Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.2978  0.0061  0.0651  0.0655  0.0560  0.05
Anderszewski 2003   75  0.2359  0.0077  0.0386  0.0372  0.0380  0.03
Ashkenazy 1981   9  0.4319  0.007  0.188  0.6319  0.548  0.58
Bacha 2000   81  0.1888  0.0084  0.0469  0.0478  0.0375  0.03
Badura 1965   33  0.3524  0.0039  0.0639  0.1320  0.3634  0.22
Barbosa 1983   51  0.3272  0.0046  0.0557  0.0557  0.0659  0.05
Biret 1990   41  0.3432  0.0038  0.0636  0.1744  0.1237  0.14
Blet 2003   23  0.3861  0.0028  0.0725  0.3824  0.4221  0.40
Block 1995   29  0.3648  0.0034  0.0741  0.1252  0.0647  0.08
Blumental 1952   55  0.3149  0.0025  0.1135  0.2243  0.1336  0.17
Boshniakovich 1969   17  0.4141  0.0018  0.1214  0.5736  0.2524  0.38
Brailowsky 1960   71  0.2482  0.0062  0.0472  0.0443  0.1248  0.07
Bunin 1987   36  0.3455  0.0019  0.1122  0.5013  0.5213  0.51
Bunin 1987b   44  0.3338  0.0024  0.1824  0.4615  0.4718  0.46
Chiu 1999   6  0.4610  0.0012  0.1412  0.5714  0.5012  0.53
Cohen 1997   73  0.2479  0.0073  0.0378  0.0367  0.0383  0.03
Cortot 1951   86  0.1266  0.0087  0.0382  0.0390  0.0188  0.02
Csalog 1996   37  0.3411  0.0056  0.0748  0.0740  0.1244  0.09
Czerny 1949   83  0.1575  0.0085  0.0381  0.0385  0.0286  0.02
Czerny 1990   18  0.4116  0.0020  0.1123  0.5035  0.2825  0.37
Duchoud 2007   43  0.3353  0.0036  0.0732  0.2426  0.3229  0.28
Ezaki 2006   70  0.2489  0.0074  0.0467  0.0480  0.0466  0.04
Falvay 1989   57  0.3080  0.0060  0.0747  0.0763  0.0553  0.06
Farrell 1958   76  0.2384  0.0072  0.0475  0.0468  0.0469  0.04
Ferenczy 1958   87  0.0986  0.0086  0.0383  0.0381  0.0382  0.03
Fliere 1977   5  0.4928  0.006  0.175  0.7132  0.3316  0.48
Fou 1978   58  0.2939  0.0065  0.0558  0.0586  0.0278  0.03
Francois 1956   69  0.2573  0.0058  0.0650  0.0647  0.0565  0.05
Friedman 1923   2  0.672  0.272  0.861  0.952  0.942  0.94
Friedman 1923b   1  0.681  0.631  0.632  0.942  0.951  0.94
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   46  0.3336  0.0053  0.0556  0.0531  0.2441  0.11
Garcia 2007b   35  0.3454  0.0044  0.0444  0.0832  0.2338  0.14
Gierzod 1998   61  0.2930  0.0047  0.0561  0.0552  0.0661  0.05
Gornostaeva 1994   56  0.309  0.0059  0.0654  0.0643  0.0951  0.07
Groot 1988   16  0.4158  0.0017  0.1513  0.5733  0.2722  0.39
Harasiewicz 1955   19  0.407  0.0026  0.0834  0.2347  0.0739  0.13
Hatto 1993   13  0.4321  0.0010  0.1215  0.5630  0.2723  0.39
Hatto 1997   30  0.3637  0.0033  0.0733  0.2456  0.0540  0.11
Horowitz 1949   20  0.4013  0.0016  0.1711  0.584  0.696  0.63
Indjic 1988   15  0.4242  0.0015  0.1317  0.5529  0.3120  0.41
Kapell 1951   40  0.3443  0.0052  0.0559  0.0545  0.0949  0.07
Kissin 1993   63  0.2862  0.0057  0.0745  0.0768  0.0654  0.06
Kushner 1989   27  0.3690  0.0045  0.0466  0.0458  0.0570  0.04
Luisada 1991   26  0.3726  0.0030  0.0927  0.3840  0.1432  0.23
Lushtak 2004   50  0.3234  0.0055  0.0652  0.0657  0.0562  0.05
Malcuzynski 1961   28  0.3669  0.0048  0.0562  0.0567  0.0557  0.05
Magaloff 1978   31  0.3664  0.0032  0.1228  0.3738  0.1531  0.24
Magin 1975   11  0.4351  0.0011  0.1316  0.5513  0.579  0.56
Michalowski 1933   53  0.3127  0.0040  0.0640  0.1325  0.3733  0.22
Milkina 1970   80  0.1963  0.0078  0.0379  0.0388  0.0285  0.02
Mohovich 1999   66  0.2681  0.0063  0.0468  0.0460  0.0472  0.04
Moravec 1969   65  0.2871  0.0064  0.0465  0.0473  0.0467  0.04
Morozova 2008   45  0.3329  0.0041  0.0638  0.1367  0.0450  0.07
Neighaus 1950   22  0.3917  0.0029  0.0729  0.3439  0.1930  0.25
Niedzielski 1931   38  0.344  0.0021  0.1120  0.5112  0.5014  0.50
Ohlsson 1999   7  0.4633  0.005  0.1510  0.6012  0.4811  0.54
Osinska 1989   39  0.3452  0.0054  0.0649  0.0654  0.0555  0.05
Pachmann 1927   34  0.3525  0.0042  0.0543  0.1031  0.3135  0.18
Paderewski 1930   42  0.3315  0.0035  0.0631  0.2418  0.5326  0.36
Perlemuter 1992   21  0.4047  0.0022  0.1221  0.506  0.6010  0.55
Pierdomenico 2008   48  0.3344  0.0051  0.0563  0.0535  0.1942  0.10
Poblocka 1999   47  0.3331  0.0043  0.0542  0.1047  0.0746  0.08
Rabcewiczowa 1932   74  0.2314  0.0076  0.0387  0.0379  0.0377  0.03
Rachmaninoff 1923   25  0.3735  0.0023  0.1319  0.5119  0.4317  0.47
Rangell 2001   68  0.2640  0.0070  0.0471  0.0468  0.0473  0.04
Richter 1976   8  0.436  0.0014  0.1318  0.5230  0.3519  0.43
Rosen 1989   14  0.4312  0.0013  0.149  0.6016  0.4215  0.50
Rosenthal 1930   62  0.2887  0.0068  0.0746  0.0743  0.1343  0.10
Rosenthal 1931   85  0.1457  0.0083  0.0377  0.0359  0.0571  0.04
Rosenthal 1931b   78  0.2083  0.0069  0.0470  0.0443  0.1352  0.07
Rosenthal 1931c   72  0.2467  0.0067  0.0560  0.0547  0.0663  0.05
Rosenthal 1931d   84  0.1585  0.0081  0.0376  0.0347  0.0674  0.04
Rossi 2007   82  0.1876  0.0082  0.0384  0.0355  0.0568  0.04
Rubinstein 1939   79  0.2018  0.0080  0.0473  0.0484  0.0276  0.03
Rubinstein 1952   49  0.3322  0.0049  0.0653  0.0660  0.0464  0.05
Rubinstein 1966   59  0.2974  0.0071  0.0474  0.0481  0.0381  0.03
Schilhawsky 1960   32  0.3650  0.0027  0.0830  0.3116  0.4027  0.35
Shebanova 2002   3  0.533  0.033  0.484  0.729  0.664  0.69
Smith 1975   54  0.3123  0.0066  0.0555  0.0558  0.0556  0.05
Sokolov 2002   67  0.2670  0.0075  0.0385  0.0386  0.0284  0.02
Sztompka 1959   24  0.3865  0.0031  0.1126  0.3840  0.2428  0.30
Tomsic 1995   77  0.2356  0.0079  0.0380  0.0369  0.0479  0.03
Uninsky 1932   52  0.3146  0.0037  0.0637  0.1556  0.0545  0.09
Uninsky 1971   64  0.2845  0.0050  0.0564  0.0566  0.0558  0.05
Wasowski 1980   4  0.498  0.004  0.403  0.781  0.683  0.73
Zak 1937   12  0.4320  0.008  0.126  0.659  0.615  0.63
Zak 1951   10  0.435  0.009  0.107  0.658  0.557  0.60
Random 1   90  -0.0877  0.0089  0.0189  0.0184  0.0289  0.01
Random 2   88  -0.0360  0.0088  0.0188  0.0171  0.0387  0.02
Random 3   89  -0.0568  0.0090  0.0190  0.0181  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).