Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.7673  0.0017  0.1319  0.4543  0.1426  0.25
Anderszewski 2003   11  0.7630  0.0020  0.0933  0.3426  0.2520  0.29
Ashkenazy 1981   27  0.7049  0.0019  0.1022  0.4334  0.2021  0.29
Bacha 2000   50  0.6083  0.0050  0.0652  0.0673  0.0358  0.04
Badura 1965   23  0.7025  0.0034  0.0730  0.3827  0.4213  0.40
Barbosa 1983   62  0.5770  0.0057  0.0384  0.0346  0.0754  0.05
Biret 1990   60  0.5737  0.0065  0.0468  0.0467  0.0467  0.04
Blet 2003   59  0.5754  0.0070  0.0655  0.0682  0.0364  0.04
Block 1995   68  0.5666  0.0051  0.0656  0.0667  0.0455  0.05
Blumental 1952   53  0.6061  0.0045  0.0749  0.0787  0.0356  0.05
Boshniakovich 1969   19  0.7224  0.0024  0.0817  0.4726  0.3611  0.41
Brailowsky 1960   31  0.6762  0.0046  0.0746  0.0744  0.0946  0.08
Bunin 1987   71  0.4667  0.0049  0.0747  0.0736  0.2340  0.13
Bunin 1987b   74  0.4475  0.0048  0.0748  0.0736  0.2339  0.13
Chiu 1999   28  0.7015  0.0038  0.0841  0.2338  0.1531  0.19
Cohen 1997   82  0.3384  0.0085  0.0287  0.0283  0.0288  0.02
Cortot 1951   40  0.6438  0.0052  0.0557  0.0554  0.0469  0.04
Csalog 1996   87  0.2310  0.0176  0.0467  0.0487  0.0279  0.03
Czerny 1949   7  0.7939  0.006  0.256  0.6117  0.496  0.55
Czerny 1990   13  0.763  0.0213  0.1314  0.4932  0.1623  0.28
Duchoud 2007   73  0.448  0.0161  0.0379  0.0371  0.0380  0.03
Ezaki 2006   6  0.8044  0.0014  0.0823  0.4325  0.3015  0.36
Falvay 1989   81  0.3450  0.0087  0.0378  0.0377  0.0372  0.03
Farrell 1958   45  0.6255  0.0053  0.0560  0.0584  0.0360  0.04
Ferenczy 1958   43  0.6318  0.0047  0.0654  0.0644  0.0849  0.07
Fliere 1977   8  0.7821  0.0018  0.0813  0.4942  0.1424  0.26
Fou 1978   61  0.5740  0.0058  0.0375  0.0359  0.0475  0.03
Francois 1956   65  0.5685  0.0071  0.0845  0.0883  0.0357  0.05
Friedman 1923   1  0.952  0.162  0.811  0.872  0.832  0.85
Friedman 1923b   2  0.951  0.671  0.672  0.872  0.831  0.85
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   47  0.6212  0.0156  0.0470  0.0471  0.0381  0.03
Garcia 2007b   46  0.6213  0.0140  0.1238  0.2945  0.0738  0.14
Gierzod 1998   20  0.7286  0.0012  0.1316  0.4838  0.1622  0.28
Gornostaeva 1994   34  0.669  0.0141  0.1137  0.2939  0.1035  0.17
Groot 1988   70  0.5032  0.0060  0.0383  0.0357  0.0668  0.04
Harasiewicz 1955   10  0.766  0.0122  0.109  0.5445  0.0732  0.19
Hatto 1993   5  0.8163  0.004  0.255  0.646  0.585  0.61
Hatto 1997   4  0.8333  0.005  0.334  0.645  0.584  0.61
Horowitz 1949   32  0.6777  0.0029  0.0821  0.4426  0.429  0.43
Indjic 1988   3  0.8329  0.003  0.283  0.645  0.593  0.61
Kapell 1951   57  0.584  0.0128  0.0932  0.3572  0.0441  0.12
Kissin 1993   37  0.6488  0.0033  0.0731  0.3772  0.0343  0.11
Kushner 1989   44  0.6222  0.0067  0.0651  0.0676  0.0361  0.04
Luisada 1991   12  0.7656  0.009  0.1220  0.4520  0.3014  0.37
Lushtak 2004   42  0.6317  0.0066  0.0464  0.0473  0.0466  0.04
Malcuzynski 1961   67  0.5642  0.0030  0.0940  0.2521  0.2625  0.25
Magaloff 1978   54  0.5978  0.0054  0.0562  0.0545  0.0947  0.07
Magin 1975   33  0.6631  0.0021  0.0728  0.4047  0.0733  0.17
Michalowski 1933   38  0.6457  0.0025  0.0726  0.4128  0.2716  0.33
Milkina 1970   52  0.6014  0.0055  0.0561  0.0587  0.0362  0.04
Mohovich 1999   48  0.6189  0.0063  0.0385  0.0375  0.0483  0.03
Moravec 1969   76  0.4223  0.0075  0.0559  0.0556  0.0551  0.05
Morozova 2008   26  0.7027  0.0032  0.0836  0.3039  0.1430  0.20
Neighaus 1950   9  0.7751  0.008  0.117  0.5518  0.438  0.49
Niedzielski 1931   15  0.7516  0.007  0.1211  0.5113  0.497  0.50
Ohlsson 1999   35  0.6520  0.0037  0.0839  0.2646  0.0642  0.12
Osinska 1989   16  0.7319  0.0035  0.0929  0.3954  0.0537  0.14
Pachmann 1927   55  0.5935  0.0078  0.0472  0.0474  0.0378  0.03
Paderewski 1930   56  0.5868  0.0064  0.0382  0.0372  0.0377  0.03
Perlemuter 1992   49  0.6069  0.0069  0.0653  0.0670  0.0452  0.05
Pierdomenico 2008   84  0.3158  0.0079  0.0373  0.0371  0.0473  0.03
Poblocka 1999   58  0.5879  0.0042  0.0843  0.1560  0.0545  0.09
Rabcewiczowa 1932   69  0.5341  0.0072  0.0750  0.0769  0.0453  0.05
Rachmaninoff 1923   22  0.7171  0.0036  0.1034  0.3338  0.1329  0.21
Rangell 2001   85  0.2774  0.0083  0.0377  0.0387  0.0289  0.02
Richter 1976   64  0.5659  0.0043  0.0744  0.1528  0.4028  0.24
Rosen 1989   36  0.6528  0.0039  0.0935  0.3275  0.0444  0.11
Rosenthal 1930   75  0.4343  0.0074  0.0465  0.0469  0.0382  0.03
Rosenthal 1931   77  0.3765  0.0081  0.0469  0.0477  0.0463  0.04
Rosenthal 1931b   78  0.3764  0.0082  0.0381  0.0372  0.0485  0.03
Rosenthal 1931c   80  0.3590  0.0080  0.0374  0.0374  0.0486  0.03
Rosenthal 1931d   79  0.3676  0.0084  0.0471  0.0487  0.0284  0.03
Rossi 2007   66  0.567  0.0173  0.0466  0.0462  0.0559  0.04
Rubinstein 1939   63  0.5745  0.0062  0.0376  0.0364  0.0474  0.03
Rubinstein 1952   86  0.2560  0.0077  0.0563  0.0579  0.0470  0.04
Rubinstein 1966   51  0.6036  0.0068  0.0558  0.0572  0.0465  0.04
Schilhawsky 1960   30  0.6826  0.0031  0.1118  0.4639  0.2217  0.32
Shebanova 2002   29  0.6946  0.0027  0.0925  0.4147  0.0636  0.16
Smith 1975   39  0.645  0.0144  0.0842  0.1680  0.0348  0.07
Sokolov 2002   72  0.4652  0.0059  0.0380  0.0379  0.0371  0.03
Sztompka 1959   18  0.7247  0.0023  0.0824  0.4147  0.0734  0.17
Tomsic 1995   83  0.3280  0.0086  0.0386  0.0382  0.0376  0.03
Uninsky 1932   25  0.7053  0.0010  0.1112  0.5123  0.3710  0.43
Uninsky 1971   41  0.6448  0.0011  0.1715  0.4934  0.3312  0.40
Wasowski 1980   21  0.7272  0.0026  0.0927  0.4034  0.1427  0.24
Zak 1937   17  0.7234  0.0016  0.1110  0.5236  0.1619  0.29
Zak 1951   24  0.7011  0.0115  0.108  0.5433  0.1818  0.31
Random 1   90  -0.2581  0.0088  0.0289  0.0232  0.1750  0.06
Random 2   88  -0.1382  0.0089  0.0288  0.0268  0.0387  0.02
Random 3   89  -0.2487  0.0090  0.0190  0.0178  0.0290  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).