Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.2385  0.0052  0.0374  0.0386  0.0285  0.02
Anderszewski 2003   48  0.3068  0.0057  0.0463  0.0447  0.0462  0.04
Ashkenazy 1981   9  0.469  0.0117  0.1011  0.5241  0.1315  0.26
Bacha 2000   84  0.0977  0.0083  0.0286  0.0283  0.0382  0.02
Badura 1965   33  0.3625  0.0044  0.0544  0.1054  0.0551  0.07
Barbosa 1983   59  0.2560  0.0063  0.0555  0.0555  0.0556  0.05
Biret 1990   54  0.2869  0.0050  0.0467  0.0458  0.0465  0.04
Blet 2003   27  0.3829  0.0023  0.0722  0.4039  0.1616  0.25
Block 1995   60  0.2555  0.0061  0.0466  0.0483  0.0279  0.03
Blumental 1952   55  0.2720  0.0036  0.0736  0.2431  0.2121  0.22
Boshniakovich 1969   46  0.3180  0.0056  0.0464  0.0486  0.0280  0.03
Brailowsky 1960   82  0.1073  0.0082  0.0382  0.0388  0.0283  0.02
Bunin 1987   12  0.4411  0.017  0.136  0.5716  0.439  0.50
Bunin 1987b   11  0.4443  0.008  0.225  0.5716  0.437  0.50
Chiu 1999   32  0.3716  0.0045  0.0445  0.0848  0.0554  0.06
Cohen 1997   81  0.1051  0.0086  0.0283  0.0283  0.0286  0.02
Cortot 1951   40  0.3363  0.0037  0.0933  0.2840  0.1523  0.20
Csalog 1996   87  0.0344  0.0087  0.0189  0.0184  0.0290  0.01
Czerny 1949   28  0.3736  0.0032  0.0825  0.3839  0.1519  0.24
Czerny 1990   19  0.4030  0.0018  0.0919  0.4742  0.1318  0.25
Duchoud 2007   17  0.4170  0.0020  0.0717  0.4835  0.2513  0.35
Ezaki 2006   29  0.3778  0.0035  0.0930  0.3065  0.0432  0.11
Falvay 1989   79  0.1486  0.0080  0.0457  0.0478  0.0368  0.03
Farrell 1958   61  0.2587  0.0058  0.0469  0.0459  0.0458  0.04
Ferenczy 1958   80  0.1388  0.0071  0.0376  0.0373  0.0377  0.03
Fliere 1977   8  0.4618  0.0015  0.0816  0.4845  0.1020  0.22
Fou 1978   75  0.1726  0.0078  0.0556  0.0579  0.0359  0.04
Francois 1956   44  0.3252  0.0031  0.0632  0.2864  0.0340  0.09
Friedman 1923   1  0.681  0.421  0.421  0.782  0.832  0.80
Friedman 1923b   2  0.682  0.252  0.652  0.782  0.821  0.80
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   64  0.2457  0.0067  0.0647  0.0640  0.1339  0.09
Garcia 2007b   56  0.2774  0.0066  0.0459  0.0428  0.2638  0.10
Gierzod 1998   31  0.3753  0.0028  0.0726  0.3752  0.0528  0.14
Gornostaeva 1994   34  0.366  0.0314  0.0831  0.2952  0.0436  0.11
Groot 1988   49  0.3054  0.0029  0.0738  0.2065  0.0345  0.08
Harasiewicz 1955   22  0.4014  0.0140  0.1037  0.2173  0.0347  0.08
Hatto 1993   37  0.3310  0.0148  0.0458  0.0440  0.1546  0.08
Hatto 1997   45  0.3147  0.0047  0.0551  0.0545  0.0949  0.07
Horowitz 1949   39  0.3319  0.0051  0.0371  0.0354  0.0560  0.04
Indjic 1988   43  0.3275  0.0049  0.0746  0.0737  0.1734  0.11
Kapell 1951   14  0.4315  0.0111  0.1313  0.5228  0.3911  0.45
Kissin 1993   76  0.1645  0.0075  0.0462  0.0481  0.0375  0.03
Kushner 1989   41  0.3281  0.0055  0.0379  0.0368  0.0470  0.03
Luisada 1991   63  0.2471  0.0068  0.0461  0.0483  0.0366  0.03
Lushtak 2004   26  0.3964  0.0024  0.0723  0.4062  0.0430  0.13
Malcuzynski 1961   20  0.4049  0.0022  0.0820  0.4566  0.0429  0.13
Magaloff 1978   25  0.393  0.069  0.1418  0.4740  0.1514  0.27
Magin 1975   53  0.2821  0.0065  0.0553  0.0566  0.0357  0.04
Michalowski 1933   4  0.4917  0.0013  0.1010  0.5217  0.4210  0.47
Milkina 1970   88  0.0089  0.0088  0.0188  0.0189  0.0289  0.01
Mohovich 1999   67  0.2390  0.0062  0.0552  0.0581  0.0363  0.04
Moravec 1969   65  0.2450  0.0042  0.0542  0.1254  0.0541  0.08
Morozova 2008   24  0.3933  0.0034  0.0628  0.3260  0.0435  0.11
Neighaus 1950   10  0.4541  0.0019  0.0714  0.5061  0.0525  0.16
Niedzielski 1931   71  0.2148  0.0041  0.0541  0.1348  0.0543  0.08
Ohlsson 1999   21  0.4031  0.0016  0.0927  0.3261  0.0433  0.11
Osinska 1989   52  0.2946  0.0060  0.0468  0.0483  0.0367  0.03
Pachmann 1927   78  0.1622  0.0079  0.0548  0.0568  0.0461  0.04
Paderewski 1930   15  0.427  0.0210  0.119  0.5411  0.505  0.52
Perlemuter 1992   51  0.2979  0.0043  0.0443  0.1065  0.0452  0.06
Pierdomenico 2008   38  0.3340  0.0059  0.0370  0.0359  0.0469  0.03
Poblocka 1999   42  0.3261  0.0039  0.0934  0.2770  0.0437  0.10
Rabcewiczowa 1932   35  0.3537  0.0046  0.0554  0.0551  0.0555  0.05
Rachmaninoff 1923   7  0.4613  0.015  0.184  0.628  0.523  0.57
Rangell 2001   69  0.2282  0.0076  0.0460  0.0465  0.0464  0.04
Richter 1976   57  0.2612  0.0153  0.0378  0.0368  0.0374  0.03
Rosen 1989   18  0.4165  0.0025  0.0824  0.3940  0.1617  0.25
Rosenthal 1930   16  0.4235  0.0021  0.0912  0.5216  0.526  0.52
Rosenthal 1931   73  0.1858  0.0070  0.0465  0.0470  0.0376  0.03
Rosenthal 1931b   70  0.2272  0.0064  0.0550  0.0544  0.1348  0.08
Rosenthal 1931c   36  0.3534  0.0038  0.0839  0.2036  0.2222  0.21
Rosenthal 1931d   77  0.1666  0.0069  0.0380  0.0366  0.0481  0.03
Rossi 2007   72  0.2083  0.0077  0.0549  0.0544  0.0853  0.06
Rubinstein 1939   90  -0.0567  0.0091  0.0191  0.0187  0.0288  0.01
Rubinstein 1952   89  -0.0138  0.0089  0.0287  0.0287  0.0287  0.02
Rubinstein 1966   83  0.0927  0.0081  0.0381  0.0387  0.0284  0.02
Schilhawsky 1960   6  0.4732  0.0012  0.1015  0.4917  0.4112  0.45
Shebanova 2002   58  0.2624  0.0054  0.0375  0.0373  0.0478  0.03
Smith 1975   23  0.4023  0.0027  0.0921  0.4348  0.0526  0.15
Sokolov 2002   30  0.3776  0.0033  0.0635  0.2757  0.0531  0.12
Sztompka 1959   3  0.4928  0.004  0.158  0.5616  0.448  0.50
Tomsic 1995   74  0.1862  0.0072  0.0373  0.0372  0.0373  0.03
Uninsky 1932   13  0.445  0.033  0.217  0.567  0.504  0.53
Uninsky 1971   50  0.3042  0.0026  0.0729  0.3150  0.0627  0.14
Wasowski 1980   47  0.318  0.0230  0.0640  0.1768  0.0442  0.08
Zak 1937   66  0.2356  0.0074  0.0377  0.0384  0.0371  0.03
Zak 1951   62  0.2439  0.0073  0.0372  0.0384  0.0372  0.03
Average   5  0.484  0.056  0.193  0.6553  0.0524  0.18
Random 1   91  -0.0784  0.0090  0.0190  0.0182  0.0291  0.01
Random 2   86  0.0559  0.0085  0.0284  0.0229  0.2250  0.07
Random 3   85  0.0691  0.0084  0.0285  0.0220  0.3544  0.08

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).