Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.2014  0.0027  0.0632  0.2184  0.0243  0.06
Anderszewski 2003   50  0.1830  0.0053  0.0562  0.0590  0.0276  0.03
Ashkenazy 1981   13  0.3310  0.0021  0.0922  0.3385  0.0331  0.10
Bacha 2000   77  0.0431  0.0085  0.0383  0.0390  0.0281  0.02
Badura 1965   30  0.2432  0.0022  0.0724  0.3061  0.0428  0.11
Barbosa 1983   56  0.1633  0.0065  0.0467  0.0483  0.0375  0.03
Biret 1990   59  0.1634  0.0060  0.0559  0.0581  0.0362  0.04
Blet 2003   11  0.333  0.0010  0.0712  0.4457  0.0519  0.15
Block 1995   53  0.1735  0.0028  0.0733  0.1776  0.0340  0.07
Blumental 1952   26  0.2636  0.0018  0.0919  0.3629  0.247  0.29
Boshniakovich 1969   45  0.2037  0.0036  0.0534  0.1759  0.0437  0.08
Brailowsky 1960   84  -0.0238  0.0083  0.0286  0.0290  0.0282  0.02
Bunin 1987   17  0.2939  0.0015  0.1214  0.4345  0.1110  0.22
Bunin 1987b   16  0.2940  0.0014  0.0913  0.4345  0.119  0.22
Chiu 1999   18  0.2941  0.0025  0.0627  0.2880  0.0332  0.09
Cohen 1997   88  -0.0742  0.0089  0.0289  0.0291  0.0190  0.01
Cortot 1951   25  0.2743  0.0023  0.0921  0.3445  0.0914  0.17
Csalog 1996   85  -0.0315  0.0088  0.0384  0.0391  0.0185  0.02
Czerny 1949   66  0.1344  0.0040  0.0545  0.1157  0.0539  0.07
Czerny 1990   34  0.2316  0.009  0.0811  0.4555  0.0520  0.15
Duchoud 2007   9  0.3445  0.0012  0.0915  0.4249  0.0618  0.16
Ezaki 2006   46  0.2046  0.0048  0.0652  0.0684  0.0266  0.03
Falvay 1989   86  -0.0447  0.0086  0.0382  0.0391  0.0183  0.02
Farrell 1958   24  0.2748  0.0035  0.0528  0.2672  0.0333  0.09
Ferenczy 1958   83  0.0049  0.0076  0.0474  0.0489  0.0187  0.02
Fliere 1977   8  0.3411  0.0016  0.1016  0.4259  0.0521  0.14
Fou 1978   76  0.0750  0.0078  0.0469  0.0487  0.0269  0.03
Francois 1956   74  0.0951  0.0050  0.0657  0.0674  0.0365  0.04
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  0.6812  0.002  0.742  0.831  0.782  0.80
Garcia 2007   19  0.2852  0.0031  0.0630  0.2426  0.318  0.27
Garcia 2007b   31  0.2453  0.0037  0.0544  0.1226  0.2812  0.18
Gierzod 1998   43  0.2054  0.0047  0.0653  0.0676  0.0360  0.04
Gornostaeva 1994   58  0.1655  0.0029  0.0737  0.1479  0.0346  0.06
Groot 1988   63  0.1556  0.0051  0.0846  0.0888  0.0263  0.04
Harasiewicz 1955   39  0.2157  0.0054  0.0654  0.0659  0.0452  0.05
Hatto 1993   23  0.2758  0.0055  0.0748  0.0779  0.0351  0.05
Hatto 1997   36  0.2359  0.0059  0.0476  0.0481  0.0377  0.03
Horowitz 1949   55  0.1613  0.0066  0.0561  0.0583  0.0357  0.04
Indjic 1988   29  0.2560  0.0056  0.0650  0.0683  0.0358  0.04
Kapell 1951   40  0.2161  0.0030  0.0631  0.2244  0.1215  0.16
Kissin 1993   80  0.036  0.0077  0.0378  0.0386  0.0284  0.02
Kushner 1989   33  0.2462  0.0046  0.0655  0.0687  0.0270  0.03
Luisada 1991   52  0.1763  0.0068  0.0566  0.0579  0.0353  0.04
Lushtak 2004   32  0.2464  0.0044  0.0542  0.1280  0.0344  0.06
Malcuzynski 1961   22  0.2765  0.0026  0.0620  0.3576  0.0330  0.10
Magaloff 1978   42  0.217  0.0043  0.0640  0.1375  0.0342  0.06
Magin 1975   37  0.2266  0.0042  0.0636  0.1579  0.0338  0.07
Michalowski 1933   7  0.3617  0.006  0.176  0.5130  0.336  0.41
Milkina 1970   89  -0.0867  0.0087  0.0287  0.0291  0.0189  0.01
Mohovich 1999   69  0.1218  0.0064  0.0377  0.0376  0.0380  0.03
Moravec 1969   73  0.0968  0.0063  0.0475  0.0484  0.0267  0.03
Morozova 2008   15  0.2969  0.0020  0.0618  0.3774  0.0326  0.11
Neighaus 1950   10  0.3370  0.0011  0.119  0.4681  0.0325  0.12
Niedzielski 1931   51  0.188  0.0034  0.0638  0.1338  0.1222  0.12
Ohlsson 1999   21  0.2871  0.0032  0.0726  0.2981  0.0334  0.09
Osinska 1989   61  0.1519  0.0058  0.0473  0.0486  0.0368  0.03
Pachmann 1927   70  0.115  0.0074  0.0563  0.0581  0.0274  0.03
Paderewski 1930   41  0.212  0.0024  0.0825  0.3041  0.1211  0.19
Perlemuter 1992   28  0.269  0.0017  0.0823  0.3382  0.0329  0.10
Pierdomenico 2008   60  0.1620  0.0071  0.0564  0.0572  0.0354  0.04
Poblocka 1999   47  0.1972  0.0049  0.0651  0.0675  0.0448  0.05
Rabcewiczowa 1932   67  0.1321  0.0052  0.0560  0.0579  0.0355  0.04
Rachmaninoff 1923   5  0.4022  0.004  0.274  0.6317  0.394  0.50
Rangell 2001   64  0.1473  0.0067  0.0558  0.0579  0.0361  0.04
Richter 1976   71  0.1123  0.0075  0.0468  0.0472  0.0373  0.03
Rosen 1989   6  0.3624  0.007  0.1210  0.4680  0.0324  0.12
Rosenthal 1930   27  0.2674  0.0033  0.0729  0.2551  0.0527  0.11
Rosenthal 1931   68  0.1375  0.0072  0.0565  0.0571  0.0359  0.04
Rosenthal 1931b   54  0.1676  0.0061  0.0656  0.0676  0.0364  0.04
Rosenthal 1931c   35  0.2377  0.0038  0.0635  0.1655  0.0536  0.09
Rosenthal 1931d   75  0.0978  0.0073  0.0747  0.0771  0.0350  0.05
Rossi 2007   72  0.1079  0.0041  0.0539  0.1329  0.2113  0.17
Rubinstein 1939   90  -0.1125  0.0091  0.0191  0.0191  0.0188  0.01
Rubinstein 1952   91  -0.2080  0.0090  0.0190  0.0191  0.0191  0.01
Rubinstein 1966   79  0.0326  0.0084  0.0288  0.0289  0.0286  0.02
Schilhawsky 1960   12  0.3327  0.0019  0.0717  0.3847  0.0717  0.16
Shebanova 2002   62  0.154  0.0062  0.0379  0.0382  0.0378  0.03
Smith 1975   49  0.1981  0.0039  0.0541  0.1287  0.0249  0.05
Sokolov 2002   38  0.2282  0.0045  0.0643  0.1271  0.0341  0.06
Sztompka 1959   4  0.4183  0.005  0.385  0.5627  0.355  0.44
Tomsic 1995   81  0.0184  0.0079  0.0472  0.0487  0.0272  0.03
Uninsky 1932   3  0.4285  0.003  0.363  0.6413  0.473  0.55
Uninsky 1971   20  0.2828  0.008  0.147  0.4954  0.0516  0.16
Wasowski 1980   48  0.1986  0.0057  0.0649  0.0669  0.0447  0.05
Zak 1937   57  0.1687  0.0069  0.0470  0.0473  0.0456  0.04
Zak 1951   65  0.1488  0.0070  0.0471  0.0481  0.0371  0.03
Average   14  0.3289  0.0013  0.128  0.4978  0.0323  0.12
Random 1   82  0.0129  0.0081  0.0381  0.0319  0.2835  0.09
Random 2   87  -0.0490  0.0082  0.0285  0.0253  0.0579  0.03
Random 3   78  0.0391  0.0080  0.0380  0.0342  0.1245  0.06

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).