Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6237  0.0011  0.1413  0.5239  0.1915  0.31
Anderszewski 2003   20  0.5974  0.0030  0.1035  0.2956  0.0440  0.11
Ashkenazy 1981   30  0.5629  0.0020  0.1823  0.4530  0.2614  0.34
Bacha 2000   67  0.4165  0.0070  0.0467  0.0485  0.0376  0.03
Badura 1965   26  0.579  0.0129  0.0926  0.4423  0.3811  0.41
Barbosa 1983   60  0.4483  0.0059  0.0647  0.0672  0.0450  0.05
Biret 1990   43  0.5039  0.0042  0.0743  0.1860  0.0447  0.08
Blet 2003   68  0.4177  0.0072  0.0474  0.0471  0.0383  0.03
Block 1995   63  0.4386  0.0052  0.0562  0.0545  0.0748  0.06
Blumental 1952   35  0.5248  0.0041  0.0640  0.2259  0.0445  0.09
Boshniakovich 1969   17  0.5933  0.0021  0.0919  0.4846  0.0821  0.20
Brailowsky 1960   51  0.4730  0.0064  0.0466  0.0454  0.0559  0.04
Bunin 1987   74  0.3855  0.0045  0.0945  0.0933  0.2826  0.16
Bunin 1987b   77  0.3663  0.0046  0.0746  0.0733  0.2832  0.14
Chiu 1999   25  0.5814  0.0032  0.0936  0.2845  0.0730  0.14
Cohen 1997   84  0.3066  0.0085  0.0287  0.0280  0.0390  0.02
Cortot 1951   80  0.3478  0.0086  0.0380  0.0373  0.0385  0.03
Csalog 1996   86  0.2820  0.0078  0.0384  0.0380  0.0382  0.03
Czerny 1949   14  0.6022  0.0015  0.1012  0.5343  0.1716  0.30
Czerny 1990   6  0.6316  0.0014  0.109  0.5453  0.0624  0.18
Duchoud 2007   75  0.3719  0.0069  0.0476  0.0447  0.0652  0.05
Ezaki 2006   29  0.5684  0.0034  0.0833  0.3057  0.0537  0.12
Falvay 1989   71  0.3957  0.0080  0.0382  0.0373  0.0377  0.03
Farrell 1958   48  0.4875  0.0062  0.0472  0.0469  0.0465  0.04
Ferenczy 1958   49  0.4812  0.0054  0.0470  0.0447  0.0751  0.05
Fliere 1977   10  0.6279  0.0022  0.0925  0.4456  0.0528  0.15
Fou 1978   59  0.4553  0.0063  0.0475  0.0477  0.0466  0.04
Francois 1956   55  0.4650  0.0055  0.0563  0.0550  0.0556  0.05
Friedman 1923   2  0.842  0.222  0.831  0.902  0.872  0.88
Friedman 1923b   1  0.841  0.651  0.642  0.892  0.871  0.88
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   56  0.4631  0.0068  0.0473  0.0470  0.0470  0.04
Garcia 2007b   41  0.5121  0.0040  0.0737  0.2474  0.0443  0.10
Gierzod 1998   13  0.6042  0.009  0.2111  0.5350  0.0623  0.18
Gornostaeva 1994   28  0.5667  0.0031  0.1022  0.4655  0.0433  0.14
Groot 1988   65  0.4236  0.0049  0.0556  0.0557  0.0555  0.05
Harasiewicz 1955   7  0.633  0.0113  0.1010  0.5360  0.0527  0.16
Hatto 1993   5  0.6660  0.003  0.303  0.6513  0.434  0.53
Hatto 1997   4  0.6618  0.005  0.296  0.6314  0.436  0.52
Horowitz 1949   39  0.5176  0.0035  0.0731  0.3724  0.4610  0.41
Indjic 1988   3  0.6625  0.004  0.255  0.6414  0.453  0.54
Kapell 1951   64  0.4358  0.0060  0.0649  0.0682  0.0368  0.04
Kissin 1993   44  0.5087  0.0043  0.0938  0.2260  0.0541  0.10
Kushner 1989   38  0.518  0.0151  0.0653  0.0681  0.0367  0.04
Luisada 1991   21  0.5832  0.0018  0.1021  0.4639  0.1618  0.27
Lushtak 2004   40  0.5143  0.0058  0.0651  0.0680  0.0372  0.04
Malcuzynski 1961   50  0.4859  0.0037  0.0744  0.1448  0.0546  0.08
Magaloff 1978   58  0.4668  0.0050  0.0558  0.0564  0.0462  0.04
Magin 1975   19  0.594  0.0110  0.1416  0.5137  0.2313  0.34
Michalowski 1933   45  0.5051  0.0044  0.1141  0.2226  0.2819  0.25
Milkina 1970   42  0.515  0.0138  0.0839  0.2250  0.0639  0.11
Mohovich 1999   57  0.4623  0.0061  0.0652  0.0678  0.0454  0.05
Moravec 1969   72  0.3861  0.0075  0.0561  0.0566  0.0457  0.04
Morozova 2008   34  0.5280  0.0039  0.0642  0.2054  0.0542  0.10
Neighaus 1950   12  0.6115  0.0019  0.1317  0.5122  0.379  0.43
Niedzielski 1931   15  0.606  0.018  0.1615  0.529  0.477  0.49
Ohlsson 1999   33  0.5526  0.0027  0.0832  0.3155  0.0538  0.12
Osinska 1989   24  0.5811  0.0026  0.0827  0.4270  0.0434  0.13
Pachmann 1927   66  0.4228  0.0084  0.0286  0.0274  0.0387  0.02
Paderewski 1930   69  0.4045  0.0071  0.0468  0.0477  0.0380  0.03
Perlemuter 1992   47  0.4949  0.0057  0.0557  0.0576  0.0358  0.04
Pierdomenico 2008   83  0.3044  0.0081  0.0383  0.0373  0.0478  0.03
Poblocka 1999   54  0.4669  0.0047  0.0650  0.0653  0.0549  0.05
Rabcewiczowa 1932   53  0.4727  0.0056  0.0555  0.0585  0.0364  0.04
Rachmaninoff 1923   23  0.5852  0.0025  0.0829  0.4047  0.0629  0.15
Rangell 2001   85  0.2881  0.0082  0.0479  0.0472  0.0473  0.04
Richter 1976   52  0.4734  0.0048  0.0648  0.0644  0.1444  0.09
Rosen 1989   31  0.5617  0.0024  0.1218  0.4945  0.0820  0.20
Rosenthal 1930   70  0.3970  0.0073  0.0654  0.0670  0.0371  0.04
Rosenthal 1931   79  0.3571  0.0079  0.0385  0.0367  0.0481  0.03
Rosenthal 1931b   76  0.3646  0.0077  0.0478  0.0460  0.0574  0.04
Rosenthal 1931c   78  0.3664  0.0076  0.0469  0.0467  0.0475  0.04
Rosenthal 1931d   81  0.3382  0.0083  0.0381  0.0366  0.0484  0.03
Rossi 2007   61  0.4410  0.0074  0.0565  0.0563  0.0461  0.04
Rubinstein 1939   62  0.4435  0.0065  0.0559  0.0583  0.0363  0.04
Rubinstein 1952   82  0.3262  0.0067  0.0477  0.0484  0.0386  0.03
Rubinstein 1966   37  0.5154  0.0053  0.0560  0.0577  0.0469  0.04
Schilhawsky 1960   27  0.5641  0.0028  0.0928  0.4147  0.0725  0.17
Shebanova 2002   16  0.5956  0.0012  0.128  0.5549  0.0622  0.18
Smith 1975   32  0.5513  0.0033  0.1230  0.3857  0.0531  0.14
Sokolov 2002   73  0.3888  0.0066  0.0564  0.0578  0.0360  0.04
Sztompka 1959   22  0.5840  0.0023  0.1324  0.4569  0.0435  0.13
Tomsic 1995   87  0.2572  0.0087  0.0471  0.0480  0.0379  0.03
Uninsky 1932   46  0.5089  0.0036  0.0834  0.3049  0.0636  0.13
Uninsky 1971   36  0.5273  0.0016  0.1320  0.4843  0.1617  0.28
Wasowski 1980   18  0.5938  0.0017  0.1214  0.5238  0.2212  0.34
Zak 1937   8  0.6224  0.007  0.267  0.6225  0.398  0.49
Zak 1951   9  0.627  0.016  0.314  0.6522  0.415  0.52
Random 1   90  -0.1647  0.0088  0.0288  0.0242  0.1153  0.05
Random 2   88  -0.0985  0.0090  0.0190  0.0177  0.0388  0.02
Random 3   89  -0.1290  0.0089  0.0189  0.0179  0.0389  0.02

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).