Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.3845  0.007  0.377  0.805  0.658  0.72
Anderszewski 2003   15  0.3146  0.0013  0.1312  0.6711  0.5811  0.62
Ashkenazy 1981   37  0.1847  0.0038  0.1437  0.3446  0.0831  0.16
Bacha 2000   14  0.3121  0.0020  0.1214  0.6621  0.4516  0.54
Badura 1965   23  0.2632  0.0015  0.1419  0.6013  0.5315  0.56
Barbosa 1983   46  0.1533  0.0061  0.0462  0.0478  0.0369  0.03
Biret 1990   86  -0.0234  0.0087  0.0287  0.0287  0.0289  0.02
Blet 2003   79  0.0448  0.0077  0.0278  0.0288  0.0190  0.01
Block 1995   53  0.1116  0.0052  0.0467  0.0482  0.0373  0.03
Blumental 1952   25  0.2549  0.0022  0.1223  0.5235  0.2524  0.36
Boshniakovich 1969   52  0.1235  0.0047  0.1045  0.1075  0.0352  0.05
Brailowsky 1960   11  0.3415  0.0012  0.1411  0.7111  0.609  0.65
Bunin 1987   64  0.0850  0.0078  0.0280  0.0278  0.0387  0.02
Bunin 1987b   60  0.0951  0.0073  0.0375  0.0381  0.0364  0.03
Chiu 1999   42  0.1652  0.0051  0.0552  0.0581  0.0354  0.04
Cohen 1997   13  0.315  0.009  0.2110  0.7112  0.5810  0.64
Cortot 1951   12  0.3353  0.0023  0.1220  0.5924  0.4817  0.53
Csalog 1996   87  -0.0354  0.0086  0.0286  0.0282  0.0285  0.02
Czerny 1949   30  0.2236  0.0024  0.1326  0.5025  0.6214  0.56
Czerny 1990   83  0.0222  0.0083  0.0284  0.0274  0.0388  0.02
Duchoud 2007   77  0.0455  0.0068  0.0468  0.0484  0.0272  0.03
Ezaki 2006   6  0.427  0.006  0.396  0.818  0.677  0.74
Falvay 1989   31  0.2212  0.0035  0.1134  0.4167  0.0338  0.11
Farrell 1958   45  0.1556  0.0049  0.0650  0.0673  0.0355  0.04
Ferenczy 1958   7  0.404  0.008  0.228  0.804  0.855  0.82
Fliere 1977   62  0.0923  0.0055  0.0556  0.0586  0.0353  0.04
Fou 1978   27  0.2413  0.0029  0.1125  0.5058  0.0528  0.16
Francois 1956   33  0.208  0.0017  0.1324  0.5028  0.4218  0.46
Friedman 1923   49  0.1357  0.0056  0.0458  0.0466  0.0561  0.04
Friedman 1923b   57  0.1158  0.0063  0.0465  0.0475  0.0458  0.04
Friedman 1930   66  0.0859  0.0050  0.0651  0.0669  0.0451  0.05
Garcia 2007   40  0.1760  0.0046  0.0847  0.0863  0.0547  0.06
Garcia 2007b   82  0.0361  0.0066  0.0463  0.0468  0.0460  0.04
Gierzod 1998   5  0.4562  0.005  0.305  0.843  0.806  0.82
Gornostaeva 1994   39  0.1763  0.0044  0.0840  0.1552  0.0642  0.09
Groot 1988   61  0.0964  0.0042  0.0644  0.1282  0.0348  0.06
Harasiewicz 1955   47  0.1465  0.0053  0.0461  0.0485  0.0374  0.03
Hatto 1993   55  0.1166  0.0064  0.0459  0.0481  0.0459  0.04
Hatto 1997   38  0.1767  0.0041  0.0642  0.1577  0.0346  0.07
Horowitz 1949   81  0.0368  0.0080  0.0376  0.0380  0.0365  0.03
Indjic 1988   70  0.0769  0.0079  0.0281  0.0280  0.0384  0.02
Kapell 1951   84  0.0017  0.0085  0.0285  0.0285  0.0281  0.02
Kissin 1993   69  0.0737  0.0076  0.0374  0.0380  0.0468  0.03
Kushner 1989   28  0.2324  0.0032  0.1033  0.4258  0.0533  0.14
Luisada 1991   68  0.0738  0.0081  0.0370  0.0384  0.0276  0.02
Lushtak 2004   16  0.3170  0.0021  0.1416  0.6322  0.3119  0.44
Malcuzynski 1961   26  0.2539  0.0031  0.1628  0.4846  0.0727  0.18
Magaloff 1978   48  0.1471  0.0045  0.0748  0.0773  0.0450  0.05
Magin 1975   89  -0.0572  0.0088  0.0289  0.0284  0.0280  0.02
Michalowski 1933   80  0.0373  0.0075  0.0377  0.0379  0.0467  0.03
Milkina 1970   32  0.2074  0.0036  0.1135  0.3946  0.0826  0.18
Mohovich 1999   19  0.2975  0.0016  0.1315  0.6639  0.2223  0.38
Moravec 1969   21  0.2825  0.0028  0.1230  0.4570  0.0434  0.13
Morozova 2008   18  0.2910  0.0025  0.1221  0.5364  0.0529  0.16
Neighaus 1950   29  0.2276  0.0034  0.0936  0.3683  0.0244  0.08
Niedzielski 1931   44  0.1677  0.0037  0.1138  0.3473  0.0436  0.12
Ohlsson 1999   58  0.1078  0.0062  0.0464  0.0487  0.0266  0.03
Osinska 1989   56  0.1179  0.0054  0.0460  0.0481  0.0362  0.03
Pachmann 1927   75  0.0580  0.0074  0.0282  0.0282  0.0383  0.02
Paderewski 1930   59  0.1026  0.0058  0.0553  0.0575  0.0456  0.04
Perlemuter 1992   54  0.116  0.0048  0.1046  0.1054  0.0545  0.07
Pierdomenico 2008   76  0.0540  0.0082  0.0283  0.0285  0.0279  0.02
Poblocka 1999   74  0.0581  0.0065  0.0466  0.0485  0.0363  0.03
Rabcewiczowa 1932   24  0.2627  0.0019  0.1317  0.6224  0.5412  0.58
Rachmaninoff 1923   35  0.2028  0.0033  0.1231  0.4476  0.0337  0.11
Rangell 2001   17  0.3029  0.0014  0.1518  0.6229  0.2921  0.42
Richter 1976   72  0.0618  0.0084  0.0279  0.0285  0.0282  0.02
Rosen 1989   20  0.2941  0.0026  0.1022  0.5249  0.0530  0.16
Rosenthal 1930   4  0.509  0.004  0.424  0.873  0.804  0.83
Rosenthal 1931   1  0.911  0.911  0.901  1.001  1.001  1.00
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.753  0.003  0.883  0.961  0.953  0.95
Rosenthal 1931d   2  0.872  0.082  0.892  0.991  0.992  0.99
Rossi 2007   85  0.0042  0.0060  0.0649  0.0669  0.0449  0.05
Rubinstein 1939   22  0.2782  0.0030  0.1229  0.4736  0.1425  0.26
Rubinstein 1952   73  0.0683  0.0067  0.0554  0.0582  0.0275  0.03
Rubinstein 1966   10  0.3511  0.0011  0.1413  0.6625  0.2720  0.42
Schilhawsky 1960   63  0.0884  0.0070  0.0469  0.0474  0.0457  0.04
Shebanova 2002   67  0.0730  0.0072  0.0373  0.0380  0.0371  0.03
Smith 1975   36  0.1843  0.0018  0.1127  0.4932  0.3522  0.41
Sokolov 2002   71  0.0619  0.0069  0.0372  0.0386  0.0178  0.02
Sztompka 1959   43  0.1685  0.0043  0.0641  0.1565  0.0541  0.09
Tomsic 1995   34  0.2031  0.0027  0.1132  0.4272  0.0435  0.13
Uninsky 1932   51  0.1386  0.0057  0.0457  0.0482  0.0370  0.03
Uninsky 1971   9  0.3544  0.0010  0.269  0.7314  0.4313  0.56
Wasowski 1980   88  -0.0487  0.0089  0.0288  0.0286  0.0277  0.02
Zak 1937   50  0.1314  0.0040  0.0643  0.1367  0.0543  0.08
Zak 1951   41  0.1688  0.0039  0.1139  0.2367  0.0439  0.10
Random 1   78  0.0489  0.0071  0.0371  0.0317  0.3540  0.10
Random 2   65  0.0820  0.0059  0.0555  0.0515  0.4332  0.15
Random 3   90  -0.1290  0.0090  0.0190  0.0167  0.0386  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).