Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.2945  0.0079  0.0379  0.0385  0.0286  0.02
Anderszewski 2003   20  0.5261  0.0010  0.1027  0.2439  0.1320  0.18
Ashkenazy 1981   41  0.4562  0.0022  0.0643  0.1085  0.0262  0.04
Bacha 2000   44  0.4363  0.0066  0.0461  0.0458  0.0452  0.04
Badura 1965   76  0.2664  0.0062  0.0458  0.0474  0.0371  0.03
Barbosa 1983   78  0.2119  0.0081  0.0375  0.0389  0.0181  0.02
Biret 1990   47  0.4146  0.0057  0.0463  0.0486  0.0273  0.03
Blet 2003   62  0.3447  0.0078  0.0374  0.0388  0.0282  0.02
Block 1995   15  0.5618  0.0020  0.0621  0.3226  0.2611  0.29
Blumental 1952   83  0.1831  0.0074  0.0373  0.0385  0.0288  0.02
Boshniakovich 1969   35  0.4748  0.0024  0.0620  0.3634  0.1916  0.26
Brailowsky 1960   6  0.6465  0.005  0.237  0.507  0.466  0.48
Bunin 1987   29  0.4966  0.0043  0.0535  0.1645  0.0931  0.12
Bunin 1987b   30  0.4967  0.0042  0.0533  0.1745  0.0927  0.12
Chiu 1999   66  0.3349  0.0050  0.0549  0.0556  0.0456  0.04
Cohen 1997   52  0.3813  0.0053  0.0556  0.0525  0.2830  0.12
Cortot 1951   75  0.2750  0.0085  0.0285  0.0286  0.0290  0.02
Csalog 1996   79  0.2120  0.0090  0.0190  0.0185  0.0291  0.01
Czerny 1949   71  0.3032  0.0072  0.0369  0.0371  0.0370  0.03
Czerny 1990   61  0.3428  0.0071  0.0371  0.0382  0.0372  0.03
Duchoud 2007   54  0.3851  0.0068  0.0370  0.0383  0.0287  0.02
Ezaki 2006   34  0.4712  0.0045  0.0542  0.1085  0.0251  0.04
Falvay 1989   22  0.5137  0.0017  0.0629  0.2248  0.0534  0.10
Farrell 1958   21  0.5152  0.0048  0.0845  0.0833  0.1432  0.11
Ferenczy 1958   77  0.2416  0.0086  0.0287  0.0278  0.0383  0.02
Fliere 1977   9  0.5968  0.0019  0.0814  0.4155  0.0524  0.14
Fou 1978   12  0.5717  0.0015  0.128  0.4634  0.317  0.38
Francois 1956   48  0.4023  0.0044  0.0544  0.0968  0.0447  0.06
Friedman 1923   87  0.1469  0.0059  0.0368  0.0359  0.0563  0.04
Friedman 1923b   86  0.1670  0.0060  0.0459  0.0448  0.0650  0.05
Friedman 1930   73  0.2721  0.0056  0.0553  0.0554  0.0549  0.05
Garcia 2007   51  0.3938  0.0052  0.0548  0.0538  0.1840  0.09
Garcia 2007b   74  0.2739  0.0035  0.0541  0.119  0.3519  0.20
Gierzod 1998   23  0.5114  0.0016  0.0739  0.1372  0.0346  0.06
Gornostaeva 1994   10  0.5910  0.008  0.1113  0.4226  0.269  0.33
Groot 1988   13  0.5633  0.007  0.1210  0.4334  0.1714  0.27
Harasiewicz 1955   27  0.4924  0.009  0.109  0.4432  0.1912  0.29
Hatto 1993   59  0.3525  0.0063  0.0462  0.0471  0.0374  0.03
Hatto 1997   60  0.3471  0.0058  0.0466  0.0483  0.0269  0.03
Horowitz 1949   17  0.5553  0.0013  0.0912  0.4221  0.318  0.36
Indjic 1988   65  0.3372  0.0064  0.0557  0.0575  0.0358  0.04
Kapell 1951   67  0.3373  0.0080  0.0376  0.0387  0.0279  0.02
Kissin 1993   33  0.485  0.0021  0.0723  0.2954  0.0528  0.12
Kushner 1989   11  0.5854  0.0026  0.0822  0.3270  0.0335  0.10
Luisada 1991   36  0.4755  0.0049  0.0552  0.0570  0.0353  0.04
Lushtak 2004   63  0.3474  0.0055  0.0551  0.0569  0.0360  0.04
Malcuzynski 1961   8  0.6056  0.0018  0.0815  0.4046  0.0722  0.17
Magaloff 1978   4  0.7075  0.004  0.404  0.6713  0.425  0.53
Magin 1975   14  0.5676  0.0025  0.0717  0.3832  0.2113  0.28
Michalowski 1933   88  0.0977  0.0073  0.0372  0.0383  0.0367  0.03
Milkina 1970   16  0.5557  0.0014  0.0916  0.4035  0.2110  0.29
Mohovich 1999   25  0.5078  0.0028  0.0728  0.2381  0.0343  0.08
Moravec 1969   58  0.3511  0.0077  0.0281  0.0279  0.0375  0.02
Morozova 2008   45  0.4279  0.0031  0.0625  0.2879  0.0339  0.09
Neighaus 1950   24  0.5080  0.0030  0.0826  0.2665  0.0436  0.10
Niedzielski 1931   68  0.3381  0.0065  0.0465  0.0447  0.0557  0.04
Ohlsson 1999   53  0.3882  0.0067  0.0460  0.0481  0.0366  0.03
Osinska 1989   57  0.3583  0.0069  0.0464  0.0479  0.0364  0.03
Pachmann 1927   50  0.3984  0.0033  0.0730  0.2133  0.2318  0.22
Paderewski 1930   55  0.3726  0.0070  0.0377  0.0358  0.0365  0.03
Perlemuter 1992   42  0.4385  0.0038  0.0631  0.1847  0.0537  0.09
Pierdomenico 2008   28  0.4986  0.0027  0.1019  0.3737  0.1517  0.24
Poblocka 1999   64  0.3487  0.0082  0.0283  0.0283  0.0377  0.02
Rabcewiczowa 1932   80  0.209  0.0083  0.0282  0.0289  0.0278  0.02
Rachmaninoff 1923   39  0.4627  0.0029  0.0624  0.2843  0.1021  0.17
Rangell 2001   18  0.5334  0.0023  0.0618  0.3758  0.0525  0.14
Richter 1976   37  0.4740  0.0037  0.0434  0.1755  0.0442  0.08
Rosen 1989   26  0.5041  0.0047  0.0554  0.0575  0.0361  0.04
Rosenthal 1930   5  0.677  0.006  0.115  0.585  0.554  0.56
Rosenthal 1931   1  0.971  0.551  0.541  0.971  0.981  0.97
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.793  0.013  0.473  0.781  0.803  0.79
Rosenthal 1931d   2  0.962  0.432  0.932  0.971  0.962  0.96
Rossi 2007   85  0.1788  0.0036  0.0446  0.0877  0.0255  0.04
Rubinstein 1939   56  0.3722  0.0034  0.0537  0.149  0.4815  0.26
Rubinstein 1952   49  0.4042  0.0041  0.0636  0.1534  0.1823  0.16
Rubinstein 1966   46  0.4158  0.0054  0.0555  0.0549  0.0548  0.05
Schilhawsky 1960   31  0.4889  0.0046  0.0550  0.0567  0.0459  0.04
Shebanova 2002   69  0.3229  0.0076  0.0280  0.0279  0.0385  0.02
Smith 1975   19  0.534  0.0012  0.1111  0.4262  0.0426  0.13
Sokolov 2002   38  0.4635  0.0051  0.0547  0.0577  0.0354  0.04
Sztompka 1959   82  0.1830  0.0084  0.0284  0.0282  0.0280  0.02
Tomsic 1995   43  0.4343  0.0040  0.0540  0.1153  0.0444  0.07
Uninsky 1932   84  0.1715  0.0087  0.0286  0.0281  0.0384  0.02
Uninsky 1971   70  0.316  0.0075  0.0378  0.0369  0.0368  0.03
Wasowski 1980   81  0.2059  0.0088  0.0189  0.0180  0.0376  0.02
Zak 1937   40  0.4660  0.0039  0.0538  0.1458  0.0541  0.08
Zak 1951   32  0.4844  0.0032  0.0532  0.1858  0.0538  0.09
Average   7  0.608  0.0011  0.096  0.5174  0.0329  0.12
Random 1   89  0.0690  0.0061  0.0367  0.038  0.4333  0.11
Random 2   91  -0.0291  0.0089  0.0188  0.0116  0.3245  0.06
Random 3   90  0.0236  0.0091  0.0191  0.0168  0.0389  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).