052  0.0558  0.0560  0.0550  0.05
Rosen 1989   18  0.3714  0.0016  0.1013  0.6252  0.0526  0.18
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   4  0.575  0.034  0.693  0.884  0.913  0.89
Rosenthal 1931b   2  0.601  0.351  0.351  0.904  0.931  0.91
Rosenthal 1931c   1  0.613  0.143  0.552  0.904  0.912  0.90
Rosenthal 1931d   3  0.592  0.332  0.384  0.884  0.914  0.89
Rossi 2007   88  0.0479  0.0089  0.0189  0.0189  0.0190  0.01
Rubinstein 1939   39  0.3125  0.0039  0.0939  0.2440  0.1032  0.15
Rubinstein 1952   58  0.2766  0.0057  0.0562  0.0576  0.0368  0.04
Rubinstein 1966   30  0.3312  0.0044  0.0644  0.1288  0.0348  0.06
Schilhawsky 1960   64  0.2655  0.0067  0.0646  0.0680  0.0361  0.04
Shebanova 2002   71  0.2263  0.0075  0.0475  0.0486  0.0382  0.03
Smith 1975   21  0.3731  0.0019  0.0819  0.5831  0.3213  0.43
Sokolov 2002   68  0.2653  0.0064  0.0651  0.0672  0.0355  0.04
Sztompka 1959   17  0.3718  0.0014  0.1118  0.5843  0.1615  0.30
Tomsic 1995   80  0.1974  0.0073  0.0471  0.0479  0.0458  0.04
Uninsky 1932   50  0.2924  0.0061  0.0555  0.0575  0.0362  0.04
Uninsky 1971   16  0.3748  0.0015  0.1512  0.6268  0.0429  0.16
Wasowski 1980   62  0.2675  0.0070  0.0464  0.0464  0.0554  0.04
Zak 1937   81  0.1877  0.0086  0.0287  0.0286  0.0387  0.02
Zak 1951   84  0.1788  0.0087  0.0286  0.0287  0.0388  0.02
Random 1   90  -0.0169  0.0088  0.0288  0.0230  0.2846  0.07
Random 2   87  0.0680  0.0082  0.0383  0.0317  0.3739  0.11
Random 3   89  -0.0157  0.0090  0.0190  0.0119  0.3249  0.06

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).