Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.2384  0.0051  0.0373  0.0385  0.0284  0.02
Anderszewski 2003   47  0.3069  0.0056  0.0462  0.0446  0.0462  0.04
Ashkenazy 1981   8  0.469  0.0116  0.1010  0.5240  0.1315  0.26
Bacha 2000   83  0.0976  0.0082  0.0285  0.0282  0.0381  0.02
Badura 1965   32  0.3625  0.0043  0.0543  0.1053  0.0551  0.07
Barbosa 1983   58  0.2560  0.0062  0.0554  0.0554  0.0556  0.05
Biret 1990   53  0.2870  0.0049  0.0466  0.0457  0.0465  0.04
Blet 2003   26  0.3829  0.0022  0.0721  0.4038  0.1616  0.25
Block 1995   59  0.2551  0.0060  0.0465  0.0482  0.0378  0.03
Blumental 1952   54  0.2719  0.0035  0.0735  0.2430  0.2121  0.22
Boshniakovich 1969   45  0.3177  0.0055  0.0463  0.0485  0.0279  0.03
Brailowsky 1960   81  0.1057  0.0081  0.0381  0.0387  0.0282  0.02
Bunin 1987   11  0.4412  0.016  0.135  0.5715  0.439  0.50
Bunin 1987b   10  0.4442  0.007  0.224  0.5715  0.437  0.50
Chiu 1999   31  0.3716  0.0044  0.0444  0.0847  0.0648  0.07
Cohen 1997   80  0.1052  0.0085  0.0282  0.0282  0.0285  0.02
Cortot 1951   39  0.3363  0.0036  0.1032  0.2839  0.1523  0.20
Csalog 1996   86  0.0343  0.0086  0.0188  0.0183  0.0289  0.01
Czerny 1949   27  0.3736  0.0031  0.0824  0.3838  0.1519  0.24
Czerny 1990   18  0.4026  0.0017  0.0918  0.4741  0.1318  0.25
Duchoud 2007   16  0.4171  0.0019  0.0816  0.4834  0.2513  0.35
Ezaki 2006   28  0.3778  0.0034  0.1029  0.3064  0.0431  0.11
Falvay 1989   78  0.1485  0.0079  0.0456  0.0477  0.0368  0.03
Farrell 1958   60  0.2586  0.0057  0.0468  0.0458  0.0459  0.04
Ferenczy 1958   79  0.1387  0.0070  0.0375  0.0372  0.0376  0.03
Fliere 1977   7  0.468  0.0114  0.0815  0.4844  0.1020  0.22
Fou 1978   74  0.1723  0.0077  0.0555  0.0578  0.0360  0.04
Francois 1956   43  0.3253  0.0030  0.0631  0.2863  0.0341  0.09
Friedman 1923   1  0.681  0.431  0.421  0.782  0.832  0.80
Friedman 1923b   2  0.682  0.252  0.652  0.782  0.821  0.80
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   63  0.2458  0.0066  0.0646  0.0639  0.1339  0.09
Garcia 2007b   55  0.2773  0.0065  0.0458  0.0427  0.2637  0.10
Gierzod 1998   30  0.3754  0.0027  0.0825  0.3751  0.0527  0.14
Gornostaeva 1994   33  0.364  0.0413  0.0830  0.2951  0.0435  0.11
Groot 1988   48  0.3048  0.0028  0.0737  0.2064  0.0440  0.09
Harasiewicz 1955   21  0.4015  0.0139  0.1036  0.2172  0.0346  0.08
Hatto 1993   36  0.3310  0.0147  0.0457  0.0439  0.1545  0.08
Hatto 1997   44  0.3149  0.0046  0.0550  0.0544  0.0949  0.07
Horowitz 1949   38  0.3318  0.0050  0.0370  0.0353  0.0561  0.04
Indjic 1988   42  0.3274  0.0048  0.0745  0.0736  0.1733  0.11
Kapell 1951   13  0.4314  0.0110  0.1312  0.5227  0.3911  0.45
Kissin 1993   75  0.1646  0.0074  0.0461  0.0480  0.0374  0.03
Kushner 1989   40  0.3279  0.0054  0.0378  0.0367  0.0469  0.03
Luisada 1991   62  0.2464  0.0067  0.0460  0.0482  0.0366  0.03
Lushtak 2004   25  0.3965  0.0023  0.0722  0.4061  0.0429  0.13
Malcuzynski 1961   19  0.4044  0.0021  0.0819  0.4565  0.0428  0.13
Magaloff 1978   24  0.393  0.088  0.1417  0.4739  0.1514  0.27
Magin 1975   52  0.2821  0.0064  0.0552  0.0565  0.0458  0.04
Michalowski 1933   4  0.4917  0.0012  0.109  0.5216  0.4210  0.47
Milkina 1970   87  0.0088  0.0087  0.0187  0.0188  0.0288  0.01
Mohovich 1999   66  0.2389  0.0061  0.0551  0.0580  0.0363  0.04
Moravec 1969   64  0.2450  0.0041  0.0541  0.1253  0.0542  0.08
Morozova 2008   23  0.3931  0.0033  0.0627  0.3259  0.0434  0.11
Neighaus 1950   9  0.4540  0.0018  0.0713  0.5060  0.0524  0.16
Niedzielski 1931   70  0.2145  0.0040  0.0540  0.1347  0.0638  0.09
Ohlsson 1999   20  0.4030  0.0015  0.0926  0.3260  0.0432  0.11
Osinska 1989   51  0.2947  0.0059  0.0467  0.0482  0.0367  0.03
Pachmann 1927   77  0.1620  0.0078  0.0647  0.0667  0.0455  0.05
Paderewski 1930   14  0.426  0.029  0.118  0.5410  0.505  0.52
Perlemuter 1992   50  0.2980  0.0042  0.0442  0.1064  0.0452  0.06
Pierdomenico 2008   37  0.3339  0.0058  0.0469  0.0458  0.0457  0.04
Poblocka 1999   41  0.3261  0.0038  0.0933  0.2769  0.0436  0.10
Rabcewiczowa 1932   34  0.3534  0.0045  0.0553  0.0550  0.0554  0.05
Rachmaninoff 1923   6  0.4611  0.014  0.193  0.627  0.523  0.57
Rangell 2001   68  0.2281  0.0075  0.0459  0.0464  0.0464  0.04
Richter 1976   56  0.2613  0.0152  0.0377  0.0367  0.0373  0.03
Rosen 1989   17  0.4166  0.0024  0.0823  0.3939  0.1617  0.25
Rosenthal 1930   15  0.4235  0.0020  0.0911  0.5215  0.526  0.52
Rosenthal 1931   72  0.1855  0.0069  0.0464  0.0469  0.0375  0.03
Rosenthal 1931b   69  0.2272  0.0063  0.0549  0.0543  0.1347  0.08
Rosenthal 1931c   35  0.3532  0.0037  0.0838  0.2035  0.2222  0.21
Rosenthal 1931d   76  0.1667  0.0068  0.0379  0.0365  0.0480  0.03
Rossi 2007   71  0.2082  0.0076  0.0548  0.0543  0.0853  0.06
Rubinstein 1939   89  -0.0568  0.0090  0.0190  0.0186  0.0287  0.01
Rubinstein 1952   88  -0.0137  0.0088  0.0286  0.0286  0.0286  0.02
Rubinstein 1966   82  0.0927  0.0080  0.0380  0.0386  0.0283  0.02
Schilhawsky 1960   5  0.4733  0.0011  0.1014  0.4916  0.4112  0.45
Shebanova 2002   57  0.2624  0.0053  0.0374  0.0372  0.0477  0.03
Smith 1975   22  0.4022  0.0026  0.0920  0.4347  0.0525  0.15
Sokolov 2002   29  0.3775  0.0032  0.0634  0.2756  0.0530  0.12
Sztompka 1959   3  0.4928  0.005  0.227  0.5615  0.448  0.50
Tomsic 1995   73  0.1862  0.0071  0.0372  0.0371  0.0472  0.03
Uninsky 1932   12  0.445  0.033  0.216  0.566  0.504  0.53
Uninsky 1971   49  0.3041  0.0025  0.0728  0.3149  0.0626  0.14
Wasowski 1980   46  0.317  0.0229  0.0639  0.1767  0.0443  0.08
Zak 1937   65  0.2356  0.0073  0.0376  0.0383  0.0370  0.03
Zak 1951   61  0.2438  0.0072  0.0371  0.0383  0.0371  0.03
Random 1   90  -0.0783  0.0089  0.0189  0.0182  0.0290  0.01
Random 2   85  0.0559  0.0084  0.0283  0.0228  0.2250  0.07
Random 3   84  0.0690  0.0083  0.0284  0.0220  0.3444  0.08

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).