Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.2177  0.0077  0.0478  0.0482  0.0381  0.03
Anderszewski 2003   79  0.1582  0.0082  0.0470  0.0472  0.0472  0.04
Ashkenazy 1981   9  0.537  0.019  0.225  0.7719  0.678  0.72
Bacha 2000   70  0.2183  0.0062  0.0475  0.0462  0.0570  0.04
Badura 1965   41  0.3721  0.0048  0.0751  0.0723  0.4645  0.18
Barbosa 1983   50  0.3278  0.0047  0.0656  0.0640  0.1349  0.09
Biret 1990   62  0.2466  0.0065  0.0566  0.0548  0.0858  0.06
Blet 2003   11  0.5040  0.0012  0.1923  0.565  0.6817  0.62
Block 1995   14  0.4871  0.0028  0.1025  0.5524  0.4727  0.51
Blumental 1952   59  0.269  0.0153  0.0657  0.0637  0.1948  0.11
Boshniakovich 1969   23  0.4443  0.0026  0.0920  0.6017  0.5323  0.56
Brailowsky 1960   75  0.1748  0.0069  0.0564  0.0546  0.1053  0.07
Bunin 1987   34  0.4030  0.0017  0.1419  0.606  0.6518  0.62
Bunin 1987b   33  0.4141  0.0016  0.1318  0.606  0.6515  0.62
Chiu 1999   7  0.5429  0.0010  0.167  0.7413  0.669  0.70
Cohen 1997   67  0.2263  0.0071  0.0472  0.0477  0.0283  0.03
Cortot 1951   63  0.2472  0.0063  0.0568  0.0561  0.0567  0.05
Csalog 1996   42  0.3756  0.0052  0.1145  0.1131  0.3243  0.19
Czerny 1949   83  0.0588  0.0087  0.0288  0.0260  0.0579  0.03
Czerny 1990   36  0.3923  0.0034  0.0936  0.3929  0.5134  0.45
Duchoud 2007   37  0.3934  0.0032  0.1034  0.4220  0.4735  0.44
Ezaki 2006   65  0.2367  0.0067  0.0660  0.0658  0.0559  0.05
Falvay 1989   76  0.1684  0.0080  0.0477  0.0483  0.0275  0.03
Farrell 1958   71  0.2068  0.0066  0.0565  0.0543  0.1054  0.07
Ferenczy 1958   90  -0.1389  0.0090  0.0190  0.0188  0.0289  0.01
Fliere 1977   3  0.6118  0.004  0.254  0.839  0.794  0.81
Fou 1978   52  0.3051  0.0055  0.0753  0.0762  0.0461  0.05
Francois 1956   74  0.1735  0.0073  0.0379  0.0366  0.0385  0.03
Friedman 1923   1  0.731  0.411  0.401  0.932  0.902  0.91
Friedman 1923b   2  0.732  0.372  0.742  0.932  0.911  0.92
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   43  0.3746  0.0038  0.1135  0.4034  0.3639  0.38
Garcia 2007b   49  0.3237  0.0046  0.1046  0.1030  0.3544  0.19
Gierzod 1998   77  0.1542  0.0068  0.0567  0.0560  0.0564  0.05
Gornostaeva 1994   66  0.2213  0.0061  0.0658  0.0661  0.0466  0.05
Groot 1988   17  0.4636  0.0029  0.1517  0.6123  0.3929  0.49
Harasiewicz 1955   30  0.4210  0.0142  0.0842  0.1873  0.0451  0.08
Hatto 1993   19  0.4624  0.0024  0.1121  0.5923  0.4726  0.53
Hatto 1997   48  0.3552  0.0051  0.0947  0.0941  0.1447  0.11
Horowitz 1949   12  0.4939  0.0011  0.179  0.714  0.755  0.73
Indjic 1988   18  0.4653  0.0023  0.1315  0.6222  0.5520  0.58
Kapell 1951   15  0.4828  0.0013  0.1211  0.667  0.6313  0.64
Kissin 1993   46  0.3654  0.0035  0.0939  0.3630  0.4736  0.41
Kushner 1989   45  0.3673  0.0050  0.0948  0.0950  0.0750  0.08
Luisada 1991   35  0.3974  0.0041  0.1241  0.2846  0.1046  0.17
Lushtak 2004   56  0.2869  0.0056  0.0849  0.0857  0.0556  0.06
Malcuzynski 1961   20  0.4525  0.0030  0.1327  0.5416  0.5524  0.54
Magaloff 1978   21  0.4516  0.0015  0.1213  0.6512  0.6114  0.63
Magin 1975   22  0.4414  0.0022  0.1124  0.5517  0.6619  0.60
Michalowski 1933   32  0.4212  0.0033  0.0932  0.4421  0.4633  0.45
Milkina 1970   86  0.0085  0.0086  0.0287  0.0289  0.0287  0.02
Mohovich 1999   72  0.1879  0.0079  0.0382  0.0383  0.0288  0.02
Moravec 1969   55  0.2890  0.0057  0.0659  0.0660  0.0460  0.05
Morozova 2008   29  0.4219  0.0020  0.1428  0.5320  0.4130  0.47
Neighaus 1950   27  0.4260  0.0037  0.1133  0.4439  0.1741  0.27
Niedzielski 1931   38  0.3964  0.0025  0.1030  0.5220  0.4628  0.49
Ohlsson 1999   8  0.5411  0.008  0.2412  0.666  0.6412  0.65
Osinska 1989   58  0.2870  0.0059  0.0661  0.0646  0.0852  0.07
Pachmann 1927   13  0.4965  0.0014  0.1214  0.6312  0.7011  0.66
Paderewski 1930   16  0.478  0.0121  0.1116  0.6214  0.6316  0.62
Perlemuter 1992   28  0.4261  0.0039  0.1638  0.3927  0.5232  0.45
Pierdomenico 2008   40  0.3832  0.0044  0.0844  0.1534  0.2342  0.19
Poblocka 1999   39  0.3875  0.0036  0.1137  0.3924  0.3838  0.38
Rabcewiczowa 1932   81  0.1276  0.0084  0.0285  0.0281  0.0386  0.02
Rachmaninoff 1923   26  0.4317  0.0019  0.1226  0.5517  0.6021  0.57
Rangell 2001   60  0.2662  0.0060  0.0752  0.0759  0.0557  0.06
Richter 1976   4  0.614  0.033  0.243  0.837  0.813  0.82
Rosen 1989   25  0.4433  0.0027  0.1122  0.5925  0.4925  0.54
Rosenthal 1930   61  0.2538  0.0064  0.0476  0.0449  0.0665  0.05
Rosenthal 1931   85  0.0326  0.0083  0.0473  0.0462  0.0471  0.04
Rosenthal 1931b   82  0.0880  0.0076  0.0469  0.0451  0.0668  0.05
Rosenthal 1931c   73  0.1847  0.0070  0.0562  0.0556  0.0473  0.04
Rosenthal 1931d   84  0.0555  0.0075  0.0383  0.0360  0.0484  0.03
Rossi 2007   80  0.1422  0.0074  0.0380  0.0335  0.1455  0.06
Rubinstein 1939   78  0.1549  0.0081  0.0474  0.0474  0.0377  0.03
Rubinstein 1952   51  0.3144  0.0049  0.0654  0.0670  0.0469  0.05
Rubinstein 1966   68  0.2127  0.0078  0.0563  0.0588  0.0278  0.03
Schilhawsky 1960   31  0.4220  0.0018  0.1331  0.497  0.6322  0.56
Shebanova 2002   5  0.585  0.035  0.2610  0.7116  0.6610  0.68
Smith 1975   64  0.2315  0.0072  0.0381  0.0370  0.0476  0.03
Sokolov 2002   54  0.2957  0.0058  0.0471  0.0472  0.0374  0.03
Sztompka 1959   24  0.4431  0.0031  0.1529  0.5228  0.4031  0.46
Tomsic 1995   57  0.2881  0.0054  0.0655  0.0656  0.0562  0.05
Uninsky 1932   10  0.533  0.047  0.386  0.769  0.697  0.72
Uninsky 1971   53  0.3050  0.0045  0.0750  0.0767  0.0463  0.05
Wasowski 1980   6  0.576  0.026  0.308  0.725  0.726  0.72
Zak 1937   44  0.3658  0.0040  0.1140  0.3320  0.4737  0.39
Zak 1951   47  0.3559  0.0043  0.0843  0.1621  0.4440  0.27
Random 1   88  -0.0186  0.0085  0.0384  0.0353  0.0482  0.03
Random 2   87  -0.0145  0.0088  0.0286  0.0264  0.0480  0.03
Random 3   89  -0.0487  0.0089  0.0189  0.0172  0.0290  0.01

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).