Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.731  0.191  0.1910  0.5310  0.478  0.50
Anderszewski 2003   44  0.5961  0.0055  0.0458  0.0444  0.0772  0.05
Ashkenazy 1981   32  0.6567  0.0032  0.1031  0.2437  0.1934  0.21
Bacha 2000   21  0.687  0.0414  0.1416  0.433  0.5310  0.48
Badura 1965   73  0.5174  0.0068  0.0465  0.0436  0.1862  0.08
Barbosa 1983   81  0.4650  0.0059  0.0378  0.0342  0.1370  0.06
Biret 1990   16  0.7125  0.0120  0.1020  0.4019  0.3322  0.36
Blet 2003   30  0.6533  0.0021  0.0625  0.2615  0.3627  0.31
Block 1995   35  0.6318  0.0128  0.0726  0.2610  0.4026  0.32
Blumental 1952   76  0.4953  0.0036  0.0636  0.1723  0.2136  0.19
Boshniakovich 1969   23  0.6632  0.0031  0.0730  0.2429  0.2629  0.25
Brailowsky 1960   27  0.6629  0.0035  0.0828  0.2618  0.3924  0.32
Bunin 1987   86  0.4089  0.0086  0.0376  0.0357  0.0583  0.04
Bunin 1987b   87  0.4086  0.0085  0.0382  0.0357  0.0577  0.04
Chiu 1999   47  0.5831  0.0030  0.0727  0.2616  0.4523  0.34
Cohen 1997   83  0.4216  0.0156  0.0375  0.0318  0.3055  0.09
Cortot 1951   62  0.5359  0.0082  0.0383  0.0368  0.0488  0.03
Csalog 1996   63  0.5336  0.0073  0.0379  0.0332  0.2060  0.08
Czerny 1949   43  0.5962  0.0022  0.0732  0.2475  0.0450  0.10
Czerny 1990   15  0.718  0.037  0.1112  0.4914  0.4615  0.47
Duchoud 2007   53  0.5747  0.0061  0.0467  0.0440  0.1561  0.08
Ezaki 2006   12  0.7220  0.0116  0.1511  0.5111  0.4413  0.47
Falvay 1989   34  0.6340  0.0052  0.0470  0.0433  0.2848  0.11
Farrell 1958   36  0.6370  0.0050  0.0845  0.0834  0.2045  0.13
Ferenczy 1958   59  0.5537  0.0046  0.0461  0.0450  0.0580  0.04
Fliere 1977   7  0.7515  0.0113  0.153  0.5620  0.3914  0.47
Fou 1978   17  0.705  0.0412  0.1313  0.497  0.499  0.49
Francois 1956   26  0.6654  0.0015  0.1317  0.4312  0.4717  0.45
Friedman 1923   79  0.4783  0.0071  0.0549  0.0513  0.4640  0.15
Friedman 1923b   77  0.4743  0.0070  0.0459  0.0414  0.4642  0.14
Friedman 1930   70  0.5141  0.0066  0.0846  0.0826  0.3138  0.16
Garcia 2007   68  0.5268  0.0053  0.0372  0.0344  0.0973  0.05
Garcia 2007b   67  0.5345  0.0038  0.0642  0.119  0.3437  0.19
Gierzod 1998   6  0.7527  0.0110  0.127  0.5510  0.507  0.52
Gornostaeva 1994   1  0.782  0.172  0.191  0.642  0.701  0.67
Groot 1988   33  0.6317  0.0133  0.0733  0.2335  0.2630  0.24
Harasiewicz 1955   50  0.5764  0.0026  0.0634  0.2244  0.0943  0.14
Hatto 1993   80  0.4678  0.0065  0.0647  0.0632  0.1853  0.10
Hatto 1997   74  0.5011  0.0241  0.0541  0.1238  0.1247  0.12
Horowitz 1949   69  0.5248  0.0081  0.0463  0.0449  0.0578  0.04
Indjic 1988   78  0.4756  0.0064  0.0552  0.0537  0.1459  0.08
Kapell 1951   31  0.6510  0.0244  0.0544  0.0949  0.0565  0.07
Kissin 1993   13  0.7275  0.0018  0.1718  0.4216  0.4119  0.41
Kushner 1989   2  0.7713  0.015  0.156  0.565  0.544  0.55
Luisada 1991   14  0.726  0.048  0.118  0.542  0.563  0.55
Lushtak 2004   55  0.5680  0.0063  0.0550  0.0562  0.0482  0.04
Malcuzynski 1961   20  0.6865  0.0034  0.0735  0.2023  0.2631  0.23
Magaloff 1978   19  0.6930  0.0023  0.0622  0.3121  0.3425  0.32
Magin 1975   18  0.6914  0.0117  0.1414  0.478  0.4911  0.48
Michalowski 1933   64  0.5371  0.0051  0.0469  0.0441  0.1658  0.08
Milkina 1970   5  0.769  0.026  0.115  0.567  0.536  0.54
Mohovich 1999   4  0.7612  0.019  0.134  0.567  0.545  0.55
Moravec 1969   58  0.5582  0.0072  0.0385  0.0339  0.2156  0.08
Morozova 2008   40  0.6124  0.0125  0.0629  0.2430  0.2232  0.23
Neighaus 1950   10  0.7322  0.0111  0.139  0.5413  0.4212  0.48
Niedzielski 1931   75  0.5058  0.0083  0.0460  0.0487  0.0384  0.03
Ohlsson 1999   22  0.6838  0.0027  0.0821  0.3430  0.2528  0.29
Osinska 1989   3  0.773  0.133  0.292  0.623  0.642  0.63
Pachmann 1927   71  0.5144  0.0080  0.0373  0.0335  0.1368  0.06
Paderewski 1930   37  0.6285  0.0037  0.0739  0.1523  0.2535  0.19
Perlemuter 1992   46  0.5887  0.0039  0.0537  0.1566  0.0457  0.08
Pierdomenico 2008   38  0.6257  0.0049  0.0648  0.0623  0.3939  0.15
Poblocka 1999   25  0.6660  0.0048  0.0553  0.0545  0.0867  0.06
Rabcewiczowa 1932   29  0.6539  0.0024  0.0723  0.3111  0.4321  0.37
Rachmaninoff 1923   65  0.5352  0.0062  0.0457  0.0449  0.0576  0.04
Rangell 2001   28  0.6521  0.0129  0.0624  0.295  0.4920  0.38
Richter 1976   84  0.4155  0.0087  0.0468  0.0472  0.0385  0.03
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   60  0.5488  0.0078  0.0380  0.0354  0.0487  0.03
Rosenthal 1931   66  0.5373  0.0077  0.0288  0.0229  0.2366  0.07
Rosenthal 1931b   61  0.5472  0.0076  0.0386  0.0329  0.2363  0.08
Rosenthal 1931c   54  0.5679  0.0075  0.0374  0.0332  0.2364  0.08
Rosenthal 1931d   52  0.5746  0.0074  0.0377  0.0319  0.3252  0.10
Rossi 2007   82  0.4642  0.0045  0.0456  0.049  0.4741  0.14
Rubinstein 1939   85  0.4149  0.0084  0.0464  0.0448  0.0671  0.05
Rubinstein 1952   56  0.5526  0.0167  0.0551  0.0525  0.3844  0.14
Rubinstein 1966   45  0.5928  0.0143  0.0640  0.1224  0.3833  0.21
Schilhawsky 1960   72  0.5166  0.0079  0.0384  0.0363  0.0486  0.03
Shebanova 2002   8  0.7369  0.0019  0.1419  0.4216  0.4518  0.43
Smith 1975   11  0.734  0.084  0.1615  0.4712  0.4616  0.46
Sokolov 2002   49  0.5777  0.0069  0.0455  0.0463  0.0475  0.04
Sztompka 1959   24  0.6663  0.0047  0.0454  0.0447  0.0869  0.06
Tomsic 1995   39  0.6151  0.0060  0.0466  0.0421  0.3946  0.12
Uninsky 1932   57  0.5534  0.0057  0.0381  0.0364  0.0581  0.04
Uninsky 1971   51  0.5723  0.0158  0.0371  0.0361  0.0579  0.04
Wasowski 1980   48  0.5876  0.0054  0.0462  0.0450  0.0574  0.04
Zak 1937   41  0.6119  0.0142  0.0543  0.1146  0.0754  0.09
Zak 1951   42  0.6035  0.0040  0.0538  0.1549  0.0749  0.10
Random 1   90  -0.2081  0.0090  0.0190  0.0177  0.0290  0.01
Random 2   89  -0.1290  0.0089  0.0289  0.0273  0.0389  0.02
Random 3   88  0.0784  0.0088  0.0287  0.029  0.4651  0.10

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).