Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6237  0.0012  0.1414  0.5240  0.1915  0.31
Anderszewski 2003   21  0.5976  0.0031  0.1036  0.2957  0.0441  0.11
Ashkenazy 1981   31  0.5628  0.0021  0.1724  0.4531  0.2614  0.34
Bacha 2000   68  0.4166  0.0071  0.0468  0.0486  0.0377  0.03
Badura 1965   27  0.579  0.0130  0.0927  0.4424  0.3811  0.41
Barbosa 1983   61  0.4482  0.0060  0.0648  0.0673  0.0451  0.05
Biret 1990   44  0.5039  0.0043  0.0644  0.1861  0.0448  0.08
Blet 2003   69  0.4177  0.0073  0.0475  0.0472  0.0384  0.03
Block 1995   64  0.4387  0.0053  0.0563  0.0546  0.0749  0.06
Blumental 1952   36  0.5250  0.0042  0.0641  0.2260  0.0446  0.09
Boshniakovich 1969   18  0.5933  0.0022  0.0920  0.4847  0.0821  0.20
Brailowsky 1960   52  0.4731  0.0065  0.0467  0.0455  0.0560  0.04
Bunin 1987   75  0.3853  0.0046  0.0946  0.0934  0.2827  0.16
Bunin 1987b   78  0.3664  0.0047  0.0747  0.0734  0.2833  0.14
Chiu 1999   26  0.5814  0.0033  0.0937  0.2846  0.0731  0.14
Cohen 1997   85  0.3078  0.0086  0.0288  0.0281  0.0391  0.02
Cortot 1951   81  0.3479  0.0087  0.0381  0.0374  0.0386  0.03
Csalog 1996   87  0.2821  0.0079  0.0385  0.0381  0.0383  0.03
Czerny 1949   15  0.6029  0.0016  0.1013  0.5344  0.1716  0.30
Czerny 1990   7  0.6317  0.0015  0.1010  0.5454  0.0625  0.18
Duchoud 2007   76  0.3720  0.0070  0.0477  0.0448  0.0653  0.05
Ezaki 2006   30  0.5683  0.0035  0.0834  0.3058  0.0538  0.12
Falvay 1989   72  0.3958  0.0081  0.0383  0.0374  0.0378  0.03
Farrell 1958   49  0.4874  0.0063  0.0473  0.0470  0.0466  0.04
Ferenczy 1958   50  0.4813  0.0055  0.0471  0.0448  0.0752  0.05
Fliere 1977   11  0.6284  0.0023  0.0926  0.4457  0.0529  0.15
Fou 1978   60  0.4554  0.0064  0.0476  0.0478  0.0467  0.04
Francois 1956   56  0.4651  0.0056  0.0564  0.0551  0.0557  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   57  0.4632  0.0069  0.0474  0.0471  0.0471  0.04
Garcia 2007b   42  0.5122  0.0041  0.0738  0.2475  0.0444  0.10
Gierzod 1998   14  0.6043  0.0010  0.2012  0.5351  0.0624  0.18
Gornostaeva 1994   29  0.5667  0.0032  0.1023  0.4656  0.0434  0.14
Groot 1988   66  0.4240  0.0050  0.0557  0.0558  0.0556  0.05
Harasiewicz 1955   8  0.633  0.0114  0.1011  0.5361  0.0528  0.16
Hatto 1993   6  0.6661  0.004  0.294  0.6514  0.434  0.53
Hatto 1997   5  0.6619  0.006  0.287  0.6315  0.436  0.52
Horowitz 1949   40  0.5175  0.0036  0.0732  0.3725  0.4610  0.41
Indjic 1988   4  0.6630  0.005  0.256  0.6415  0.453  0.54
Kapell 1951   65  0.4359  0.0061  0.0650  0.0683  0.0369  0.04
Kissin 1993   45  0.5088  0.0044  0.0939  0.2261  0.0542  0.10
Kushner 1989   39  0.518  0.0152  0.0654  0.0682  0.0368  0.04
Luisada 1991   22  0.5834  0.0019  0.1022  0.4640  0.1618  0.27
Lushtak 2004   41  0.5144  0.0059  0.0652  0.0681  0.0373  0.04
Malcuzynski 1961   51  0.4860  0.0038  0.0745  0.1449  0.0547  0.08
Magaloff 1978   59  0.4668  0.0051  0.0559  0.0565  0.0463  0.04
Magin 1975   20  0.594  0.0111  0.1417  0.5138  0.2313  0.34
Michalowski 1933   46  0.5052  0.0045  0.1142  0.2227  0.2819  0.25
Milkina 1970   43  0.515  0.0139  0.0840  0.2251  0.0640  0.11
Mohovich 1999   58  0.4623  0.0062  0.0653  0.0679  0.0455  0.05
Moravec 1969   73  0.3862  0.0076  0.0562  0.0567  0.0458  0.04
Morozova 2008   35  0.5285  0.0040  0.0643  0.2055  0.0543  0.10
Neighaus 1950   13  0.6116  0.0020  0.1318  0.5123  0.379  0.43
Niedzielski 1931   16  0.606  0.019  0.1616  0.5210  0.477  0.49
Ohlsson 1999   34  0.5525  0.0028  0.0833  0.3156  0.0539  0.12
Osinska 1989   25  0.5811  0.0027  0.0828  0.4271  0.0435  0.13
Pachmann 1927   67  0.4227  0.0085  0.0287  0.0275  0.0388  0.02
Paderewski 1930   70  0.4046  0.0072  0.0469  0.0478  0.0381  0.03
Perlemuter 1992   48  0.4948  0.0058  0.0558  0.0577  0.0359  0.04
Pierdomenico 2008   84  0.3045  0.0082  0.0384  0.0374  0.0479  0.03
Poblocka 1999   55  0.4669  0.0048  0.0651  0.0654  0.0550  0.05
Rabcewiczowa 1932   54  0.4726  0.0057  0.0556  0.0586  0.0365  0.04
Rachmaninoff 1923   24  0.5855  0.0026  0.0830  0.4048  0.0630  0.15
Rangell 2001   86  0.2880  0.0083  0.0480  0.0473  0.0474  0.04
Richter 1976   53  0.4741  0.0049  0.0649  0.0645  0.1445  0.09
Rosen 1989   32  0.5618  0.0025  0.1219  0.4946  0.0820  0.20
Rosenthal 1930   71  0.3970  0.0074  0.0555  0.0571  0.0372  0.04
Rosenthal 1931   80  0.3571  0.0080  0.0386  0.0368  0.0482  0.03
Rosenthal 1931b   77  0.3649  0.0078  0.0479  0.0461  0.0575  0.04
Rosenthal 1931c   79  0.3665  0.0077  0.0470  0.0468  0.0476  0.04
Rosenthal 1931d   82  0.3381  0.0084  0.0382  0.0367  0.0485  0.03
Rossi 2007   62  0.4410  0.0075  0.0466  0.0464  0.0462  0.04
Rubinstein 1939   63  0.4435  0.0066  0.0560  0.0584  0.0364  0.04
Rubinstein 1952   83  0.3263  0.0068  0.0478  0.0485  0.0387  0.03
Rubinstein 1966   38  0.5156  0.0054  0.0561  0.0578  0.0470  0.04
Schilhawsky 1960   28  0.5642  0.0029  0.0929  0.4148  0.0726  0.17
Shebanova 2002   17  0.5957  0.0013  0.129  0.5550  0.0623  0.18
Smith 1975   33  0.5515  0.0034  0.1231  0.3858  0.0532  0.14
Sokolov 2002   74  0.3889  0.0067  0.0565  0.0579  0.0361  0.04
Sztompka 1959   23  0.5838  0.0024  0.1325  0.4570  0.0436  0.13
Tomsic 1995   88  0.2572  0.0088  0.0472  0.0481  0.0380  0.03
Uninsky 1932   47  0.5090  0.0037  0.0835  0.3050  0.0637  0.13
Uninsky 1971   37  0.5273  0.0017  0.1321  0.4844  0.1617  0.28
Wasowski 1980   19  0.5936  0.0018  0.1215  0.5239  0.2212  0.34
Zak 1937   9  0.6224  0.008  0.268  0.6226  0.398  0.49
Zak 1951   10  0.627  0.017  0.305  0.6523  0.415  0.52
Average   3  0.7212  0.003  0.353  0.7457  0.0522  0.19
Random 1   91  -0.1647  0.0089  0.0289  0.0243  0.1154  0.05
Random 2   89  -0.0986  0.0091  0.0191  0.0177  0.0389  0.02
Random 3   90  -0.1291  0.0090  0.0190  0.0180  0.0390  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).