Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.2611  0.0060  0.0660  0.0673  0.0461  0.05
Anderszewski 2003   76  0.1329  0.0077  0.0375  0.0378  0.0375  0.03
Ashkenazy 1981   13  0.5030  0.0013  0.1010  0.7224  0.5915  0.65
Bacha 2000   77  0.1212  0.0076  0.0379  0.0369  0.0472  0.03
Badura 1965   46  0.3531  0.0048  0.1046  0.1018  0.4944  0.22
Barbosa 1983   55  0.2832  0.0059  0.0757  0.0752  0.0657  0.06
Biret 1990   69  0.1633  0.0069  0.0469  0.0446  0.0959  0.06
Blet 2003   15  0.485  0.0020  0.1622  0.549  0.6520  0.59
Block 1995   17  0.4734  0.0025  0.0726  0.5123  0.4830  0.49
Blumental 1952   64  0.2135  0.0063  0.0855  0.0871  0.0458  0.06
Boshniakovich 1969   25  0.4336  0.0026  0.0819  0.5924  0.4924  0.54
Brailowsky 1960   56  0.2737  0.0053  0.0759  0.0741  0.1949  0.12
Bunin 1987   38  0.3838  0.0033  0.0931  0.4713  0.5527  0.51
Bunin 1987b   37  0.3939  0.0031  0.0829  0.4912  0.5626  0.52
Chiu 1999   9  0.5340  0.008  0.246  0.786  0.736  0.75
Cohen 1997   68  0.1641  0.0080  0.0473  0.0488  0.0186  0.02
Cortot 1951   60  0.2442  0.0062  0.0758  0.0763  0.0462  0.05
Csalog 1996   23  0.4543  0.0030  0.0828  0.506  0.6422  0.57
Czerny 1949   87  -0.0544  0.0087  0.0288  0.0286  0.0284  0.02
Czerny 1990   47  0.3413  0.0042  0.1241  0.2831  0.4438  0.35
Duchoud 2007   39  0.3745  0.0036  0.0933  0.4325  0.4134  0.42
Ezaki 2006   70  0.1614  0.0074  0.0383  0.0368  0.0471  0.03
Falvay 1989   81  0.1046  0.0068  0.0472  0.0485  0.0273  0.03
Farrell 1958   48  0.3447  0.0032  0.0839  0.3512  0.5232  0.43
Ferenczy 1958   90  -0.1248  0.0089  0.0189  0.0186  0.0289  0.01
Fliere 1977   3  0.6715  0.003  0.493  0.874  0.843  0.85
Fou 1978   44  0.3549  0.0041  0.0842  0.2834  0.2642  0.27
Francois 1956   79  0.1150  0.0081  0.0471  0.0485  0.0278  0.03
Friedman 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923b   1  0.991  1.001  0.991  1.001  1.001  1.00
Friedman 1930   2  0.7316  0.002  0.752  0.901  0.932  0.91
Garcia 2007   33  0.4151  0.0023  0.0825  0.5315  0.5325  0.53
Garcia 2007b   54  0.2817  0.0049  0.1047  0.1039  0.2248  0.15
Gierzod 1998   72  0.1552  0.0078  0.0565  0.0569  0.0467  0.04
Gornostaeva 1994   71  0.1553  0.0067  0.0378  0.0387  0.0287  0.02
Groot 1988   30  0.4218  0.0037  0.1132  0.4439  0.2040  0.30
Harasiewicz 1955   32  0.4119  0.0047  0.1048  0.1059  0.0556  0.07
Hatto 1993   49  0.3254  0.0050  0.1245  0.1259  0.0751  0.09
Hatto 1997   74  0.1455  0.0073  0.0382  0.0373  0.0476  0.03
Horowitz 1949   18  0.4756  0.0016  0.1313  0.695  0.759  0.72
Indjic 1988   51  0.3020  0.0051  0.0949  0.0955  0.0753  0.08
Kapell 1951   40  0.3757  0.0035  0.0838  0.3633  0.2341  0.29
Kissin 1993   24  0.436  0.0028  0.0923  0.5318  0.6221  0.57
Kushner 1989   42  0.3658  0.0046  0.0853  0.0846  0.0952  0.08
Luisada 1991   27  0.4359  0.0040  0.1337  0.3740  0.2639  0.31
Lushtak 2004   52  0.2960  0.0054  0.0950  0.0941  0.1150  0.10
Malcuzynski 1961   34  0.407  0.0044  0.0944  0.1835  0.2045  0.19
Magaloff 1978   8  0.543  0.009  0.257  0.776  0.737  0.75
Magin 1975   43  0.3621  0.0029  0.0940  0.3225  0.5036  0.40
Michalowski 1933   20  0.4661  0.0019  0.1330  0.4915  0.5029  0.49
Milkina 1970   85  0.0062  0.0085  0.0376  0.0387  0.0282  0.02
Mohovich 1999   63  0.2263  0.0065  0.0567  0.0579  0.0368  0.04
Moravec 1969   53  0.2864  0.0057  0.0663  0.0679  0.0364  0.04
Morozova 2008   31  0.4265  0.0021  0.1327  0.5118  0.4231  0.46
Neighaus 1950   28  0.4366  0.0024  0.0721  0.5531  0.3035  0.41
Niedzielski 1931   22  0.469  0.0011  0.1120  0.5615  0.5423  0.55
Ohlsson 1999   11  0.5067  0.0014  0.1217  0.669  0.6118  0.63
Osinska 1989   50  0.3168  0.0055  0.0854  0.0854  0.0654  0.07
Pachmann 1927   4  0.614  0.004  0.275  0.784  0.844  0.81
Paderewski 1930   26  0.432  0.0034  0.0834  0.4320  0.5528  0.49
Perlemuter 1992   16  0.4869  0.0022  0.0918  0.609  0.6816  0.64
Pierdomenico 2008   36  0.3922  0.0045  0.0951  0.0926  0.3247  0.17
Poblocka 1999   35  0.3923  0.0039  0.1235  0.3922  0.3937  0.39
Rabcewiczowa 1932   84  0.0270  0.0086  0.0381  0.0388  0.0181  0.02
Rachmaninoff 1923   19  0.4724  0.0012  0.1116  0.6711  0.7013  0.68
Rangell 2001   45  0.3525  0.0043  0.1043  0.2022  0.3543  0.26
Richter 1976   6  0.5871  0.006  0.264  0.7910  0.805  0.79
Rosen 1989   12  0.5072  0.0015  0.1212  0.7111  0.6414  0.67
Rosenthal 1930   59  0.2673  0.0064  0.0852  0.0852  0.0655  0.07
Rosenthal 1931   83  0.0874  0.0079  0.0474  0.0467  0.0374  0.03
Rosenthal 1931b   75  0.1375  0.0071  0.0566  0.0558  0.0470  0.04
Rosenthal 1931c   66  0.1976  0.0056  0.0662  0.0658  0.0463  0.05
Rosenthal 1931d   80  0.1177  0.0066  0.0470  0.0452  0.0569  0.04
Rossi 2007   65  0.2078  0.0058  0.0664  0.0610  0.5546  0.18
Rubinstein 1939   82  0.0979  0.0082  0.0377  0.0386  0.0280  0.02
Rubinstein 1952   67  0.1880  0.0072  0.0386  0.0387  0.0288  0.02
Rubinstein 1966   62  0.2281  0.0070  0.0568  0.0583  0.0366  0.04
Schilhawsky 1960   41  0.3726  0.0038  0.1336  0.3716  0.4833  0.42
Shebanova 2002   5  0.5882  0.005  0.329  0.7613  0.6810  0.72
Smith 1975   78  0.1283  0.0083  0.0385  0.0387  0.0279  0.02
Sokolov 2002   61  0.2327  0.0061  0.0756  0.0766  0.0360  0.05
Sztompka 1959   14  0.4884  0.0017  0.1115  0.6711  0.6017  0.63
Tomsic 1995   73  0.1585  0.0075  0.0380  0.0386  0.0283  0.02
Uninsky 1932   7  0.5486  0.007  0.288  0.767  0.738  0.74
Uninsky 1971   58  0.2687  0.0052  0.0661  0.0675  0.0365  0.04
Wasowski 1980   10  0.528  0.0010  0.2011  0.718  0.6912  0.70
Zak 1937   21  0.4610  0.0018  0.1414  0.694  0.7411  0.71
Zak 1951   29  0.4288  0.0027  0.0824  0.535  0.6819  0.60
Random 1   86  -0.0289  0.0084  0.0384  0.0350  0.0477  0.03
Random 2   88  -0.0890  0.0088  0.0287  0.0279  0.0385  0.02
Random 3   89  -0.1128  0.0090  0.0190  0.0188  0.0190  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).