Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5230  0.0134  0.0724  0.2947  0.0638  0.13
Anderszewski 2003   57  0.4027  0.0158  0.0463  0.0449  0.0464  0.04
Ashkenazy 1981   31  0.5069  0.0044  0.0639  0.1860  0.0453  0.08
Bacha 2000   26  0.5363  0.0046  0.0648  0.0626  0.3934  0.15
Badura 1965   50  0.4444  0.0032  0.0627  0.2719  0.3815  0.32
Barbosa 1983   65  0.397  0.0413  0.0823  0.2953  0.0542  0.12
Biret 1990   23  0.5441  0.0043  0.0540  0.1835  0.2330  0.20
Blet 2003   46  0.453  0.108  0.1220  0.3337  0.2119  0.26
Block 1995   24  0.5423  0.0126  0.0836  0.1921  0.3320  0.25
Blumental 1952   84  0.2179  0.0087  0.0284  0.0279  0.0388  0.02
Boshniakovich 1969   8  0.594  0.096  0.144  0.607  0.611  0.60
Brailowsky 1960   20  0.5542  0.0023  0.0821  0.3216  0.4314  0.37
Bunin 1987   61  0.3958  0.0075  0.0376  0.0369  0.0481  0.03
Bunin 1987b   60  0.4043  0.0074  0.0373  0.0364  0.0473  0.03
Chiu 1999   52  0.4324  0.0114  0.1012  0.4325  0.408  0.41
Cohen 1997   64  0.3933  0.0030  0.0645  0.1213  0.4126  0.22
Cortot 1951   62  0.3950  0.0070  0.0370  0.0346  0.0860  0.05
Csalog 1996   37  0.4974  0.0045  0.0743  0.1320  0.4422  0.24
Czerny 1949   76  0.3339  0.0076  0.0382  0.0364  0.0379  0.03
Czerny 1990   33  0.5066  0.0060  0.0453  0.0478  0.0383  0.03
Duchoud 2007   19  0.566  0.0515  0.1122  0.3140  0.1625  0.22
Ezaki 2006   9  0.5918  0.0112  0.098  0.5226  0.3012  0.39
Falvay 1989   39  0.4859  0.0038  0.0737  0.1942  0.0936  0.13
Farrell 1958   38  0.4926  0.0149  0.0456  0.0436  0.2050  0.09
Ferenczy 1958   72  0.3645  0.0086  0.0286  0.0276  0.0387  0.02
Fliere 1977   3  0.651  0.181  0.172  0.6317  0.522  0.57
Fou 1978   25  0.538  0.044  0.146  0.5321  0.434  0.48
Francois 1956   58  0.4082  0.0073  0.0369  0.0378  0.0384  0.03
Friedman 1923   87  0.1437  0.0083  0.0379  0.0358  0.0568  0.04
Friedman 1923b   86  0.1525  0.0182  0.0378  0.0373  0.0482  0.03
Friedman 1930   83  0.2228  0.0164  0.0465  0.0460  0.0465  0.04
Garcia 2007   75  0.3349  0.0068  0.0464  0.0427  0.3145  0.11
Garcia 2007b   85  0.1585  0.0088  0.0289  0.0267  0.0391  0.02
Gierzod 1998   36  0.4967  0.0053  0.0458  0.0462  0.0467  0.04
Gornostaeva 1994   11  0.5951  0.0019  0.0615  0.3916  0.4211  0.40
Groot 1988   29  0.5280  0.0050  0.0550  0.0549  0.0559  0.05
Harasiewicz 1955   56  0.4115  0.0120  0.0717  0.3743  0.1327  0.22
Hatto 1993   80  0.2989  0.0040  0.0641  0.1747  0.0648  0.10
Hatto 1997   78  0.3156  0.0018  0.0733  0.2166  0.0452  0.09
Horowitz 1949   44  0.4619  0.0157  0.0452  0.0442  0.0957  0.06
Indjic 1988   81  0.2886  0.0041  0.0642  0.1662  0.0551  0.09
Kapell 1951   28  0.5220  0.0154  0.0455  0.0463  0.0463  0.04
Kissin 1993   14  0.5931  0.009  0.119  0.4723  0.359  0.41
Kushner 1989   18  0.5673  0.0025  0.0834  0.2132  0.2229  0.21
Luisada 1991   35  0.4922  0.0139  0.0832  0.2440  0.1531  0.19
Lushtak 2004   47  0.4447  0.0033  0.0629  0.2663  0.0447  0.10
Malcuzynski 1961   5  0.6410  0.0310  0.1126  0.2840  0.1824  0.22
Magaloff 1978   2  0.672  0.152  0.155  0.5815  0.366  0.46
Magin 1975   48  0.4487  0.0055  0.0462  0.0442  0.1255  0.07
Michalowski 1933   82  0.2375  0.0085  0.0285  0.0282  0.0386  0.02
Milkina 1970   6  0.629  0.037  0.137  0.5211  0.445  0.48
Mohovich 1999   12  0.5934  0.0016  0.1014  0.4233  0.2416  0.32
Moravec 1969   45  0.4529  0.0166  0.0367  0.0381  0.0369  0.03
Morozova 2008   74  0.3540  0.0063  0.0459  0.0483  0.0378  0.03
Neighaus 1950   13  0.5917  0.0117  0.0711  0.4352  0.0633  0.16
Niedzielski 1931   69  0.3881  0.0079  0.0380  0.0379  0.0372  0.03
Ohlsson 1999   10  0.5913  0.0124  0.0719  0.3538  0.1523  0.23
Osinska 1989   27  0.5314  0.0129  0.0635  0.2029  0.2228  0.21
Pachmann 1927   53  0.4346  0.0035  0.0528  0.2623  0.3717  0.31
Paderewski 1930   22  0.5490  0.0028  0.0638  0.1822  0.3121  0.24
Perlemuter 1992   71  0.3654  0.0059  0.0461  0.0471  0.0462  0.04
Pierdomenico 2008   34  0.4970  0.0047  0.0646  0.0623  0.2540  0.12
Poblocka 1999   7  0.6021  0.0121  0.0718  0.3729  0.2518  0.30
Rabcewiczowa 1932   54  0.4238  0.0069  0.0368  0.0342  0.1656  0.07
Rachmaninoff 1923   77  0.3271  0.0072  0.0371  0.0373  0.0471  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   59  0.4083  0.0067  0.0372  0.0363  0.0474  0.03
Rosen 1989   4  0.6412  0.015  0.133  0.6110  0.513  0.56
Rosenthal 1930   66  0.3864  0.0078  0.0383  0.0364  0.0480  0.03
Rosenthal 1931   68  0.3872  0.0056  0.0551  0.0524  0.3437  0.13
Rosenthal 1931b   55  0.4184  0.0051  0.0549  0.0523  0.3539  0.13
Rosenthal 1931c   42  0.4760  0.0052  0.0454  0.0431  0.2649  0.10
Rosenthal 1931d   40  0.4735  0.0048  0.0647  0.0620  0.3535  0.14
Rossi 2007   88  0.1376  0.0084  0.0287  0.0279  0.0285  0.02
Rubinstein 1939   79  0.3078  0.0062  0.0366  0.0323  0.3646  0.10
Rubinstein 1952   21  0.5552  0.0027  0.0710  0.4415  0.467  0.45
Rubinstein 1966   16  0.5611  0.0211  0.0916  0.3814  0.4510  0.41
Schilhawsky 1960   73  0.3648  0.0080  0.0377  0.0368  0.0377  0.03
Shebanova 2002   15  0.5816  0.0122  0.0613  0.4228  0.3513  0.38
Smith 1975   43  0.4777  0.0042  0.0644  0.1365  0.0454  0.07
Sokolov 2002   49  0.4453  0.0081  0.0374  0.0374  0.0370  0.03
Sztompka 1959   67  0.3862  0.0077  0.0381  0.0362  0.0475  0.03
Tomsic 1995   17  0.5688  0.0031  0.0525  0.2847  0.0541  0.12
Uninsky 1932   70  0.3765  0.0071  0.0375  0.0361  0.0566  0.04
Uninsky 1971   51  0.4332  0.0065  0.0460  0.0479  0.0376  0.03
Wasowski 1980   63  0.3955  0.0061  0.0457  0.0471  0.0461  0.04
Zak 1937   32  0.5036  0.0037  0.0830  0.2557  0.0543  0.11
Zak 1951   41  0.4757  0.0036  0.0531  0.2557  0.0544  0.11
Average   1  0.695  0.083  0.161  0.6768  0.0432  0.16
Random 1   91  -0.0561  0.0091  0.0191  0.0171  0.0389  0.02
Random 2   90  0.0068  0.0089  0.0288  0.0237  0.1458  0.05
Random 3   89  0.0191  0.0090  0.0190  0.0161  0.0390  0.02

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).