Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.3619  0.0072  0.0368  0.0375  0.0370  0.03
Anderszewski 2003   19  0.5441  0.0010  0.1021  0.3632  0.2115  0.27
Ashkenazy 1981   46  0.4469  0.0051  0.0548  0.0565  0.0360  0.04
Bacha 2000   58  0.3758  0.0079  0.0280  0.0274  0.0376  0.02
Badura 1965   67  0.3342  0.0052  0.0549  0.0577  0.0359  0.04
Barbosa 1983   76  0.2915  0.0075  0.0277  0.0280  0.0286  0.02
Biret 1990   52  0.3938  0.0067  0.0462  0.0487  0.0274  0.03
Blet 2003   49  0.3923  0.0071  0.0373  0.0379  0.0364  0.03
Block 1995   17  0.5570  0.0025  0.0630  0.3030  0.2416  0.27
Blumental 1952   86  0.1322  0.0081  0.0284  0.0283  0.0289  0.02
Boshniakovich 1969   45  0.4471  0.0029  0.0725  0.3451  0.0529  0.13
Brailowsky 1960   9  0.6259  0.009  0.1510  0.4611  0.416  0.43
Bunin 1987   26  0.5272  0.0034  0.0527  0.3343  0.1222  0.20
Bunin 1987b   27  0.5273  0.0033  0.0526  0.3343  0.1221  0.20
Chiu 1999   74  0.3074  0.0056  0.0551  0.0582  0.0354  0.04
Cohen 1997   63  0.3511  0.0057  0.0553  0.0534  0.1939  0.10
Cortot 1951   72  0.319  0.0086  0.0278  0.0281  0.0391  0.02
Csalog 1996   84  0.2050  0.0089  0.0190  0.0167  0.0387  0.02
Czerny 1949   62  0.3539  0.0064  0.0369  0.0362  0.0468  0.03
Czerny 1990   50  0.3926  0.0069  0.0371  0.0380  0.0373  0.03
Duchoud 2007   47  0.4143  0.0068  0.0459  0.0481  0.0271  0.03
Ezaki 2006   22  0.5316  0.0038  0.0632  0.2464  0.0435  0.10
Falvay 1989   21  0.5330  0.0020  0.0728  0.3273  0.0337  0.10
Farrell 1958   37  0.4836  0.0049  0.0552  0.0553  0.0455  0.04
Ferenczy 1958   73  0.3117  0.0083  0.0283  0.0263  0.0466  0.03
Fliere 1977   11  0.6160  0.0017  0.1013  0.4252  0.0526  0.14
Fou 1978   13  0.5851  0.0015  0.1212  0.4530  0.327  0.38
Francois 1956   41  0.4737  0.0040  0.0543  0.1180  0.0348  0.06
Friedman 1923   87  0.1375  0.0060  0.0460  0.0446  0.0752  0.05
Friedman 1923b   85  0.1476  0.0061  0.0550  0.0546  0.0746  0.06
Friedman 1930   77  0.2731  0.0058  0.0457  0.0468  0.0457  0.04
Garcia 2007   69  0.3377  0.0055  0.0458  0.0464  0.0458  0.04
Garcia 2007b   82  0.2240  0.0048  0.0455  0.0420  0.2240  0.09
Gierzod 1998   32  0.4913  0.0019  0.0740  0.1258  0.0444  0.07
Gornostaeva 1994   8  0.6244  0.008  0.1111  0.4522  0.299  0.36
Groot 1988   12  0.6078  0.005  0.186  0.5226  0.2510  0.36
Harasiewicz 1955   18  0.5514  0.007  0.107  0.5024  0.298  0.38
Hatto 1993   68  0.3379  0.0059  0.0461  0.0469  0.0375  0.03
Hatto 1997   66  0.3352  0.0063  0.0364  0.0365  0.0365  0.03
Horowitz 1949   30  0.5061  0.0022  0.0620  0.3732  0.2114  0.28
Indjic 1988   71  0.3245  0.0062  0.0367  0.0356  0.0363  0.03
Kapell 1951   57  0.3780  0.0077  0.0375  0.0390  0.0282  0.02
Kissin 1993   31  0.5062  0.0021  0.0929  0.3164  0.0432  0.11
Kushner 1989   6  0.6363  0.0018  0.1019  0.3848  0.0527  0.14
Luisada 1991   38  0.4864  0.0050  0.0554  0.0564  0.0453  0.04
Lushtak 2004   61  0.3646  0.0053  0.0456  0.0481  0.0272  0.03
Malcuzynski 1961   10  0.6281  0.0016  0.1015  0.4139  0.1319  0.23
Magaloff 1978   5  0.6882  0.004  0.205  0.5825  0.335  0.44
Magin 1975   15  0.5783  0.0026  0.0817  0.3826  0.2212  0.29
Michalowski 1933   88  0.0865  0.0076  0.0276  0.0280  0.0385  0.02
Milkina 1970   16  0.5647  0.0014  0.0816  0.4033  0.2211  0.30
Mohovich 1999   25  0.525  0.0013  0.1114  0.4142  0.0923  0.19
Moravec 1969   56  0.3820  0.0078  0.0281  0.0271  0.0377  0.02
Morozova 2008   42  0.4632  0.0031  0.0824  0.3480  0.0338  0.10
Neighaus 1950   39  0.4784  0.0039  0.0735  0.1986  0.0247  0.06
Niedzielski 1931   70  0.3253  0.0073  0.0374  0.0376  0.0280  0.02
Ohlsson 1999   51  0.3966  0.0066  0.0279  0.0287  0.0284  0.02
Osinska 1989   54  0.3885  0.0070  0.0363  0.0380  0.0361  0.03
Pachmann 1927   59  0.3786  0.0032  0.0434  0.2035  0.2220  0.21
Paderewski 1930   55  0.3854  0.0065  0.0366  0.0348  0.0556  0.04
Perlemuter 1992   33  0.4948  0.0035  0.0533  0.2148  0.0536  0.10
Pierdomenico 2008   23  0.5227  0.0024  0.0518  0.3835  0.1718  0.25
Poblocka 1999   64  0.3487  0.0082  0.0288  0.0287  0.0279  0.02
Rabcewiczowa 1932   80  0.2355  0.0084  0.0287  0.0286  0.0281  0.02
Rachmaninoff 1923   34  0.4912  0.0030  0.0723  0.3463  0.0430  0.12
Rangell 2001   24  0.5249  0.0028  0.0622  0.3548  0.0628  0.14
Richter 1976   20  0.5328  0.0027  0.0631  0.2821  0.2417  0.26
Rosen 1989   36  0.4821  0.0042  0.0545  0.1073  0.0351  0.05
Rosenthal 1930   4  0.7124  0.006  0.124  0.632  0.624  0.62
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.971  0.951  0.941  0.981  0.971  0.97
Rosenthal 1931c   3  0.804  0.003  0.623  0.782  0.793  0.78
Rosenthal 1931d   2  0.922  0.012  0.872  0.932  0.922  0.92
Rossi 2007   78  0.2533  0.0041  0.0544  0.1049  0.0445  0.06
Rubinstein 1939   53  0.3988  0.0023  0.0538  0.167  0.4913  0.28
Rubinstein 1952   48  0.4189  0.0043  0.0539  0.1535  0.1825  0.16
Rubinstein 1966   43  0.4534  0.0045  0.0641  0.1244  0.1133  0.11
Schilhawsky 1960   28  0.5167  0.0046  0.0647  0.0668  0.0450  0.05
Shebanova 2002   75  0.3025  0.0080  0.0372  0.0377  0.0367  0.03
Smith 1975   14  0.583  0.0011  0.148  0.5046  0.0624  0.17
Sokolov 2002   29  0.5168  0.0047  0.0746  0.0772  0.0349  0.05
Sztompka 1959   81  0.2290  0.0085  0.0282  0.0276  0.0383  0.02
Tomsic 1995   40  0.476  0.0036  0.0537  0.1778  0.0343  0.07
Uninsky 1932   83  0.2191  0.0087  0.0286  0.0284  0.0288  0.02
Uninsky 1971   65  0.348  0.0074  0.0370  0.0371  0.0362  0.03
Wasowski 1980   79  0.2435  0.0088  0.0285  0.0286  0.0278  0.02
Zak 1937   44  0.457  0.0044  0.0542  0.1265  0.0442  0.07
Zak 1951   35  0.4818  0.0037  0.0736  0.1871  0.0441  0.08
Average   7  0.6210  0.0012  0.099  0.4982  0.0331  0.12
Random 1   89  0.0429  0.0054  0.0365  0.037  0.4334  0.11
Random 2   91  -0.0856  0.0090  0.0189  0.0141  0.1269  0.03
Random 3   90  0.0057  0.0091  0.0191  0.0172  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).