Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6850  0.0013  0.098  0.4721  0.2814  0.36
Anderszewski 2003   49  0.5064  0.0049  0.0647  0.0653  0.0450  0.05
Ashkenazy 1981   45  0.5175  0.0045  0.0549  0.0565  0.0360  0.04
Bacha 2000   70  0.3833  0.0065  0.0370  0.0348  0.0652  0.04
Badura 1965   51  0.4987  0.0059  0.0455  0.0471  0.0375  0.03
Barbosa 1983   38  0.5518  0.0122  0.0724  0.3226  0.3317  0.32
Biret 1990   11  0.686  0.058  0.1012  0.4417  0.3015  0.36
Blet 2003   33  0.5776  0.0037  0.0830  0.2152  0.0533  0.10
Block 1995   60  0.4527  0.0053  0.0453  0.0467  0.0376  0.03
Blumental 1952   63  0.4258  0.0035  0.0731  0.2123  0.2229  0.21
Boshniakovich 1969   40  0.5428  0.0070  0.0366  0.0358  0.0477  0.03
Brailowsky 1960   69  0.3869  0.0083  0.0375  0.0380  0.0461  0.03
Bunin 1987   36  0.5690  0.0041  0.0540  0.1354  0.0540  0.08
Bunin 1987b   35  0.5681  0.0042  0.0541  0.1256  0.0443  0.07
Chiu 1999   67  0.4011  0.0255  0.0460  0.0463  0.0455  0.04
Cohen 1997   86  0.1729  0.0082  0.0380  0.0377  0.0378  0.03
Cortot 1951   12  0.6722  0.0116  0.1014  0.4115  0.437  0.42
Csalog 1996   73  0.3266  0.0081  0.0281  0.0258  0.0471  0.03
Czerny 1949   1  0.801  0.201  0.201  0.653  0.591  0.62
Czerny 1990   2  0.7830  0.006  0.144  0.4917  0.3111  0.39
Duchoud 2007   26  0.6289  0.0025  0.0718  0.3733  0.2520  0.30
Ezaki 2006   9  0.6919  0.0119  0.0619  0.3648  0.0630  0.15
Falvay 1989   47  0.5148  0.0056  0.0456  0.0467  0.0457  0.04
Farrell 1958   31  0.5843  0.0033  0.0527  0.2321  0.2327  0.23
Ferenczy 1958   28  0.6139  0.0018  0.0921  0.3515  0.4112  0.38
Fliere 1977   25  0.6378  0.0048  0.0648  0.0663  0.0448  0.05
Fou 1978   74  0.3261  0.0066  0.0372  0.0373  0.0463  0.03
Francois 1956   7  0.704  0.073  0.1710  0.4710  0.388  0.42
Friedman 1923   82  0.2179  0.0034  0.0539  0.1510  0.4525  0.26
Friedman 1923b   83  0.2180  0.0029  0.0538  0.1510  0.4424  0.26
Friedman 1930   43  0.5255  0.0017  0.0917  0.4012  0.419  0.40
Garcia 2007   76  0.2982  0.0072  0.0367  0.0358  0.0474  0.03
Garcia 2007b   77  0.2765  0.0063  0.0461  0.0428  0.1642  0.08
Gierzod 1998   20  0.6515  0.0120  0.0715  0.4120  0.2318  0.31
Gornostaeva 1994   5  0.7224  0.0111  0.0820  0.3629  0.2123  0.27
Groot 1988   30  0.5941  0.0032  0.0642  0.1167  0.0347  0.06
Harasiewicz 1955   56  0.4620  0.0130  0.0532  0.1759  0.0441  0.08
Hatto 1993   84  0.2183  0.0062  0.0373  0.0369  0.0380  0.03
Hatto 1997   75  0.3151  0.0050  0.0745  0.0760  0.0351  0.05
Horowitz 1949   66  0.4059  0.0075  0.0378  0.0370  0.0367  0.03
Indjic 1988   81  0.2284  0.0060  0.0459  0.0471  0.0370  0.03
Kapell 1951   6  0.708  0.027  0.099  0.4721  0.415  0.44
Kissin 1993   59  0.4567  0.0069  0.0365  0.0373  0.0369  0.03
Kushner 1989   22  0.6454  0.0031  0.0637  0.1644  0.1231  0.14
Luisada 1991   48  0.5185  0.0058  0.0551  0.0562  0.0454  0.04
Lushtak 2004   50  0.4962  0.0036  0.0929  0.2255  0.0437  0.09
Malcuzynski 1961   19  0.6546  0.0028  0.0626  0.2660  0.0432  0.10
Magaloff 1978   34  0.5614  0.0152  0.0452  0.0476  0.0362  0.03
Magin 1975   68  0.3921  0.0177  0.0284  0.0271  0.0384  0.02
Michalowski 1933   16  0.655  0.065  0.213  0.5211  0.453  0.48
Milkina 1970   57  0.4616  0.0161  0.0371  0.0375  0.0365  0.03
Mohovich 1999   24  0.6336  0.0038  0.0828  0.2351  0.0434  0.10
Moravec 1969   42  0.5352  0.0057  0.0462  0.0446  0.0553  0.04
Morozova 2008   37  0.5653  0.0026  0.0633  0.1761  0.0439  0.08
Neighaus 1950   13  0.679  0.029  0.087  0.4835  0.1821  0.29
Niedzielski 1931   65  0.4186  0.0076  0.0282  0.0285  0.0283  0.02
Ohlsson 1999   27  0.6234  0.0039  0.0736  0.1653  0.0536  0.09
Osinska 1989   4  0.7538  0.0014  0.0916  0.4110  0.3810  0.39
Pachmann 1927   78  0.2549  0.0079  0.0379  0.0371  0.0368  0.03
Paderewski 1930   17  0.6510  0.0224  0.0823  0.338  0.4013  0.36
Perlemuter 1992   46  0.5174  0.0046  0.0646  0.0657  0.0449  0.05
Pierdomenico 2008   29  0.6047  0.0051  0.0457  0.0447  0.0458  0.04
Poblocka 1999   18  0.6531  0.0023  0.0822  0.3534  0.2122  0.27
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   52  0.4937  0.0047  0.0550  0.0564  0.0456  0.04
Rangell 2001   53  0.4823  0.0171  0.0463  0.0469  0.0379  0.03
Richter 1976   71  0.3557  0.0080  0.0377  0.0385  0.0285  0.02
Rosen 1989   23  0.6332  0.0021  0.0725  0.3225  0.3416  0.33
Rosenthal 1930   44  0.5240  0.0054  0.0458  0.0459  0.0459  0.04
Rosenthal 1931   80  0.2371  0.0085  0.0285  0.0286  0.0286  0.02
Rosenthal 1931b   85  0.2077  0.0086  0.0288  0.0281  0.0288  0.02
Rosenthal 1931c   62  0.4244  0.0078  0.0374  0.0369  0.0381  0.03
Rosenthal 1931d   79  0.2560  0.0087  0.0287  0.0287  0.0287  0.02
Rossi 2007   58  0.4613  0.0127  0.0835  0.1710  0.2828  0.22
Rubinstein 1939   87  0.1173  0.0089  0.0189  0.0180  0.0382  0.02
Rubinstein 1952   72  0.3435  0.0084  0.0283  0.0281  0.0389  0.02
Rubinstein 1966   55  0.4745  0.0064  0.0368  0.0367  0.0472  0.03
Schilhawsky 1960   39  0.5470  0.0043  0.0444  0.0958  0.0544  0.07
Shebanova 2002   54  0.4768  0.0068  0.0364  0.0364  0.0473  0.03
Smith 1975   8  0.6912  0.0115  0.116  0.4843  0.1126  0.23
Sokolov 2002   14  0.677  0.0312  0.1113  0.4137  0.2219  0.30
Sztompka 1959   3  0.772  0.172  0.252  0.566  0.512  0.53
Tomsic 1995   32  0.5717  0.0140  0.0734  0.1750  0.0438  0.08
Uninsky 1932   21  0.643  0.124  0.175  0.497  0.464  0.47
Uninsky 1971   15  0.6625  0.0110  0.1011  0.4621  0.416  0.43
Wasowski 1980   41  0.5356  0.0044  0.0543  0.1071  0.0445  0.06
Zak 1937   64  0.4288  0.0073  0.0454  0.0478  0.0364  0.03
Zak 1951   61  0.4372  0.0067  0.0369  0.0379  0.0366  0.03
Random 1   90  -0.1742  0.0090  0.0190  0.0186  0.0290  0.01
Random 2   89  0.0026  0.0188  0.0286  0.0227  0.2046  0.06
Random 3   88  0.0663  0.0074  0.0376  0.0317  0.3535  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).