Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.3888  0.0067  0.0468  0.0485  0.0281  0.03
Anderszewski 2003   19  0.484  0.062  0.138  0.5438  0.254  0.37
Ashkenazy 1981   52  0.3976  0.0054  0.0462  0.0484  0.0382  0.03
Bacha 2000   55  0.3937  0.0050  0.0560  0.0549  0.0549  0.05
Badura 1965   74  0.3175  0.0066  0.0559  0.0579  0.0368  0.04
Barbosa 1983   60  0.3626  0.0024  0.0531  0.3165  0.0439  0.11
Biret 1990   12  0.5023  0.0119  0.1014  0.4666  0.0430  0.14
Blet 2003   70  0.3340  0.0070  0.0471  0.0481  0.0378  0.03
Block 1995   33  0.4443  0.0012  0.0817  0.4325  0.286  0.35
Blumental 1952   65  0.3421  0.0158  0.0556  0.0555  0.0553  0.05
Boshniakovich 1969   8  0.5113  0.028  0.136  0.5456  0.0524  0.16
Brailowsky 1960   83  0.2878  0.0086  0.0385  0.0386  0.0288  0.02
Bunin 1987   64  0.3527  0.0061  0.0379  0.0356  0.0569  0.04
Bunin 1987b   71  0.3389  0.0069  0.0470  0.0463  0.0460  0.04
Chiu 1999   73  0.3261  0.0056  0.0646  0.0666  0.0450  0.05
Cohen 1997   84  0.2749  0.0071  0.0561  0.0541  0.1147  0.07
Cortot 1951   39  0.4445  0.0033  0.0736  0.2729  0.339  0.30
Csalog 1996   62  0.3685  0.0051  0.0469  0.0469  0.0463  0.04
Czerny 1949   22  0.487  0.0318  0.1218  0.4253  0.0623  0.16
Czerny 1990   16  0.4911  0.0316  0.109  0.5363  0.0525  0.16
Duchoud 2007   37  0.4422  0.0142  0.0743  0.1839  0.1620  0.17
Ezaki 2006   31  0.4510  0.0317  0.1215  0.4646  0.0718  0.18
Falvay 1989   18  0.4872  0.0036  0.0637  0.2738  0.2213  0.24
Farrell 1958   29  0.468  0.037  0.125  0.5738  0.243  0.37
Ferenczy 1958   77  0.2973  0.0081  0.0550  0.0571  0.0365  0.04
Fliere 1977   54  0.3986  0.0049  0.0551  0.0584  0.0356  0.04
Fou 1978   27  0.4652  0.0022  0.0525  0.3865  0.0434  0.12
Francois 1956   34  0.4419  0.0134  0.0634  0.2748  0.0632  0.13
Friedman 1923   85  0.2739  0.0075  0.0376  0.0382  0.0387  0.03
Friedman 1923b   86  0.2767  0.0074  0.0467  0.0480  0.0383  0.03
Friedman 1930   82  0.2834  0.0078  0.0472  0.0479  0.0464  0.04
Garcia 2007   45  0.4179  0.0053  0.0745  0.0763  0.0452  0.05
Garcia 2007b   38  0.4464  0.0046  0.0554  0.0583  0.0371  0.04
Gierzod 1998   10  0.5162  0.0030  0.0823  0.3977  0.0340  0.11
Gornostaeva 1994   7  0.5266  0.0014  0.1419  0.3934  0.1711  0.26
Groot 1988   56  0.3877  0.0040  0.0742  0.1870  0.0444  0.08
Harasiewicz 1955   15  0.492  0.073  0.153  0.5956  0.0521  0.17
Hatto 1993   81  0.2832  0.0065  0.0558  0.0583  0.0370  0.04
Hatto 1997   78  0.2982  0.0064  0.0464  0.0483  0.0380  0.03
Horowitz 1949   69  0.3365  0.0079  0.0381  0.0374  0.0476  0.03
Indjic 1988   76  0.3044  0.0063  0.0383  0.0383  0.0377  0.03
Kapell 1951   4  0.545  0.0510  0.1011  0.5055  0.0522  0.16
Kissin 1993   17  0.4933  0.0032  0.0816  0.4357  0.0526  0.15
Kushner 1989   1  0.581  0.321  0.311  0.7130  0.321  0.48
Luisada 1991   61  0.3674  0.0068  0.0474  0.0476  0.0372  0.03
Lushtak 2004   44  0.419  0.0315  0.1020  0.3934  0.2210  0.29
Malcuzynski 1961   5  0.5314  0.026  0.1412  0.4822  0.332  0.40
Magaloff 1978   50  0.4018  0.0159  0.0377  0.0376  0.0473  0.03
Magin 1975   23  0.4741  0.0025  0.0526  0.3763  0.0433  0.12
Michalowski 1933   63  0.3557  0.0072  0.0463  0.0463  0.0462  0.04
Milkina 1970   2  0.576  0.054  0.222  0.6048  0.0617  0.19
Mohovich 1999   25  0.4712  0.0235  0.0627  0.3568  0.0437  0.12
Moravec 1969   49  0.4036  0.0073  0.0648  0.0671  0.0355  0.04
Morozova 2008   41  0.4320  0.0127  0.0535  0.2770  0.0442  0.10
Neighaus 1950   20  0.4817  0.0120  0.0528  0.3575  0.0438  0.12
Niedzielski 1931   87  0.2790  0.0080  0.0466  0.0470  0.0375  0.03
Ohlsson 1999   21  0.4854  0.0029  0.0724  0.3872  0.0436  0.12
Osinska 1989   9  0.5138  0.009  0.157  0.5450  0.0716  0.19
Pachmann 1927   59  0.3760  0.0062  0.0380  0.0339  0.1845  0.07
Paderewski 1930   40  0.4329  0.0021  0.0638  0.2726  0.338  0.30
Perlemuter 1992   53  0.3968  0.0052  0.0549  0.0579  0.0357  0.04
Pierdomenico 2008   14  0.4969  0.0023  0.0530  0.3321  0.405  0.36
Poblocka 1999   28  0.4651  0.0044  0.1040  0.2059  0.0541  0.10
Rabcewiczowa 1932   35  0.4450  0.0045  0.0553  0.0568  0.0459  0.04
Rachmaninoff 1923   79  0.2980  0.0076  0.0475  0.0485  0.0374  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   58  0.3758  0.0060  0.0473  0.0459  0.0561  0.04
Rosen 1989   26  0.4747  0.0043  0.0844  0.1670  0.0543  0.09
Rosenthal 1930   68  0.3330  0.0085  0.0287  0.0287  0.0290  0.02
Rosenthal 1931   66  0.3456  0.0083  0.0286  0.0276  0.0389  0.02
Rosenthal 1931b   72  0.3283  0.0084  0.0384  0.0380  0.0385  0.03
Rosenthal 1931c   67  0.3484  0.0082  0.0378  0.0378  0.0386  0.03
Rosenthal 1931d   75  0.3087  0.0087  0.0382  0.0382  0.0384  0.03
Rossi 2007   51  0.4016  0.0137  0.0641  0.1931  0.2914  0.23
Rubinstein 1939   43  0.4242  0.0041  0.0939  0.2144  0.0928  0.14
Rubinstein 1952   42  0.4228  0.0048  0.0552  0.0559  0.0554  0.05
Rubinstein 1966   36  0.4459  0.0039  0.0633  0.2844  0.1019  0.17
Schilhawsky 1960   80  0.2953  0.0077  0.0465  0.0480  0.0379  0.03
Shebanova 2002   6  0.5215  0.0111  0.0913  0.4659  0.0527  0.15
Smith 1975   46  0.4170  0.0047  0.0555  0.0570  0.0458  0.04
Sokolov 2002   13  0.5048  0.0028  0.0629  0.3447  0.0531  0.13
Sztompka 1959   3  0.563  0.065  0.114  0.5950  0.0715  0.20
Tomsic 1995   32  0.4535  0.0038  0.0632  0.2931  0.347  0.31
Uninsky 1932   48  0.4031  0.0055  0.0557  0.0578  0.0466  0.04
Uninsky 1971   47  0.4125  0.0057  0.0647  0.0664  0.0551  0.05
Wasowski 1980   11  0.5024  0.0113  0.1010  0.5043  0.1312  0.25
Zak 1937   24  0.4746  0.0031  0.0822  0.3971  0.0435  0.12
Zak 1951   30  0.4663  0.0026  0.0621  0.3971  0.0529  0.14
Random 1   90  -0.0781  0.0089  0.0188  0.0116  0.3948  0.06
Random 2   89  -0.0155  0.0090  0.0190  0.0134  0.1667  0.04
Random 3   88  -0.0171  0.0088  0.0189  0.016  0.4646  0.07

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).