Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.2611  0.0061  0.0661  0.0674  0.0366  0.04
Anderszewski 2003   77  0.1329  0.0078  0.0376  0.0379  0.0375  0.03
Ashkenazy 1981   14  0.5030  0.0014  0.1011  0.7225  0.5915  0.65
Bacha 2000   78  0.1212  0.0077  0.0380  0.0370  0.0472  0.03
Badura 1965   47  0.3531  0.0049  0.1047  0.1019  0.4945  0.22
Barbosa 1983   56  0.2832  0.0060  0.0758  0.0753  0.0658  0.06
Biret 1990   70  0.1633  0.0070  0.0470  0.0447  0.0960  0.06
Blet 2003   16  0.485  0.0021  0.1523  0.5410  0.6521  0.59
Block 1995   18  0.4734  0.0026  0.0727  0.5124  0.4831  0.49
Blumental 1952   65  0.2135  0.0064  0.0856  0.0872  0.0459  0.06
Boshniakovich 1969   26  0.4336  0.0027  0.0820  0.5925  0.4925  0.54
Brailowsky 1960   57  0.2737  0.0054  0.0760  0.0742  0.1950  0.12
Bunin 1987   39  0.3838  0.0034  0.0932  0.4714  0.5528  0.51
Bunin 1987b   38  0.3939  0.0032  0.0730  0.4913  0.5627  0.52
Chiu 1999   10  0.5340  0.009  0.247  0.787  0.736  0.75
Cohen 1997   69  0.1641  0.0081  0.0474  0.0489  0.0187  0.02
Cortot 1951   61  0.2442  0.0063  0.0759  0.0764  0.0462  0.05
Csalog 1996   24  0.4543  0.0031  0.0829  0.507  0.6423  0.57
Czerny 1949   88  -0.0544  0.0088  0.0289  0.0287  0.0285  0.02
Czerny 1990   48  0.3413  0.0043  0.1242  0.2832  0.4439  0.35
Duchoud 2007   40  0.3745  0.0037  0.0934  0.4326  0.4135  0.42
Ezaki 2006   71  0.1614  0.0075  0.0384  0.0369  0.0471  0.03
Falvay 1989   82  0.1046  0.0069  0.0473  0.0486  0.0273  0.03
Farrell 1958   49  0.3447  0.0033  0.0840  0.3513  0.5233  0.43
Ferenczy 1958   91  -0.1248  0.0090  0.0190  0.0187  0.0290  0.01
Fliere 1977   3  0.6715  0.003  0.373  0.875  0.843  0.85
Fou 1978   45  0.3549  0.0042  0.0843  0.2835  0.2643  0.27
Francois 1956   80  0.1150  0.0082  0.0472  0.0486  0.0279  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  0.722  0.901  0.932  0.91
Garcia 2007   34  0.4151  0.0024  0.0826  0.5316  0.5326  0.53
Garcia 2007b   55  0.2817  0.0050  0.1048  0.1040  0.2249  0.15
Gierzod 1998   73  0.1552  0.0079  0.0566  0.0570  0.0467  0.04
Gornostaeva 1994   72  0.1553  0.0068  0.0379  0.0388  0.0288  0.02
Groot 1988   31  0.4218  0.0038  0.1133  0.4440  0.2041  0.30
Harasiewicz 1955   33  0.4119  0.0048  0.0949  0.0960  0.0557  0.07
Hatto 1993   50  0.3254  0.0051  0.1246  0.1260  0.0752  0.09
Hatto 1997   75  0.1455  0.0074  0.0383  0.0374  0.0477  0.03
Horowitz 1949   19  0.4756  0.0017  0.1314  0.696  0.759  0.72
Indjic 1988   52  0.3020  0.0052  0.0950  0.0956  0.0754  0.08
Kapell 1951   41  0.3757  0.0036  0.0839  0.3634  0.2342  0.29
Kissin 1993   25  0.436  0.0029  0.0924  0.5319  0.6222  0.57
Kushner 1989   43  0.3658  0.0047  0.0854  0.0847  0.0953  0.08
Luisada 1991   28  0.4359  0.0041  0.1338  0.3741  0.2640  0.31
Lushtak 2004   53  0.2960  0.0055  0.0951  0.0942  0.1151  0.10
Malcuzynski 1961   35  0.407  0.0045  0.0945  0.1836  0.2046  0.19
Magaloff 1978   9  0.543  0.0010  0.248  0.777  0.737  0.75
Magin 1975   44  0.3621  0.0030  0.0941  0.3226  0.5037  0.40
Michalowski 1933   21  0.4661  0.0020  0.1231  0.4916  0.5030  0.49
Milkina 1970   86  0.0062  0.0086  0.0377  0.0388  0.0283  0.02
Mohovich 1999   64  0.2263  0.0066  0.0568  0.0580  0.0368  0.04
Moravec 1969   54  0.2864  0.0058  0.0664  0.0680  0.0364  0.04
Morozova 2008   32  0.4265  0.0022  0.1328  0.5119  0.4232  0.46
Neighaus 1950   29  0.4366  0.0025  0.0722  0.5532  0.3036  0.41
Niedzielski 1931   23  0.469  0.0012  0.1121  0.5616  0.5424  0.55
Ohlsson 1999   12  0.5067  0.0015  0.1218  0.6610  0.6118  0.63
Osinska 1989   51  0.3168  0.0056  0.0855  0.0855  0.0655  0.07
Pachmann 1927   5  0.614  0.005  0.276  0.784  0.844  0.81
Paderewski 1930   27  0.432  0.0035  0.0835  0.4321  0.5529  0.49
Perlemuter 1992   17  0.4869  0.0023  0.0919  0.6010  0.6816  0.64
Pierdomenico 2008   37  0.3922  0.0046  0.0952  0.0927  0.3248  0.17
Poblocka 1999   36  0.3923  0.0040  0.1236  0.3923  0.3938  0.39
Rabcewiczowa 1932   85  0.0270  0.0087  0.0382  0.0389  0.0182  0.02
Rachmaninoff 1923   20  0.4724  0.0013  0.1117  0.6712  0.7013  0.68
Rangell 2001   46  0.3525  0.0044  0.1044  0.2023  0.3544  0.26
Richter 1976   7  0.5871  0.007  0.265  0.7911  0.805  0.79
Rosen 1989   13  0.5072  0.0016  0.1213  0.7112  0.6414  0.67
Rosenthal 1930   60  0.2673  0.0065  0.0853  0.0853  0.0656  0.07
Rosenthal 1931   84  0.0874  0.0080  0.0475  0.0468  0.0374  0.03
Rosenthal 1931b   76  0.1375  0.0072  0.0567  0.0559  0.0470  0.04
Rosenthal 1931c   67  0.1976  0.0057  0.0663  0.0659  0.0463  0.05
Rosenthal 1931d   81  0.1177  0.0067  0.0471  0.0453  0.0569  0.04
Rossi 2007   66  0.2078  0.0059  0.0665  0.0610  0.5547  0.18
Rubinstein 1939   83  0.0979  0.0083  0.0378  0.0387  0.0281  0.02
Rubinstein 1952   68  0.1880  0.0073  0.0387  0.0388  0.0289  0.02
Rubinstein 1966   63  0.2281  0.0071  0.0469  0.0484  0.0376  0.03
Schilhawsky 1960   42  0.3726  0.0039  0.1237  0.3717  0.4834  0.42
Shebanova 2002   6  0.5882  0.006  0.3210  0.7614  0.6810  0.72
Smith 1975   79  0.1283  0.0084  0.0386  0.0388  0.0280  0.02
Sokolov 2002   62  0.2327  0.0062  0.0757  0.0767  0.0361  0.05
Sztompka 1959   15  0.4884  0.0018  0.1116  0.6712  0.6017  0.63
Tomsic 1995   74  0.1585  0.0076  0.0381  0.0387  0.0284  0.02
Uninsky 1932   8  0.5486  0.008  0.289  0.768  0.738  0.74
Uninsky 1971   59  0.2687  0.0053  0.0662  0.0676  0.0365  0.04
Wasowski 1980   11  0.528  0.0011  0.2012  0.719  0.6912  0.70
Zak 1937   22  0.4610  0.0019  0.1415  0.695  0.7411  0.71
Zak 1951   30  0.4288  0.0028  0.0825  0.536  0.6820  0.60
Average   4  0.6489  0.004  0.374  0.8617  0.4619  0.63
Random 1   87  -0.0290  0.0085  0.0385  0.0351  0.0478  0.03
Random 2   89  -0.0891  0.0089  0.0288  0.0280  0.0386  0.02
Random 3   90  -0.1128  0.0091  0.0191  0.0189  0.0191  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).