Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.2674  0.0036  0.0539  0.1262  0.0442  0.07
Anderszewski 2003   28  0.4077  0.0039  0.0538  0.1359  0.0441  0.07
Ashkenazy 1981   16  0.4517  0.0129  0.0625  0.3356  0.0432  0.11
Bacha 2000   85  0.0078  0.0085  0.0285  0.0281  0.0282  0.02
Badura 1965   30  0.3927  0.0044  0.0443  0.0857  0.0449  0.06
Barbosa 1983   56  0.2423  0.0059  0.0468  0.0463  0.0462  0.04
Biret 1990   43  0.3179  0.0047  0.0547  0.0573  0.0366  0.04
Blet 2003   38  0.3353  0.0028  0.0627  0.3040  0.1220  0.19
Block 1995   73  0.1354  0.0060  0.0471  0.0475  0.0380  0.03
Blumental 1952   51  0.2750  0.0020  0.0735  0.1720  0.2419  0.20
Boshniakovich 1969   60  0.2343  0.0068  0.0564  0.0579  0.0365  0.04
Brailowsky 1960   82  0.0547  0.0083  0.0284  0.0282  0.0383  0.02
Bunin 1987   10  0.4832  0.0011  0.1010  0.4327  0.3012  0.36
Bunin 1987b   11  0.4856  0.0012  0.1111  0.4327  0.3011  0.36
Chiu 1999   62  0.2224  0.0069  0.0381  0.0384  0.0369  0.03
Cohen 1997   83  0.0360  0.0084  0.0286  0.0272  0.0387  0.02
Cortot 1951   27  0.4148  0.0018  0.0814  0.4027  0.2913  0.34
Csalog 1996   87  -0.1059  0.0087  0.0188  0.0187  0.0290  0.01
Czerny 1949   5  0.5234  0.005  0.134  0.4918  0.396  0.44
Czerny 1990   21  0.4364  0.0017  0.1019  0.3752  0.0525  0.14
Duchoud 2007   19  0.4468  0.0021  0.0720  0.3739  0.1817  0.26
Ezaki 2006   15  0.4686  0.0025  0.0823  0.3547  0.0623  0.14
Falvay 1989   74  0.1380  0.0078  0.0377  0.0376  0.0370  0.03
Farrell 1958   47  0.2881  0.0050  0.0549  0.0560  0.0456  0.04
Ferenczy 1958   48  0.2869  0.0049  0.0555  0.0538  0.1736  0.09
Fliere 1977   34  0.387  0.0335  0.0634  0.1876  0.0340  0.07
Fou 1978   78  0.1121  0.0077  0.0380  0.0374  0.0374  0.03
Francois 1956   32  0.3862  0.0024  0.0629  0.3074  0.0337  0.09
Friedman 1923   1  0.641  0.381  0.371  0.692  0.761  0.72
Friedman 1923b   2  0.632  0.152  0.502  0.672  0.752  0.71
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   71  0.1657  0.0055  0.0550  0.0578  0.0364  0.04
Garcia 2007b   45  0.2941  0.0048  0.0470  0.0418  0.2435  0.10
Gierzod 1998   14  0.4612  0.0113  0.1115  0.4029  0.1915  0.28
Gornostaeva 1994   25  0.415  0.0515  0.0816  0.3951  0.0431  0.12
Groot 1988   59  0.2387  0.0033  0.0836  0.1777  0.0344  0.07
Harasiewicz 1955   26  0.4119  0.0038  0.0533  0.1885  0.0345  0.07
Hatto 1993   46  0.298  0.0241  0.0444  0.0839  0.0939  0.08
Hatto 1997   39  0.3367  0.0045  0.0562  0.0536  0.1238  0.08
Horowitz 1949   57  0.2437  0.0071  0.0548  0.0582  0.0359  0.04
Indjic 1988   50  0.2746  0.0054  0.0646  0.0644  0.0747  0.06
Kapell 1951   17  0.4413  0.0119  0.0813  0.4133  0.2714  0.33
Kissin 1993   77  0.1165  0.0079  0.0557  0.0579  0.0361  0.04
Kushner 1989   41  0.3272  0.0053  0.0645  0.0680  0.0357  0.04
Luisada 1991   64  0.2275  0.0067  0.0556  0.0585  0.0268  0.03
Lushtak 2004   23  0.4239  0.0026  0.0922  0.3562  0.0430  0.12
Malcuzynski 1961   29  0.3955  0.0032  0.1024  0.3473  0.0333  0.10
Magaloff 1978   36  0.354  0.0614  0.0830  0.2944  0.0921  0.16
Magin 1975   61  0.2335  0.0070  0.0476  0.0483  0.0273  0.03
Michalowski 1933   3  0.5916  0.019  0.099  0.4420  0.417  0.42
Milkina 1970   86  -0.0188  0.0086  0.0383  0.0386  0.0284  0.02
Mohovich 1999   53  0.2689  0.0037  0.0637  0.1454  0.0443  0.07
Moravec 1969   63  0.2238  0.0051  0.0554  0.0547  0.0550  0.05
Morozova 2008   31  0.3942  0.0040  0.0540  0.1175  0.0348  0.06
Neighaus 1950   13  0.4758  0.0023  0.0617  0.3855  0.0526  0.14
Niedzielski 1931   75  0.1344  0.0057  0.0560  0.0579  0.0272  0.03
Ohlsson 1999   35  0.3661  0.0046  0.0558  0.0566  0.0360  0.04
Osinska 1989   44  0.3122  0.0052  0.0551  0.0575  0.0354  0.04
Pachmann 1927   84  0.0128  0.0082  0.0474  0.0479  0.0378  0.03
Paderewski 1930   24  0.429  0.0116  0.0918  0.3712  0.389  0.37
Perlemuter 1992   55  0.2576  0.0043  0.0441  0.0960  0.0446  0.06
Pierdomenico 2008   40  0.3226  0.0061  0.0563  0.0584  0.0271  0.03
Poblocka 1999   42  0.3166  0.0042  0.0442  0.0971  0.0351  0.05
Rabcewiczowa 1932   6  0.5229  0.0010  0.0912  0.4117  0.408  0.40
Rachmaninoff 1923   12  0.4815  0.017  0.097  0.4621  0.2810  0.36
Rangell 2001   65  0.1982  0.0072  0.0466  0.0478  0.0281  0.03
Richter 1976   79  0.1020  0.0076  0.0378  0.0379  0.0377  0.03
Rosen 1989   33  0.3845  0.0034  0.0631  0.2452  0.0434  0.10
Rosenthal 1930   7  0.516  0.036  0.116  0.487  0.543  0.51
Rosenthal 1931   52  0.2736  0.0058  0.0467  0.0456  0.0463  0.04
Rosenthal 1931b   49  0.2731  0.0056  0.0553  0.0552  0.0552  0.05
Rosenthal 1931c   20  0.4330  0.0030  0.0626  0.3229  0.2216  0.27
Rosenthal 1931d   66  0.1983  0.0064  0.0561  0.0565  0.0467  0.04
Rossi 2007   58  0.2484  0.0063  0.0559  0.0568  0.0355  0.04
Rubinstein 1939   88  -0.1251  0.0089  0.0189  0.0185  0.0289  0.01
Rubinstein 1952   89  -0.1440  0.0088  0.0187  0.0172  0.0388  0.02
Rubinstein 1966   81  0.0633  0.0080  0.0379  0.0384  0.0285  0.02
Schilhawsky 1960   9  0.4810  0.0122  0.0821  0.3545  0.0722  0.16
Shebanova 2002   80  0.0849  0.0081  0.0382  0.0380  0.0379  0.03
Smith 1975   8  0.5014  0.018  0.118  0.4556  0.0427  0.13
Sokolov 2002   22  0.4225  0.0031  0.0728  0.3050  0.0529  0.12
Sztompka 1959   4  0.563  0.103  0.213  0.5412  0.454  0.49
Tomsic 1995   67  0.1973  0.0062  0.0552  0.0583  0.0358  0.04
Uninsky 1932   18  0.4411  0.014  0.185  0.4814  0.445  0.46
Uninsky 1971   37  0.3452  0.0027  0.0732  0.2343  0.1718  0.20
Wasowski 1980   70  0.1618  0.0165  0.0473  0.0450  0.0553  0.04
Zak 1937   72  0.1585  0.0074  0.0472  0.0484  0.0375  0.03
Zak 1951   68  0.1863  0.0073  0.0465  0.0482  0.0376  0.03
Random 1   90  -0.1690  0.0090  0.0190  0.0177  0.0386  0.02
Random 2   76  0.1171  0.0075  0.0475  0.045  0.4624  0.14
Random 3   69  0.1870  0.0066  0.0469  0.048  0.4528  0.13

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).