Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5177  0.0017  0.0723  0.3884  0.0335  0.11
Anderszewski 2003   13  0.5859  0.0029  0.0629  0.2951  0.0433  0.11
Ashkenazy 1981   16  0.5755  0.0014  0.0915  0.4246  0.0526  0.14
Bacha 2000   78  0.3072  0.0076  0.0475  0.0480  0.0373  0.03
Badura 1965   21  0.5532  0.0035  0.0634  0.2338  0.1818  0.20
Barbosa 1983   61  0.408  0.0164  0.0747  0.0770  0.0450  0.05
Biret 1990   52  0.4429  0.0056  0.0562  0.0581  0.0369  0.04
Blet 2003   48  0.4541  0.0043  0.0643  0.1373  0.0348  0.06
Block 1995   69  0.3437  0.0059  0.0556  0.0577  0.0367  0.04
Blumental 1952   59  0.4336  0.0032  0.0636  0.1956  0.0439  0.09
Boshniakovich 1969   35  0.4781  0.0055  0.0469  0.0460  0.0468  0.04
Brailowsky 1960   68  0.3689  0.0077  0.0381  0.0378  0.0475  0.03
Bunin 1987   41  0.4785  0.0027  0.0724  0.3631  0.3010  0.33
Bunin 1987b   43  0.4664  0.0028  0.0925  0.3631  0.319  0.33
Chiu 1999   42  0.4626  0.0065  0.0561  0.0573  0.0357  0.04
Cohen 1997   85  0.1867  0.0085  0.0286  0.0286  0.0289  0.02
Cortot 1951   26  0.5256  0.0034  0.0628  0.2958  0.0529  0.12
Csalog 1996   86  0.0648  0.0087  0.0285  0.0275  0.0387  0.02
Czerny 1949   3  0.667  0.023  0.253  0.5818  0.434  0.50
Czerny 1990   9  0.5944  0.0013  0.0912  0.4646  0.0621  0.17
Duchoud 2007   53  0.4425  0.0054  0.0479  0.0475  0.0382  0.03
Ezaki 2006   5  0.6327  0.009  0.119  0.4841  0.1216  0.24
Falvay 1989   82  0.2473  0.0083  0.0383  0.0366  0.0559  0.04
Farrell 1958   47  0.4587  0.0049  0.0559  0.0557  0.0549  0.05
Ferenczy 1958   46  0.4571  0.0041  0.0440  0.1546  0.0638  0.09
Fliere 1977   15  0.5814  0.0122  0.0721  0.3978  0.0331  0.11
Fou 1978   70  0.3417  0.0170  0.0746  0.0757  0.0546  0.06
Francois 1956   37  0.4752  0.0038  0.0639  0.1571  0.0344  0.07
Friedman 1923   1  0.802  0.302  0.701  0.782  0.811  0.79
Friedman 1923b   2  0.791  0.411  0.412  0.772  0.802  0.78
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   65  0.3970  0.0062  0.0551  0.0582  0.0366  0.04
Garcia 2007b   44  0.4639  0.0040  0.0544  0.1265  0.0445  0.07
Gierzod 1998   10  0.5924  0.007  0.118  0.4941  0.1414  0.26
Gornostaeva 1994   23  0.546  0.0221  0.1118  0.4156  0.0428  0.13
Groot 1988   67  0.3743  0.0058  0.0563  0.0586  0.0370  0.04
Harasiewicz 1955   11  0.5922  0.0026  0.0822  0.3863  0.0430  0.12
Hatto 1993   20  0.553  0.0424  0.1120  0.4128  0.1913  0.28
Hatto 1997   14  0.5810  0.0112  0.0811  0.4724  0.258  0.34
Horowitz 1949   45  0.4618  0.0063  0.0845  0.0851  0.0547  0.06
Indjic 1988   19  0.5521  0.0023  0.0719  0.4125  0.2212  0.30
Kapell 1951   29  0.515  0.0215  0.1013  0.4466  0.0427  0.13
Kissin 1993   66  0.3860  0.0067  0.0560  0.0578  0.0365  0.04
Kushner 1989   38  0.4742  0.0060  0.0554  0.0577  0.0361  0.04
Luisada 1991   33  0.4949  0.0045  0.0552  0.0566  0.0453  0.04
Lushtak 2004   24  0.5386  0.0037  0.0733  0.2466  0.0437  0.10
Malcuzynski 1961   36  0.4712  0.0120  0.0731  0.2648  0.0532  0.11
Magaloff 1978   40  0.4723  0.0047  0.0566  0.0567  0.0458  0.04
Magin 1975   49  0.4528  0.0061  0.0748  0.0786  0.0260  0.04
Michalowski 1933   7  0.6115  0.0110  0.107  0.5019  0.406  0.45
Milkina 1970   79  0.2976  0.0080  0.0470  0.0487  0.0377  0.03
Mohovich 1999   58  0.4390  0.0051  0.0473  0.0474  0.0383  0.03
Moravec 1969   73  0.3219  0.0050  0.0564  0.0552  0.0452  0.04
Morozova 2008   22  0.5447  0.0030  0.0830  0.2847  0.0434  0.11
Neighaus 1950   6  0.6211  0.016  0.144  0.5542  0.1115  0.25
Niedzielski 1931   56  0.4420  0.0033  0.0737  0.1840  0.1224  0.15
Ohlsson 1999   31  0.5074  0.0031  0.0732  0.2472  0.0436  0.10
Osinska 1989   27  0.5246  0.0039  0.0638  0.1872  0.0440  0.08
Pachmann 1927   77  0.3035  0.0082  0.0382  0.0376  0.0379  0.03
Paderewski 1930   32  0.504  0.0218  0.0827  0.3027  0.2017  0.24
Perlemuter 1992   60  0.4369  0.0052  0.0478  0.0484  0.0374  0.03
Pierdomenico 2008   76  0.3261  0.0072  0.0474  0.0485  0.0276  0.03
Poblocka 1999   50  0.4450  0.0042  0.0642  0.1571  0.0441  0.08
Rabcewiczowa 1932   25  0.5365  0.0036  0.0735  0.2243  0.1025  0.15
Rachmaninoff 1923   8  0.5933  0.008  0.1110  0.4723  0.267  0.35
Rangell 2001   83  0.2368  0.0079  0.0476  0.0464  0.0384  0.03
Richter 1976   71  0.3357  0.0069  0.0557  0.0560  0.0464  0.04
Rosen 1989   28  0.5131  0.0025  0.0826  0.3146  0.0822  0.16
Rosenthal 1930   39  0.4740  0.0044  0.0841  0.1533  0.2120  0.18
Rosenthal 1931   75  0.3245  0.0074  0.0468  0.0473  0.0380  0.03
Rosenthal 1931b   74  0.3282  0.0073  0.0477  0.0463  0.0471  0.04
Rosenthal 1931c   63  0.3958  0.0066  0.0550  0.0554  0.0472  0.04
Rosenthal 1931d   80  0.2862  0.0078  0.0380  0.0370  0.0485  0.03
Rossi 2007   62  0.4066  0.0071  0.0558  0.0570  0.0456  0.04
Rubinstein 1939   84  0.2284  0.0084  0.0384  0.0387  0.0286  0.02
Rubinstein 1952   87  0.0578  0.0086  0.0288  0.0280  0.0390  0.02
Rubinstein 1966   72  0.3334  0.0075  0.0472  0.0484  0.0381  0.03
Schilhawsky 1960   12  0.5813  0.0116  0.0716  0.4245  0.0919  0.19
Shebanova 2002   64  0.3979  0.0068  0.0649  0.0678  0.0451  0.05
Smith 1975   18  0.5730  0.0019  0.0914  0.4353  0.0523  0.15
Sokolov 2002   54  0.4480  0.0046  0.0553  0.0560  0.0455  0.04
Sztompka 1959   4  0.6438  0.004  0.225  0.5216  0.425  0.47
Tomsic 1995   81  0.2654  0.0081  0.0471  0.0478  0.0378  0.03
Uninsky 1932   17  0.579  0.015  0.256  0.5112  0.513  0.51
Uninsky 1971   34  0.4988  0.0011  0.0917  0.4235  0.2211  0.30
Wasowski 1980   55  0.4416  0.0148  0.0565  0.0576  0.0454  0.04
Zak 1937   57  0.4475  0.0057  0.0567  0.0568  0.0462  0.04
Zak 1951   51  0.4453  0.0053  0.0555  0.0573  0.0463  0.04
Random 1   90  -0.2163  0.0090  0.0190  0.0172  0.0388  0.02
Random 2   88  0.0051  0.0088  0.0289  0.0211  0.3442  0.08
Random 3   89  -0.0283  0.0089  0.0287  0.0221  0.2643  0.07

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).