Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4916  0.0141  0.0834  0.2247  0.0539  0.10
Anderszewski 2003   45  0.4870  0.0037  0.0638  0.1867  0.0348  0.07
Ashkenazy 1981   35  0.5076  0.0033  0.0726  0.2981  0.0341  0.09
Bacha 2000   26  0.5455  0.0032  0.0727  0.2833  0.1916  0.23
Badura 1965   66  0.3862  0.0040  0.0641  0.1675  0.0349  0.07
Barbosa 1983   79  0.275  0.048  0.1130  0.2673  0.0438  0.10
Biret 1990   11  0.6054  0.0030  0.0713  0.4349  0.0623  0.16
Blet 2003   58  0.4310  0.0322  0.0733  0.2287  0.0346  0.08
Block 1995   18  0.572  0.142  0.207  0.466  0.452  0.45
Blumental 1952   84  0.2572  0.0074  0.0375  0.0360  0.0482  0.03
Boshniakovich 1969   12  0.596  0.0414  0.089  0.4526  0.287  0.35
Brailowsky 1960   29  0.5483  0.0029  0.0731  0.2631  0.2812  0.27
Bunin 1987   71  0.3648  0.0083  0.0288  0.0263  0.0483  0.03
Bunin 1987b   72  0.3681  0.0082  0.0387  0.0361  0.0473  0.03
Chiu 1999   68  0.3722  0.0123  0.0718  0.3841  0.1615  0.25
Cohen 1997   82  0.2536  0.0064  0.0373  0.0342  0.0854  0.05
Cortot 1951   55  0.4446  0.0076  0.0376  0.0364  0.0567  0.04
Csalog 1996   38  0.5086  0.0048  0.0549  0.0541  0.1445  0.08
Czerny 1949   75  0.3574  0.0075  0.0370  0.0380  0.0379  0.03
Czerny 1990   42  0.4937  0.0054  0.0456  0.0483  0.0385  0.03
Duchoud 2007   15  0.583  0.103  0.1010  0.4443  0.1218  0.23
Ezaki 2006   27  0.544  0.056  0.0811  0.4473  0.0332  0.11
Falvay 1989   34  0.5228  0.0034  0.0639  0.1740  0.1821  0.17
Farrell 1958   46  0.4850  0.0045  0.0445  0.0937  0.1333  0.11
Ferenczy 1958   69  0.3668  0.0086  0.0457  0.0468  0.0464  0.04
Fliere 1977   13  0.598  0.0410  0.108  0.4666  0.0426  0.14
Fou 1978   31  0.5411  0.034  0.095  0.5034  0.1910  0.31
Francois 1956   50  0.4775  0.0058  0.0364  0.0369  0.0387  0.03
Friedman 1923   87  0.1461  0.0088  0.0380  0.0381  0.0389  0.03
Friedman 1923b   88  0.1449  0.0087  0.0383  0.0381  0.0384  0.03
Friedman 1930   86  0.2347  0.0085  0.0365  0.0377  0.0478  0.03
Garcia 2007   62  0.3989  0.0069  0.0379  0.0379  0.0380  0.03
Garcia 2007b   77  0.3369  0.0077  0.0384  0.0370  0.0488  0.03
Gierzod 1998   32  0.5365  0.0049  0.0552  0.0558  0.0466  0.04
Gornostaeva 1994   5  0.6464  0.0016  0.0819  0.3728  0.298  0.33
Groot 1988   17  0.5814  0.029  0.0817  0.3935  0.269  0.32
Harasiewicz 1955   59  0.4220  0.0117  0.1022  0.3460  0.0431  0.12
Hatto 1993   85  0.2445  0.0056  0.0455  0.0479  0.0386  0.03
Hatto 1997   80  0.2632  0.0044  0.0544  0.1067  0.0450  0.06
Horowitz 1949   44  0.4830  0.0052  0.0551  0.0564  0.0459  0.04
Indjic 1988   83  0.2577  0.0055  0.0458  0.0472  0.0463  0.04
Kapell 1951   21  0.5612  0.0250  0.0550  0.0569  0.0458  0.04
Kissin 1993   24  0.5641  0.0025  0.0524  0.3357  0.0528  0.13
Kushner 1989   8  0.639  0.045  0.093  0.5333  0.245  0.36
Luisada 1991   52  0.4656  0.0042  0.0542  0.1366  0.0447  0.07
Lushtak 2004   70  0.3625  0.0143  0.0543  0.1083  0.0352  0.05
Malcuzynski 1961   3  0.6527  0.0118  0.1225  0.3320  0.2911  0.31
Magaloff 1978   14  0.5835  0.0028  0.0529  0.2735  0.1819  0.22
Magin 1975   23  0.5652  0.0024  0.0621  0.3446  0.0627  0.14
Michalowski 1933   65  0.3860  0.0071  0.0374  0.0370  0.0474  0.03
Milkina 1970   1  0.701  0.191  0.192  0.5517  0.391  0.46
Mohovich 1999   4  0.6419  0.017  0.094  0.5156  0.0522  0.16
Moravec 1969   56  0.4451  0.0073  0.0386  0.0356  0.0468  0.03
Morozova 2008   73  0.3631  0.0062  0.0381  0.0379  0.0377  0.03
Neighaus 1950   16  0.5815  0.0231  0.1023  0.3466  0.0430  0.12
Niedzielski 1931   63  0.3933  0.0079  0.0372  0.0376  0.0372  0.03
Ohlsson 1999   10  0.6040  0.0012  0.0812  0.4448  0.0524  0.15
Osinska 1989   22  0.5617  0.0121  0.0715  0.3937  0.1714  0.26
Pachmann 1927   57  0.4359  0.0060  0.0371  0.0347  0.0661  0.04
Paderewski 1930   19  0.5713  0.0219  0.0832  0.2627  0.2117  0.23
Perlemuter 1992   64  0.3966  0.0066  0.0454  0.0487  0.0269  0.03
Pierdomenico 2008   6  0.6344  0.0011  0.0816  0.398  0.473  0.43
Poblocka 1999   25  0.5638  0.0036  0.0640  0.1763  0.0443  0.08
Rabcewiczowa 1932   53  0.4558  0.0072  0.0369  0.0386  0.0290  0.02
Rachmaninoff 1923   74  0.3690  0.0065  0.0378  0.0386  0.0371  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   61  0.4071  0.0067  0.0462  0.0462  0.0460  0.04
Rosen 1989   2  0.6518  0.0115  0.086  0.4925  0.294  0.38
Rosenthal 1930   54  0.4557  0.0078  0.0382  0.0360  0.0481  0.03
Rosenthal 1931   39  0.5084  0.0061  0.0460  0.0435  0.1844  0.08
Rosenthal 1931b   37  0.5067  0.0053  0.0453  0.0433  0.2042  0.09
Rosenthal 1931c   36  0.5091  0.0070  0.0385  0.0345  0.0755  0.05
Rosenthal 1931d   30  0.5463  0.0051  0.0546  0.0528  0.2434  0.11
Rossi 2007   81  0.2582  0.0068  0.0363  0.0349  0.0656  0.04
Rubinstein 1939   78  0.3042  0.0063  0.0377  0.0347  0.0657  0.04
Rubinstein 1952   47  0.4824  0.0147  0.0547  0.0538  0.2435  0.11
Rubinstein 1966   48  0.4826  0.0139  0.0736  0.1941  0.1720  0.18
Schilhawsky 1960   76  0.3585  0.0084  0.0459  0.0482  0.0376  0.03
Shebanova 2002   9  0.6023  0.0120  0.0814  0.4236  0.1813  0.27
Smith 1975   28  0.5473  0.0027  0.0628  0.2847  0.0529  0.12
Sokolov 2002   33  0.5339  0.0059  0.0366  0.0381  0.0370  0.03
Sztompka 1959   41  0.4934  0.0057  0.0461  0.0469  0.0462  0.04
Tomsic 1995   20  0.5779  0.0026  0.0620  0.3523  0.366  0.35
Uninsky 1932   67  0.3778  0.0081  0.0367  0.0363  0.0565  0.04
Uninsky 1971   60  0.4243  0.0080  0.0368  0.0376  0.0475  0.03
Wasowski 1980   49  0.4721  0.0146  0.0548  0.0561  0.0551  0.05
Zak 1937   43  0.4987  0.0038  0.0537  0.1961  0.0536  0.10
Zak 1951   51  0.4629  0.0035  0.0635  0.2167  0.0537  0.10
Average   7  0.637  0.0413  0.091  0.5668  0.0425  0.15
Random 1   91  -0.1188  0.0091  0.0191  0.0132  0.2653  0.05
Random 2   90  -0.0653  0.0090  0.0190  0.0154  0.0491  0.02
Random 3   89  0.1080  0.0089  0.0289  0.024  0.5240  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).