Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.3115  0.0043  0.0542  0.1039  0.1528  0.12
Anderszewski 2003   34  0.3323  0.0040  0.0640  0.1375  0.0343  0.06
Ashkenazy 1981   23  0.3660  0.0014  0.1415  0.5112  0.455  0.48
Bacha 2000   64  0.2561  0.0065  0.0565  0.0573  0.0356  0.04
Badura 1965   7  0.4112  0.006  0.1111  0.5314  0.454  0.49
Barbosa 1983   37  0.3342  0.0037  0.0637  0.1970  0.0438  0.09
Biret 1990   31  0.3424  0.0031  0.0625  0.3686  0.0241  0.08
Blet 2003   52  0.286  0.0058  0.0647  0.0677  0.0368  0.04
Block 1995   38  0.3262  0.0026  0.0730  0.3051  0.0529  0.12
Blumental 1952   22  0.3630  0.0025  0.0626  0.3345  0.0817  0.16
Boshniakovich 1969   32  0.3463  0.0018  0.1116  0.5163  0.0425  0.14
Brailowsky 1960   16  0.3710  0.0022  0.1123  0.4064  0.0523  0.14
Bunin 1987   73  0.2164  0.0047  0.0562  0.0573  0.0471  0.04
Bunin 1987b   85  0.1465  0.0073  0.0477  0.0480  0.0377  0.03
Chiu 1999   68  0.2443  0.0076  0.0472  0.0475  0.0375  0.03
Cohen 1997   74  0.219  0.0059  0.0648  0.0668  0.0453  0.05
Cortot 1951   86  0.1266  0.0086  0.0481  0.0483  0.0283  0.03
Csalog 1996   72  0.2167  0.0077  0.0384  0.0378  0.0479  0.03
Czerny 1949   45  0.3013  0.0046  0.0563  0.0569  0.0469  0.04
Czerny 1990   10  0.4068  0.0015  0.157  0.5665  0.0420  0.15
Duchoud 2007   75  0.2021  0.0074  0.0471  0.0451  0.0651  0.05
Ezaki 2006   65  0.2569  0.0072  0.0469  0.0473  0.0455  0.04
Falvay 1989   26  0.3570  0.0029  0.0734  0.2371  0.0434  0.10
Farrell 1958   70  0.2371  0.0069  0.0554  0.0580  0.0362  0.04
Ferenczy 1958   47  0.3016  0.0039  0.0638  0.1560  0.0539  0.09
Fliere 1977   33  0.3472  0.0044  0.0444  0.0886  0.0347  0.05
Fou 1978   15  0.3744  0.0016  0.1318  0.4959  0.0516  0.16
Francois 1956   29  0.357  0.005  0.2114  0.5111  0.466  0.48
Friedman 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923b   1  0.951  0.981  0.971  0.991  0.991  0.99
Friedman 1930   2  0.622  0.012  0.642  0.841  0.852  0.84
Garcia 2007   80  0.1717  0.0083  0.0385  0.0375  0.0482  0.03
Garcia 2007b   56  0.275  0.0063  0.0470  0.0477  0.0384  0.03
Gierzod 1998   39  0.3273  0.0048  0.0651  0.0682  0.0370  0.04
Gornostaeva 1994   17  0.3774  0.0013  0.1412  0.5253  0.0518  0.16
Groot 1988   61  0.2614  0.0055  0.0558  0.0577  0.0472  0.04
Harasiewicz 1955   18  0.3775  0.0028  0.0729  0.3180  0.0336  0.10
Hatto 1993   13  0.3976  0.009  0.134  0.5768  0.0421  0.15
Hatto 1997   9  0.4077  0.0010  0.196  0.5752  0.0514  0.17
Horowitz 1949   51  0.2935  0.0053  0.0475  0.0427  0.3131  0.11
Indjic 1988   11  0.3945  0.0011  0.129  0.5557  0.0513  0.17
Kapell 1951   78  0.1946  0.0082  0.0386  0.0382  0.0285  0.02
Kissin 1993   54  0.2825  0.0064  0.0564  0.0570  0.0465  0.04
Kushner 1989   30  0.3447  0.0038  0.0836  0.1975  0.0437  0.09
Luisada 1991   28  0.3548  0.0023  0.1122  0.4146  0.0615  0.16
Lushtak 2004   19  0.3649  0.0027  0.0727  0.3279  0.0432  0.11
Malcuzynski 1961   49  0.2978  0.0060  0.0745  0.0777  0.0348  0.05
Magaloff 1978   43  0.3122  0.0049  0.0553  0.0578  0.0360  0.04
Magin 1975   44  0.3126  0.0051  0.0556  0.0574  0.0461  0.04
Michalowski 1933   87  0.1079  0.0087  0.0480  0.0447  0.0464  0.04
Milkina 1970   20  0.3680  0.0020  0.1519  0.4781  0.0327  0.12
Mohovich 1999   21  0.3611  0.0024  0.0824  0.3767  0.0430  0.12
Moravec 1969   69  0.2481  0.0071  0.0476  0.0481  0.0373  0.03
Morozova 2008   76  0.2031  0.0075  0.0473  0.0476  0.0381  0.03
Neighaus 1950   3  0.4682  0.003  0.4813  0.528  0.553  0.53
Niedzielski 1931   62  0.2632  0.0035  0.0641  0.1252  0.0640  0.08
Ohlsson 1999   27  0.3550  0.0032  0.0728  0.3259  0.0526  0.13
Osinska 1989   36  0.338  0.0036  0.0735  0.2166  0.0533  0.10
Pachmann 1927   79  0.1951  0.0080  0.0479  0.0477  0.0378  0.03
Paderewski 1930   77  0.2036  0.0050  0.0552  0.0546  0.0650  0.05
Perlemuter 1992   67  0.2437  0.0056  0.0555  0.0570  0.0457  0.04
Pierdomenico 2008   82  0.1683  0.0085  0.0478  0.0470  0.0376  0.03
Poblocka 1999   53  0.2852  0.0068  0.0474  0.0478  0.0458  0.04
Rabcewiczowa 1932   60  0.2684  0.0041  0.0639  0.1379  0.0342  0.06
Rachmaninoff 1923   24  0.3538  0.0021  0.1221  0.4533  0.258  0.34
Rangell 2001   63  0.2633  0.0070  0.0649  0.0655  0.0644  0.06
Richter 1976   66  0.243  0.0042  0.0543  0.0970  0.0349  0.05
Rosen 1989   25  0.3553  0.0034  0.0832  0.2845  0.0724  0.14
Rosenthal 1930   50  0.2939  0.0067  0.0650  0.0656  0.0552  0.05
Rosenthal 1931   58  0.2754  0.0061  0.0467  0.0475  0.0467  0.04
Rosenthal 1931b   59  0.2755  0.0066  0.0559  0.0545  0.0654  0.05
Rosenthal 1931c   48  0.2985  0.0052  0.0466  0.0446  0.1046  0.06
Rosenthal 1931d   57  0.2756  0.0062  0.0557  0.0545  0.0845  0.06
Rossi 2007   81  0.1740  0.0079  0.0382  0.0383  0.0374  0.03
Rubinstein 1939   14  0.3841  0.0019  0.1220  0.4653  0.0519  0.15
Rubinstein 1952   5  0.434  0.004  0.323  0.6643  0.149  0.30
Rubinstein 1966   4  0.4427  0.007  0.145  0.5755  0.0612  0.18
Schilhawsky 1960   71  0.2257  0.0078  0.0468  0.0482  0.0380  0.03
Shebanova 2002   41  0.3218  0.0033  0.0833  0.2768  0.0435  0.10
Smith 1975   6  0.4228  0.0012  0.1910  0.5436  0.277  0.38
Sokolov 2002   55  0.2786  0.0057  0.0646  0.0675  0.0359  0.04
Sztompka 1959   40  0.3287  0.0045  0.0560  0.0568  0.0463  0.04
Tomsic 1995   83  0.1634  0.0081  0.0288  0.0279  0.0386  0.02
Uninsky 1932   84  0.1588  0.0084  0.0383  0.0383  0.0287  0.02
Uninsky 1971   46  0.3058  0.0054  0.0561  0.0578  0.0466  0.04
Wasowski 1980   35  0.3319  0.0030  0.0631  0.2849  0.0722  0.14
Zak 1937   8  0.4120  0.008  0.138  0.5540  0.1410  0.28
Zak 1951   12  0.3929  0.0017  0.1617  0.5138  0.1011  0.23
Random 1   89  -0.0989  0.0088  0.0287  0.0267  0.0288  0.02
Random 2   88  -0.0859  0.0089  0.0189  0.0184  0.0289  0.01
Random 3   90  -0.1490  0.0090  0.0190  0.0188  0.0190  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).