Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.4324  0.009  0.418  0.753  0.668  0.70
Anderszewski 2003   67  0.2651  0.0055  0.0648  0.0679  0.0359  0.04
Ashkenazy 1981   33  0.3333  0.0043  0.0743  0.1868  0.0545  0.09
Bacha 2000   73  0.2254  0.0057  0.0470  0.0484  0.0372  0.03
Badura 1965   49  0.2939  0.0049  0.0558  0.0572  0.0364  0.04
Barbosa 1983   46  0.3059  0.0054  0.0650  0.0672  0.0452  0.05
Biret 1990   42  0.3120  0.0041  0.0741  0.2359  0.0541  0.11
Blet 2003   47  0.3027  0.0050  0.0561  0.0578  0.0360  0.04
Block 1995   48  0.3090  0.0035  0.0934  0.3278  0.0344  0.10
Blumental 1952   26  0.3511  0.0118  0.1117  0.6045  0.1217  0.27
Boshniakovich 1969   78  0.2042  0.0069  0.0475  0.0479  0.0465  0.04
Brailowsky 1960   7  0.4415  0.008  0.279  0.759  0.697  0.72
Bunin 1987   60  0.2782  0.0067  0.0554  0.0568  0.0466  0.04
Bunin 1987b   62  0.2772  0.0064  0.0560  0.0564  0.0457  0.04
Chiu 1999   53  0.2883  0.0060  0.0468  0.0480  0.0374  0.03
Cohen 1997   50  0.2934  0.0031  0.1233  0.3838  0.2416  0.30
Cortot 1951   41  0.3136  0.0037  0.0736  0.3033  0.2318  0.26
Csalog 1996   76  0.2156  0.0078  0.0380  0.0385  0.0382  0.03
Czerny 1949   45  0.3044  0.0038  0.0739  0.2744  0.1523  0.20
Czerny 1990   20  0.3732  0.0022  0.1015  0.6151  0.0721  0.21
Duchoud 2007   77  0.2168  0.0077  0.0478  0.0479  0.0463  0.04
Ezaki 2006   13  0.4025  0.0012  0.2311  0.6932  0.4111  0.53
Falvay 1989   32  0.3350  0.0036  0.1332  0.4063  0.0536  0.14
Farrell 1958   29  0.349  0.0133  0.1037  0.3043  0.1422  0.20
Ferenczy 1958   30  0.3435  0.0029  0.1228  0.5025  0.5810  0.54
Fliere 1977   12  0.4137  0.0013  0.1422  0.5662  0.0431  0.15
Fou 1978   16  0.3740  0.0025  0.1023  0.5660  0.0527  0.17
Francois 1956   56  0.2865  0.0047  0.0557  0.0561  0.0470  0.04
Friedman 1923   61  0.2774  0.0063  0.0562  0.0569  0.0471  0.04
Friedman 1923b   57  0.2829  0.0056  0.0464  0.0476  0.0467  0.04
Friedman 1930   52  0.2852  0.0044  0.0744  0.1347  0.0743  0.10
Garcia 2007   83  0.1873  0.0085  0.0385  0.0384  0.0384  0.03
Garcia 2007b   79  0.2071  0.0079  0.0466  0.0488  0.0287  0.03
Gierzod 1998   25  0.3616  0.0023  0.1026  0.5548  0.0724  0.20
Gornostaeva 1994   24  0.3691  0.0028  0.1125  0.5546  0.0820  0.21
Groot 1988   11  0.4141  0.0010  0.2712  0.6836  0.2514  0.41
Harasiewicz 1955   39  0.3184  0.0051  0.0651  0.0684  0.0368  0.04
Hatto 1993   21  0.3710  0.0127  0.0929  0.4364  0.0535  0.15
Hatto 1997   14  0.3946  0.0024  0.1127  0.5461  0.0530  0.16
Horowitz 1949   27  0.3526  0.0021  0.0921  0.5718  0.539  0.55
Indjic 1988   35  0.3285  0.0039  0.0838  0.2877  0.0438  0.11
Kapell 1951   55  0.2886  0.0066  0.0555  0.0583  0.0356  0.04
Kissin 1993   86  0.1779  0.0086  0.0286  0.0285  0.0390  0.02
Kushner 1989   58  0.2862  0.0072  0.0471  0.0487  0.0377  0.03
Luisada 1991   36  0.3214  0.0048  0.0553  0.0581  0.0353  0.04
Lushtak 2004   64  0.2645  0.0061  0.0469  0.0483  0.0385  0.03
Malcuzynski 1961   66  0.2666  0.0073  0.0474  0.0479  0.0378  0.03
Magaloff 1978   15  0.3843  0.0014  0.1716  0.6065  0.0432  0.15
Magin 1975   75  0.2247  0.0080  0.0381  0.0380  0.0476  0.03
Michalowski 1933   80  0.1964  0.0070  0.0477  0.0485  0.0381  0.03
Milkina 1970   54  0.2830  0.0042  0.0742  0.1958  0.0542  0.10
Mohovich 1999   28  0.3538  0.0030  0.1724  0.5579  0.0434  0.15
Moravec 1969   9  0.4319  0.0011  0.1810  0.7326  0.3312  0.49
Morozova 2008   34  0.3213  0.0034  0.1035  0.3165  0.0439  0.11
Neighaus 1950   37  0.3261  0.0032  0.1130  0.4255  0.0537  0.14
Niedzielski 1931   44  0.3021  0.0026  0.0831  0.4142  0.1519  0.25
Ohlsson 1999   38  0.3276  0.0052  0.0746  0.0755  0.0548  0.06
Osinska 1989   71  0.2588  0.0075  0.0467  0.0488  0.0273  0.03
Pachmann 1927   84  0.1767  0.0084  0.0382  0.0384  0.0380  0.03
Paderewski 1930   87  0.1587  0.0081  0.0379  0.0385  0.0379  0.03
Perlemuter 1992   68  0.2648  0.0046  0.0649  0.0644  0.1146  0.08
Pierdomenico 2008   74  0.2260  0.0082  0.0383  0.0386  0.0375  0.03
Poblocka 1999   23  0.3622  0.0019  0.1118  0.5953  0.0625  0.19
Rabcewiczowa 1932   8  0.447  0.017  0.287  0.775  0.706  0.73
Rachmaninoff 1923   6  0.535  0.035  0.575  0.872  0.855  0.86
Rangell 2001   70  0.268  0.0159  0.0473  0.0472  0.0386  0.03
Richter 1976   43  0.3158  0.0053  0.0559  0.0561  0.0551  0.05
Rosen 1989   19  0.3712  0.0017  0.1014  0.6253  0.0526  0.18
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   4  0.576  0.034  0.673  0.884  0.913  0.89
Rosenthal 1931b   2  0.601  0.351  0.341  0.904  0.931  0.91
Rosenthal 1931c   1  0.613  0.113  0.522  0.904  0.912  0.90
Rosenthal 1931d   3  0.592  0.332  0.384  0.884  0.914  0.89
Rossi 2007   89  0.0480  0.0090  0.0190  0.0190  0.0191  0.01
Rubinstein 1939   40  0.3131  0.0040  0.0940  0.2441  0.1033  0.15
Rubinstein 1952   59  0.2763  0.0058  0.0563  0.0577  0.0369  0.04
Rubinstein 1966   31  0.3317  0.0045  0.0645  0.1289  0.0349  0.06
Schilhawsky 1960   65  0.2655  0.0068  0.0647  0.0681  0.0361  0.04
Shebanova 2002   72  0.2269  0.0076  0.0476  0.0487  0.0383  0.03
Smith 1975   22  0.3728  0.0020  0.0820  0.5832  0.3213  0.43
Sokolov 2002   69  0.2653  0.0065  0.0552  0.0573  0.0355  0.04
Sztompka 1959   18  0.3718  0.0015  0.1119  0.5844  0.1615  0.30
Tomsic 1995   81  0.1975  0.0074  0.0472  0.0480  0.0458  0.04
Uninsky 1932   51  0.2923  0.0062  0.0556  0.0576  0.0362  0.04
Uninsky 1971   17  0.3749  0.0016  0.1513  0.6269  0.0428  0.16
Wasowski 1980   63  0.2677  0.0071  0.0465  0.0465  0.0554  0.04
Zak 1937   82  0.1878  0.0087  0.0288  0.0287  0.0388  0.02
Zak 1951   85  0.1789  0.0088  0.0287  0.0288  0.0389  0.02
Average   5  0.534  0.076  0.366  0.8486  0.0329  0.16
Random 1   91  -0.0170  0.0089  0.0289  0.0230  0.2847  0.07
Random 2   88  0.0681  0.0083  0.0384  0.0318  0.3840  0.11
Random 3   90  -0.0157  0.0091  0.0191  0.0119  0.3250  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).