Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.3030  0.0044  0.0644  0.1182  0.0248  0.05
Anderszewski 2003   12  0.4349  0.009  0.1315  0.4537  0.198  0.29
Ashkenazy 1981   29  0.3650  0.0035  0.0633  0.1886  0.0343  0.07
Bacha 2000   35  0.3431  0.0059  0.0555  0.0551  0.0546  0.05
Badura 1965   64  0.2551  0.0053  0.0463  0.0473  0.0459  0.04
Barbosa 1983   78  0.1814  0.0082  0.0282  0.0288  0.0284  0.02
Biret 1990   65  0.2415  0.0074  0.0464  0.0483  0.0378  0.03
Blet 2003   76  0.2152  0.0079  0.0283  0.0286  0.0285  0.02
Block 1995   20  0.3832  0.0028  0.0827  0.2659  0.0426  0.10
Blumental 1952   75  0.2153  0.0064  0.0372  0.0354  0.0476  0.03
Boshniakovich 1969   41  0.3221  0.0029  0.0729  0.2261  0.0433  0.09
Brailowsky 1960   5  0.5116  0.005  0.216  0.608  0.505  0.55
Bunin 1987   26  0.3754  0.0034  0.0731  0.2058  0.0527  0.10
Bunin 1987b   25  0.3755  0.0032  0.0630  0.2166  0.0431  0.09
Chiu 1999   62  0.2533  0.0055  0.0554  0.0575  0.0451  0.04
Cohen 1997   37  0.349  0.0031  0.0726  0.2721  0.357  0.31
Cortot 1951   52  0.2934  0.0073  0.0369  0.0374  0.0380  0.03
Csalog 1996   85  0.1056  0.0089  0.0189  0.0187  0.0290  0.01
Czerny 1949   54  0.2857  0.0040  0.0638  0.1676  0.0341  0.07
Czerny 1990   74  0.2222  0.0077  0.0380  0.0380  0.0377  0.03
Duchoud 2007   66  0.2458  0.0075  0.0465  0.0486  0.0274  0.03
Ezaki 2006   11  0.447  0.0014  0.077  0.5465  0.0416  0.15
Falvay 1989   24  0.3810  0.0023  0.1121  0.3580  0.0325  0.10
Farrell 1958   34  0.3459  0.0051  0.0459  0.0478  0.0367  0.03
Ferenczy 1958   56  0.274  0.0070  0.0378  0.0360  0.0473  0.03
Fliere 1977   28  0.3660  0.0030  0.0832  0.2086  0.0244  0.06
Fou 1978   13  0.4335  0.0016  0.0812  0.4750  0.0714  0.18
Francois 1956   38  0.3436  0.0025  0.0624  0.3372  0.0329  0.10
Friedman 1923   80  0.1661  0.0065  0.0375  0.0355  0.0662  0.04
Friedman 1923b   81  0.1662  0.0066  0.0466  0.0466  0.0560  0.04
Friedman 1930   72  0.2223  0.0041  0.0643  0.1349  0.0538  0.08
Garcia 2007   70  0.2363  0.0063  0.0367  0.0362  0.0475  0.03
Garcia 2007b   82  0.1637  0.0062  0.0456  0.0453  0.0461  0.04
Gierzod 1998   7  0.4764  0.008  0.139  0.5145  0.0813  0.20
Gornostaeva 1994   9  0.4465  0.0017  0.0714  0.4647  0.0518  0.15
Groot 1988   21  0.3838  0.0013  0.0619  0.3863  0.0423  0.12
Harasiewicz 1955   30  0.3666  0.0021  0.1117  0.4275  0.0324  0.11
Hatto 1993   63  0.2567  0.0071  0.0370  0.0361  0.0479  0.03
Hatto 1997   55  0.2868  0.0047  0.0551  0.0583  0.0358  0.04
Horowitz 1949   19  0.3869  0.0022  0.1220  0.3738  0.1212  0.21
Indjic 1988   69  0.2370  0.0076  0.0460  0.0468  0.0457  0.04
Kapell 1951   71  0.2371  0.0083  0.0371  0.0389  0.0282  0.02
Kissin 1993   40  0.3339  0.0036  0.0639  0.1573  0.0437  0.08
Kushner 1989   10  0.4472  0.0020  0.1025  0.2873  0.0330  0.09
Luisada 1991   44  0.3240  0.0060  0.0458  0.0485  0.0363  0.03
Lushtak 2004   48  0.3073  0.0039  0.0540  0.1571  0.0342  0.07
Malcuzynski 1961   8  0.4641  0.0015  0.0711  0.4959  0.0419  0.14
Magaloff 1978   6  0.5074  0.006  0.275  0.6132  0.186  0.33
Magin 1975   31  0.3575  0.0033  0.0636  0.1760  0.0435  0.08
Michalowski 1933   86  0.0876  0.0080  0.0287  0.0275  0.0471  0.03
Milkina 1970   17  0.4077  0.0012  0.0618  0.3940  0.1610  0.25
Mohovich 1999   18  0.4078  0.0010  0.0813  0.4652  0.0517  0.15
Moravec 1969   43  0.3217  0.0048  0.0552  0.0581  0.0350  0.04
Morozova 2008   23  0.385  0.0011  0.0710  0.5058  0.0420  0.14
Neighaus 1950   22  0.3842  0.0026  0.0623  0.3478  0.0328  0.10
Niedzielski 1931   61  0.2518  0.0061  0.0545  0.0565  0.0453  0.04
Ohlsson 1999   53  0.2879  0.0072  0.0376  0.0382  0.0370  0.03
Osinska 1989   60  0.2580  0.0068  0.0373  0.0380  0.0464  0.03
Pachmann 1927   67  0.2381  0.0046  0.0457  0.0471  0.0369  0.03
Paderewski 1930   59  0.2719  0.0069  0.0368  0.0365  0.0368  0.03
Perlemuter 1992   50  0.2982  0.0042  0.0634  0.1860  0.0434  0.08
Pierdomenico 2008   58  0.2783  0.0057  0.0548  0.0555  0.0452  0.04
Poblocka 1999   68  0.2384  0.0084  0.0281  0.0286  0.0381  0.02
Rabcewiczowa 1932   73  0.2220  0.0049  0.0547  0.0567  0.0454  0.04
Rachmaninoff 1923   27  0.3724  0.0019  0.0816  0.4241  0.1111  0.21
Rangell 2001   14  0.4185  0.0018  0.0722  0.3548  0.0521  0.13
Richter 1976   51  0.2986  0.0058  0.0549  0.0578  0.0356  0.04
Rosen 1989   16  0.4043  0.0027  0.0728  0.2374  0.0339  0.08
Rosenthal 1930   4  0.618  0.004  0.384  0.792  0.764  0.77
Rosenthal 1931   1  0.941  0.911  0.901  0.991  1.001  0.99
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.773  0.013  0.863  0.951  0.923  0.93
Rosenthal 1931d   2  0.932  0.082  0.942  0.991  0.992  0.99
Rossi 2007   84  0.1187  0.0067  0.0374  0.0349  0.0466  0.03
Rubinstein 1939   46  0.3144  0.0024  0.0937  0.1716  0.419  0.26
Rubinstein 1952   57  0.2788  0.0056  0.0550  0.0563  0.0549  0.05
Rubinstein 1966   33  0.3511  0.0045  0.0546  0.0550  0.0647  0.05
Schilhawsky 1960   39  0.3389  0.0050  0.0461  0.0476  0.0372  0.03
Shebanova 2002   77  0.2012  0.0078  0.0284  0.0283  0.0387  0.02
Smith 1975   15  0.4125  0.007  0.138  0.5446  0.0515  0.16
Sokolov 2002   36  0.3426  0.0052  0.0462  0.0486  0.0265  0.03
Sztompka 1959   79  0.1727  0.0081  0.0285  0.0281  0.0383  0.02
Tomsic 1995   45  0.3228  0.0043  0.0642  0.1382  0.0345  0.06
Uninsky 1932   83  0.1545  0.0085  0.0377  0.0384  0.0286  0.02
Uninsky 1971   47  0.306  0.0038  0.0541  0.1562  0.0340  0.07
Wasowski 1980   87  0.0890  0.0088  0.0188  0.0188  0.0189  0.01
Zak 1937   42  0.3213  0.0054  0.0553  0.0586  0.0355  0.04
Zak 1951   32  0.3546  0.0037  0.0635  0.1871  0.0436  0.08
Random 1   88  0.0447  0.0087  0.0286  0.029  0.4432  0.09
Random 2   89  0.0429  0.0086  0.0379  0.033  0.4522  0.12
Random 3   90  -0.0348  0.0090  0.0190  0.0167  0.0388  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).