Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4829  0.0047  0.0745  0.0778  0.0346  0.05
Anderszewski 2003   30  0.5140  0.0039  0.0736  0.1676  0.0337  0.07
Ashkenazy 1981   64  0.3754  0.0048  0.0556  0.0586  0.0276  0.03
Bacha 2000   44  0.4633  0.0022  0.0626  0.2485  0.0330  0.08
Badura 1965   83  0.1813  0.0084  0.0381  0.0385  0.0287  0.02
Barbosa 1983   87  0.1055  0.0066  0.0466  0.0484  0.0271  0.03
Biret 1990   19  0.5534  0.0021  0.0620  0.3575  0.0327  0.10
Blet 2003   55  0.4156  0.0058  0.0470  0.0469  0.0457  0.04
Block 1995   77  0.2835  0.0072  0.0558  0.0584  0.0275  0.03
Blumental 1952   29  0.5157  0.0012  0.1511  0.4945  0.0812  0.20
Boshniakovich 1969   61  0.3858  0.0078  0.0380  0.0387  0.0289  0.02
Brailowsky 1960   23  0.5336  0.0023  0.0616  0.3855  0.0418  0.12
Bunin 1987   85  0.1566  0.0087  0.0475  0.0485  0.0277  0.03
Bunin 1987b   86  0.1437  0.0086  0.0384  0.0384  0.0285  0.02
Chiu 1999   80  0.2541  0.0063  0.0561  0.0582  0.0349  0.04
Cohen 1997   81  0.2467  0.0027  0.0733  0.1733  0.2413  0.20
Cortot 1951   43  0.4668  0.0061  0.0559  0.0584  0.0365  0.04
Csalog 1996   33  0.5069  0.0034  0.0534  0.1743  0.0921  0.12
Czerny 1949   47  0.4570  0.0056  0.0469  0.0466  0.0460  0.04
Czerny 1990   11  0.6119  0.0010  0.1310  0.5260  0.0417  0.14
Duchoud 2007   68  0.3459  0.0043  0.0543  0.0978  0.0347  0.05
Ezaki 2006   36  0.4971  0.0019  0.0718  0.3771  0.0322  0.11
Falvay 1989   21  0.5442  0.0015  0.1614  0.4021  0.446  0.42
Farrell 1958   51  0.4372  0.0029  0.0822  0.3379  0.0424  0.11
Ferenczy 1958   67  0.3543  0.0073  0.0648  0.0675  0.0359  0.04
Fliere 1977   25  0.5324  0.0017  0.0735  0.1764  0.0431  0.08
Fou 1978   49  0.4420  0.0032  0.0632  0.1854  0.0433  0.08
Francois 1956   34  0.5073  0.0040  0.0539  0.1370  0.0439  0.07
Friedman 1923   73  0.317  0.0076  0.0382  0.0374  0.0484  0.03
Friedman 1923b   74  0.3021  0.0075  0.0377  0.0375  0.0478  0.03
Friedman 1930   65  0.3674  0.0074  0.0287  0.0271  0.0472  0.03
Garcia 2007   37  0.4922  0.0046  0.0551  0.0575  0.0363  0.04
Garcia 2007b   42  0.4644  0.0053  0.0555  0.0579  0.0466  0.04
Gierzod 1998   20  0.5475  0.0045  0.0552  0.0569  0.0462  0.04
Gornostaeva 1994   5  0.6716  0.007  0.1812  0.4820  0.268  0.35
Groot 1988   69  0.3430  0.0062  0.0468  0.0481  0.0380  0.03
Harasiewicz 1955   66  0.3545  0.0055  0.0465  0.0481  0.0383  0.03
Hatto 1993   82  0.2314  0.0080  0.0376  0.0378  0.0482  0.03
Hatto 1997   79  0.2576  0.0079  0.0385  0.0376  0.0473  0.03
Horowitz 1949   75  0.3025  0.0082  0.0472  0.0482  0.0369  0.03
Indjic 1988   78  0.256  0.0081  0.0553  0.0576  0.0456  0.04
Kapell 1951   13  0.5831  0.0036  0.0628  0.2169  0.0428  0.09
Kissin 1993   22  0.5377  0.0026  0.0725  0.2570  0.0329  0.09
Kushner 1989   16  0.5760  0.0038  0.0531  0.1980  0.0334  0.08
Luisada 1991   54  0.4238  0.0042  0.0641  0.1281  0.0340  0.06
Lushtak 2004   72  0.3178  0.0059  0.0471  0.0463  0.0464  0.04
Malcuzynski 1961   18  0.568  0.0016  0.0727  0.2473  0.0335  0.08
Magaloff 1978   10  0.6132  0.0014  0.1413  0.4828  0.249  0.34
Magin 1975   15  0.5723  0.0018  0.0617  0.3864  0.0420  0.12
Michalowski 1933   32  0.5012  0.0050  0.0560  0.0573  0.0455  0.04
Milkina 1970   7  0.6779  0.0011  0.169  0.5355  0.0416  0.15
Mohovich 1999   28  0.5280  0.0033  0.0538  0.1476  0.0438  0.07
Moravec 1969   6  0.6761  0.005  0.365  0.598  0.555  0.57
Morozova 2008   59  0.3862  0.0060  0.0650  0.0681  0.0358  0.04
Neighaus 1950   62  0.3781  0.0077  0.0383  0.0383  0.0381  0.03
Niedzielski 1931   24  0.535  0.0024  0.0619  0.3766  0.0419  0.12
Ohlsson 1999   53  0.4246  0.0052  0.0463  0.0466  0.0454  0.04
Osinska 1989   17  0.5747  0.0031  0.0524  0.2573  0.0426  0.10
Pachmann 1927   45  0.4648  0.0068  0.0746  0.0772  0.0342  0.05
Paderewski 1930   35  0.4949  0.0054  0.0649  0.0675  0.0353  0.04
Perlemuter 1992   52  0.4282  0.0035  0.0537  0.1687  0.0241  0.06
Pierdomenico 2008   71  0.3263  0.0071  0.0467  0.0476  0.0450  0.04
Poblocka 1999   41  0.4783  0.0057  0.0557  0.0574  0.0448  0.04
Rabcewiczowa 1932   9  0.6317  0.006  0.226  0.5722  0.287  0.40
Rachmaninoff 1923   12  0.5915  0.009  0.177  0.5754  0.0415  0.15
Rangell 2001   46  0.4564  0.0049  0.0462  0.0482  0.0379  0.03
Richter 1976   84  0.1750  0.0085  0.0386  0.0381  0.0286  0.02
Rosen 1989   14  0.5818  0.0020  0.0623  0.2963  0.0425  0.11
Rosenthal 1930   4  0.844  0.014  0.574  0.854  0.814  0.83
Rosenthal 1931   2  0.972  0.082  0.872  0.972  0.972  0.97
Rosenthal 1931b   1  0.981  0.851  0.841  0.981  0.981  0.98
Rosenthal 1931c   3  0.943  0.053  0.873  0.952  0.943  0.94
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   48  0.4484  0.0028  0.0730  0.2031  0.1914  0.19
Rubinstein 1939   39  0.4826  0.0025  0.0721  0.3365  0.0423  0.11
Rubinstein 1952   38  0.4885  0.0013  0.1515  0.3938  0.2810  0.33
Rubinstein 1966   50  0.4327  0.0041  0.0540  0.1356  0.0536  0.08
Schilhawsky 1960   58  0.399  0.0030  0.0542  0.1080  0.0344  0.05
Shebanova 2002   31  0.5086  0.0051  0.0464  0.0482  0.0374  0.03
Smith 1975   8  0.6387  0.008  0.188  0.5644  0.0711  0.20
Sokolov 2002   27  0.5210  0.0037  0.0629  0.2158  0.0332  0.08
Sztompka 1959   26  0.5251  0.0044  0.0544  0.0979  0.0343  0.05
Tomsic 1995   63  0.3788  0.0067  0.0554  0.0567  0.0452  0.04
Uninsky 1932   57  0.3952  0.0069  0.0747  0.0770  0.0445  0.05
Uninsky 1971   76  0.2889  0.0083  0.0379  0.0385  0.0370  0.03
Wasowski 1980   70  0.3428  0.0070  0.0474  0.0482  0.0367  0.03
Zak 1937   56  0.4011  0.0064  0.0473  0.0468  0.0451  0.04
Zak 1951   60  0.3853  0.0065  0.0378  0.0368  0.0468  0.03
Random 1   90  -0.2439  0.0089  0.0189  0.0159  0.0388  0.02
Random 2   88  -0.1290  0.0088  0.0288  0.0243  0.0861  0.04
Random 3   89  -0.2265  0.0090  0.0190  0.0154  0.0490  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).