Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.2675  0.0037  0.0540  0.1263  0.0443  0.07
Anderszewski 2003   29  0.4077  0.0040  0.0539  0.1360  0.0442  0.07
Ashkenazy 1981   16  0.4517  0.0130  0.0626  0.3357  0.0433  0.11
Bacha 2000   86  0.0078  0.0086  0.0286  0.0282  0.0283  0.02
Badura 1965   31  0.3927  0.0045  0.0444  0.0858  0.0450  0.06
Barbosa 1983   57  0.2423  0.0060  0.0469  0.0464  0.0462  0.04
Biret 1990   44  0.3179  0.0048  0.0548  0.0574  0.0365  0.04
Blet 2003   39  0.3353  0.0029  0.0628  0.3041  0.1220  0.19
Block 1995   74  0.1354  0.0061  0.0472  0.0476  0.0380  0.03
Blumental 1952   52  0.2750  0.0021  0.0736  0.1721  0.2419  0.20
Boshniakovich 1969   61  0.2343  0.0069  0.0465  0.0480  0.0381  0.03
Brailowsky 1960   83  0.0547  0.0084  0.0285  0.0283  0.0384  0.02
Bunin 1987   10  0.4832  0.0012  0.0910  0.4328  0.3012  0.36
Bunin 1987b   11  0.4856  0.0013  0.1011  0.4328  0.3011  0.36
Chiu 1999   63  0.2224  0.0070  0.0382  0.0385  0.0368  0.03
Cohen 1997   84  0.0361  0.0085  0.0287  0.0273  0.0388  0.02
Cortot 1951   28  0.4148  0.0019  0.0814  0.4028  0.2913  0.34
Csalog 1996   88  -0.1058  0.0088  0.0189  0.0188  0.0291  0.01
Czerny 1949   5  0.5236  0.005  0.134  0.4919  0.396  0.44
Czerny 1990   22  0.4365  0.0017  0.1020  0.3753  0.0526  0.14
Duchoud 2007   20  0.4469  0.0022  0.0721  0.3740  0.1817  0.26
Ezaki 2006   15  0.4686  0.0026  0.0824  0.3548  0.0623  0.14
Falvay 1989   75  0.1380  0.0079  0.0378  0.0377  0.0369  0.03
Farrell 1958   48  0.2881  0.0051  0.0550  0.0561  0.0457  0.04
Ferenczy 1958   49  0.2870  0.0050  0.0556  0.0539  0.1737  0.09
Fliere 1977   35  0.387  0.0336  0.0635  0.1877  0.0341  0.07
Fou 1978   79  0.1121  0.0078  0.0381  0.0375  0.0373  0.03
Francois 1956   33  0.3863  0.0025  0.0630  0.3075  0.0338  0.09
Friedman 1923   1  0.641  0.381  0.371  0.692  0.761  0.72
Friedman 1923b   2  0.632  0.152  0.502  0.672  0.752  0.71
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   72  0.1657  0.0056  0.0551  0.0579  0.0364  0.04
Garcia 2007b   46  0.2941  0.0049  0.0471  0.0418  0.2436  0.10
Gierzod 1998   14  0.4612  0.0110  0.0915  0.4030  0.1915  0.28
Gornostaeva 1994   26  0.415  0.0515  0.0817  0.3952  0.0432  0.12
Groot 1988   60  0.2387  0.0034  0.0837  0.1778  0.0345  0.07
Harasiewicz 1955   27  0.4119  0.0039  0.0534  0.1886  0.0346  0.07
Hatto 1993   47  0.298  0.0242  0.0445  0.0840  0.0940  0.08
Hatto 1997   40  0.3368  0.0046  0.0563  0.0537  0.1239  0.08
Horowitz 1949   58  0.2437  0.0072  0.0549  0.0583  0.0360  0.04
Indjic 1988   51  0.2746  0.0055  0.0647  0.0645  0.0748  0.06
Kapell 1951   17  0.4413  0.0120  0.0713  0.4134  0.2714  0.33
Kissin 1993   78  0.1166  0.0080  0.0558  0.0580  0.0278  0.03
Kushner 1989   42  0.3273  0.0054  0.0646  0.0681  0.0358  0.04
Luisada 1991   65  0.2288  0.0068  0.0557  0.0586  0.0267  0.03
Lushtak 2004   24  0.4239  0.0027  0.0923  0.3563  0.0431  0.12
Malcuzynski 1961   30  0.3955  0.0033  0.1025  0.3474  0.0334  0.10
Magaloff 1978   37  0.354  0.0614  0.0831  0.2945  0.0921  0.16
Magin 1975   62  0.2334  0.0071  0.0477  0.0484  0.0272  0.03
Michalowski 1933   3  0.5916  0.019  0.099  0.4421  0.417  0.42
Milkina 1970   87  -0.0189  0.0087  0.0284  0.0287  0.0285  0.02
Mohovich 1999   54  0.2690  0.0038  0.0638  0.1455  0.0444  0.07
Moravec 1969   64  0.2238  0.0052  0.0555  0.0548  0.0453  0.04
Morozova 2008   32  0.3942  0.0041  0.0541  0.1176  0.0349  0.06
Neighaus 1950   13  0.4759  0.0024  0.0618  0.3856  0.0527  0.14
Niedzielski 1931   76  0.1344  0.0058  0.0561  0.0580  0.0271  0.03
Ohlsson 1999   36  0.3662  0.0047  0.0559  0.0567  0.0361  0.04
Osinska 1989   45  0.3122  0.0053  0.0552  0.0576  0.0355  0.04
Pachmann 1927   85  0.0128  0.0083  0.0475  0.0480  0.0377  0.03
Paderewski 1930   25  0.429  0.0116  0.0919  0.3713  0.389  0.37
Perlemuter 1992   56  0.2576  0.0044  0.0442  0.0961  0.0447  0.06
Pierdomenico 2008   41  0.3226  0.0062  0.0564  0.0585  0.0270  0.03
Poblocka 1999   43  0.3167  0.0043  0.0443  0.0972  0.0351  0.05
Rabcewiczowa 1932   6  0.5229  0.0011  0.0812  0.4118  0.408  0.40
Rachmaninoff 1923   12  0.4815  0.017  0.097  0.4622  0.2810  0.36
Rangell 2001   66  0.1982  0.0073  0.0467  0.0479  0.0282  0.03
Richter 1976   80  0.1020  0.0077  0.0379  0.0380  0.0376  0.03
Rosen 1989   34  0.3845  0.0035  0.0632  0.2453  0.0435  0.10
Rosenthal 1930   7  0.516  0.036  0.116  0.488  0.543  0.51
Rosenthal 1931   53  0.2735  0.0059  0.0468  0.0457  0.0463  0.04
Rosenthal 1931b   50  0.2731  0.0057  0.0554  0.0553  0.0552  0.05
Rosenthal 1931c   21  0.4330  0.0031  0.0627  0.3230  0.2216  0.27
Rosenthal 1931d   67  0.1983  0.0065  0.0562  0.0566  0.0366  0.04
Rossi 2007   59  0.2484  0.0064  0.0560  0.0569  0.0356  0.04
Rubinstein 1939   89  -0.1251  0.0090  0.0190  0.0186  0.0290  0.01
Rubinstein 1952   90  -0.1440  0.0089  0.0188  0.0173  0.0389  0.02
Rubinstein 1966   82  0.0633  0.0081  0.0380  0.0385  0.0286  0.02
Schilhawsky 1960   9  0.4810  0.0123  0.0722  0.3546  0.0722  0.16
Shebanova 2002   81  0.0849  0.0082  0.0383  0.0381  0.0379  0.03
Smith 1975   8  0.5014  0.018  0.118  0.4557  0.0428  0.13
Sokolov 2002   23  0.4225  0.0032  0.0729  0.3051  0.0530  0.12
Sztompka 1959   4  0.563  0.103  0.213  0.5412  0.454  0.49
Tomsic 1995   68  0.1974  0.0063  0.0553  0.0584  0.0359  0.04
Uninsky 1932   18  0.4411  0.014  0.185  0.4815  0.445  0.46
Uninsky 1971   38  0.3452  0.0028  0.0733  0.2344  0.1718  0.20
Wasowski 1980   71  0.1618  0.0166  0.0474  0.0451  0.0554  0.04
Zak 1937   73  0.1585  0.0075  0.0473  0.0485  0.0374  0.03
Zak 1951   69  0.1864  0.0074  0.0466  0.0483  0.0375  0.03
Average   19  0.4460  0.0018  0.0916  0.4063  0.0429  0.13
Random 1   91  -0.1691  0.0091  0.0191  0.0178  0.0387  0.02
Random 2   77  0.1172  0.0076  0.0476  0.046  0.4724  0.14
Random 3   70  0.1871  0.0067  0.0470  0.048  0.4625  0.14

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).