Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4915  0.0140  0.0833  0.2246  0.0538  0.10
Anderszewski 2003   44  0.4869  0.0036  0.0637  0.1866  0.0348  0.07
Ashkenazy 1981   34  0.5074  0.0032  0.0725  0.2980  0.0340  0.09
Bacha 2000   25  0.5456  0.0031  0.0726  0.2832  0.1916  0.23
Badura 1965   65  0.3861  0.0039  0.0640  0.1674  0.0446  0.08
Barbosa 1983   78  0.277  0.0411  0.1129  0.2672  0.0437  0.10
Biret 1990   10  0.6055  0.0029  0.0812  0.4348  0.0623  0.16
Blet 2003   57  0.439  0.0321  0.0732  0.2286  0.0345  0.08
Block 1995   17  0.572  0.142  0.216  0.465  0.452  0.45
Blumental 1952   83  0.2571  0.0073  0.0374  0.0359  0.0481  0.03
Boshniakovich 1969   11  0.596  0.046  0.088  0.4525  0.287  0.35
Brailowsky 1960   28  0.5483  0.0028  0.0730  0.2630  0.2812  0.27
Bunin 1987   70  0.3648  0.0082  0.0287  0.0262  0.0482  0.03
Bunin 1987b   71  0.3680  0.0081  0.0386  0.0360  0.0472  0.03
Chiu 1999   67  0.3721  0.0122  0.0717  0.3840  0.1615  0.25
Cohen 1997   81  0.2535  0.0063  0.0372  0.0341  0.0854  0.05
Cortot 1951   54  0.4446  0.0075  0.0375  0.0363  0.0566  0.04
Csalog 1996   37  0.5085  0.0047  0.0548  0.0540  0.1444  0.08
Czerny 1949   74  0.3573  0.0074  0.0369  0.0379  0.0378  0.03
Czerny 1990   41  0.4938  0.0053  0.0455  0.0482  0.0384  0.03
Duchoud 2007   14  0.583  0.104  0.109  0.4442  0.1218  0.23
Ezaki 2006   26  0.545  0.0510  0.0910  0.4472  0.0331  0.11
Falvay 1989   33  0.5227  0.0033  0.0638  0.1739  0.1821  0.17
Farrell 1958   45  0.4850  0.0044  0.0444  0.0936  0.1332  0.11
Ferenczy 1958   68  0.3667  0.0085  0.0456  0.0467  0.0463  0.04
Fliere 1977   12  0.598  0.0413  0.107  0.4665  0.0425  0.14
Fou 1978   30  0.5411  0.035  0.094  0.5033  0.1910  0.31
Francois 1956   49  0.4775  0.0057  0.0363  0.0368  0.0386  0.03
Friedman 1923   86  0.1460  0.0087  0.0379  0.0380  0.0388  0.03
Friedman 1923b   87  0.1449  0.0086  0.0382  0.0380  0.0383  0.03
Friedman 1930   85  0.2347  0.0084  0.0364  0.0376  0.0477  0.03
Garcia 2007   61  0.3988  0.0068  0.0378  0.0378  0.0379  0.03
Garcia 2007b   76  0.3368  0.0076  0.0383  0.0369  0.0487  0.03
Gierzod 1998   31  0.5364  0.0048  0.0551  0.0557  0.0465  0.04
Gornostaeva 1994   5  0.6463  0.0015  0.0818  0.3727  0.298  0.33
Groot 1988   16  0.5813  0.0212  0.0816  0.3934  0.269  0.32
Harasiewicz 1955   58  0.4219  0.0116  0.1021  0.3459  0.0430  0.12
Hatto 1993   84  0.2445  0.0055  0.0454  0.0478  0.0385  0.03
Hatto 1997   79  0.2631  0.0043  0.0543  0.1066  0.0449  0.06
Horowitz 1949   43  0.4830  0.0051  0.0550  0.0563  0.0458  0.04
Indjic 1988   82  0.2576  0.0054  0.0457  0.0471  0.0462  0.04
Kapell 1951   20  0.5612  0.0249  0.0549  0.0568  0.0457  0.04
Kissin 1993   23  0.5640  0.0024  0.0623  0.3356  0.0527  0.13
Kushner 1989   7  0.634  0.063  0.102  0.5332  0.245  0.36
Luisada 1991   51  0.4653  0.0041  0.0541  0.1365  0.0447  0.07
Lushtak 2004   69  0.3625  0.0142  0.0542  0.1082  0.0352  0.05
Malcuzynski 1961   3  0.6524  0.0117  0.1224  0.3319  0.2911  0.31
Magaloff 1978   13  0.5836  0.0027  0.0528  0.2734  0.1819  0.22
Magin 1975   22  0.5652  0.0023  0.0720  0.3445  0.0626  0.14
Michalowski 1933   64  0.3834  0.0070  0.0373  0.0369  0.0473  0.03
Milkina 1970   1  0.701  0.191  0.191  0.5516  0.391  0.46
Mohovich 1999   4  0.6418  0.019  0.073  0.5155  0.0522  0.16
Moravec 1969   55  0.4451  0.0072  0.0385  0.0355  0.0467  0.03
Morozova 2008   72  0.3629  0.0061  0.0380  0.0378  0.0376  0.03
Neighaus 1950   15  0.5814  0.0230  0.1022  0.3465  0.0429  0.12
Niedzielski 1931   62  0.3932  0.0078  0.0371  0.0375  0.0371  0.03
Ohlsson 1999   9  0.6037  0.0014  0.0911  0.4447  0.0524  0.15
Osinska 1989   21  0.5616  0.0120  0.0714  0.3936  0.1714  0.26
Pachmann 1927   56  0.4359  0.0059  0.0370  0.0346  0.0660  0.04
Paderewski 1930   18  0.5710  0.0318  0.0831  0.2626  0.2117  0.23
Perlemuter 1992   63  0.3965  0.0065  0.0453  0.0486  0.0268  0.03
Pierdomenico 2008   6  0.6342  0.007  0.0815  0.397  0.473  0.43
Poblocka 1999   24  0.5639  0.0035  0.0639  0.1762  0.0442  0.08
Rabcewiczowa 1932   52  0.4558  0.0071  0.0368  0.0385  0.0289  0.02
Rachmaninoff 1923   73  0.3689  0.0064  0.0377  0.0385  0.0370  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   60  0.4070  0.0066  0.0461  0.0461  0.0459  0.04
Rosen 1989   2  0.6517  0.018  0.075  0.4924  0.294  0.38
Rosenthal 1930   53  0.4557  0.0077  0.0381  0.0359  0.0480  0.03
Rosenthal 1931   38  0.5082  0.0060  0.0459  0.0434  0.1843  0.08
Rosenthal 1931b   36  0.5066  0.0052  0.0452  0.0432  0.2041  0.09
Rosenthal 1931c   35  0.5090  0.0069  0.0384  0.0344  0.0755  0.05
Rosenthal 1931d   29  0.5462  0.0050  0.0545  0.0527  0.2433  0.11
Rossi 2007   80  0.2581  0.0067  0.0462  0.0448  0.0651  0.05
Rubinstein 1939   77  0.3043  0.0062  0.0376  0.0346  0.0656  0.04
Rubinstein 1952   46  0.4823  0.0146  0.0546  0.0537  0.2434  0.11
Rubinstein 1966   47  0.4826  0.0138  0.0735  0.1940  0.1720  0.18
Schilhawsky 1960   75  0.3584  0.0083  0.0458  0.0481  0.0375  0.03
Shebanova 2002   8  0.6022  0.0119  0.0813  0.4235  0.1813  0.27
Smith 1975   27  0.5472  0.0026  0.0727  0.2846  0.0528  0.12
Sokolov 2002   32  0.5341  0.0058  0.0365  0.0380  0.0369  0.03
Sztompka 1959   40  0.4933  0.0056  0.0460  0.0468  0.0461  0.04
Tomsic 1995   19  0.5778  0.0025  0.0619  0.3522  0.366  0.35
Uninsky 1932   66  0.3777  0.0080  0.0366  0.0362  0.0564  0.04
Uninsky 1971   59  0.4244  0.0079  0.0367  0.0375  0.0474  0.03
Wasowski 1980   48  0.4720  0.0145  0.0547  0.0560  0.0550  0.05
Zak 1937   42  0.4986  0.0037  0.0536  0.1960  0.0535  0.10
Zak 1951   50  0.4628  0.0034  0.0634  0.2166  0.0536  0.10
Random 1   90  -0.1187  0.0090  0.0190  0.0133  0.2553  0.05
Random 2   89  -0.0654  0.0089  0.0189  0.0151  0.0490  0.02
Random 3   88  0.1079  0.0088  0.0288  0.024  0.5239  0.10

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).