Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.2921  0.0062  0.0470  0.0445  0.1145  0.07
Anderszewski 2003   74  0.2358  0.0075  0.0566  0.0580  0.0367  0.04
Ashkenazy 1981   10  0.4325  0.007  0.238  0.6719  0.546  0.60
Bacha 2000   81  0.1869  0.0081  0.0383  0.0381  0.0375  0.03
Badura 1965   25  0.3811  0.0017  0.1318  0.549  0.5511  0.54
Barbosa 1983   48  0.3022  0.0058  0.0563  0.0579  0.0366  0.04
Biret 1990   69  0.2559  0.0066  0.0559  0.0578  0.0371  0.04
Blet 2003   23  0.3846  0.0026  0.1326  0.4326  0.4119  0.42
Block 1995   17  0.4026  0.0022  0.1216  0.5435  0.2621  0.37
Blumental 1952   55  0.2827  0.0057  0.0564  0.0551  0.0660  0.05
Boshniakovich 1969   22  0.3860  0.0014  0.1117  0.5449  0.0629  0.18
Brailowsky 1960   42  0.3239  0.0048  0.0749  0.0740  0.1539  0.10
Bunin 1987   49  0.3070  0.0030  0.0732  0.3052  0.0633  0.13
Bunin 1987b   65  0.2617  0.0049  0.0655  0.0653  0.0555  0.05
Chiu 1999   20  0.3912  0.0027  0.0828  0.3933  0.2125  0.29
Cohen 1997   79  0.1871  0.0084  0.0377  0.0380  0.0383  0.03
Cortot 1951   82  0.1847  0.0083  0.0385  0.0377  0.0385  0.03
Csalog 1996   38  0.3340  0.0051  0.0657  0.0644  0.1143  0.08
Czerny 1949   87  0.1272  0.0087  0.0379  0.0388  0.0288  0.02
Czerny 1990   26  0.3773  0.0021  0.1019  0.5439  0.1924  0.32
Duchoud 2007   53  0.2974  0.0046  0.0561  0.0545  0.0946  0.07
Ezaki 2006   76  0.2075  0.0078  0.0289  0.0272  0.0474  0.03
Falvay 1989   75  0.2376  0.0073  0.0468  0.0481  0.0377  0.03
Farrell 1958   56  0.286  0.0050  0.0750  0.0748  0.0744  0.07
Ferenczy 1958   88  0.0832  0.0088  0.0378  0.0385  0.0381  0.03
Fliere 1977   4  0.5023  0.004  0.304  0.7824  0.464  0.60
Fou 1978   27  0.3613  0.0024  0.1222  0.4959  0.0530  0.16
Francois 1956   73  0.2361  0.0041  0.0644  0.1164  0.0448  0.07
Friedman 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923b   1  0.971  0.991  0.981  1.001  1.001  1.00
Friedman 1930   2  0.672  0.002  0.842  0.941  0.952  0.94
Garcia 2007   52  0.2918  0.0059  0.0558  0.0555  0.0559  0.05
Garcia 2007b   60  0.2828  0.0060  0.0746  0.0763  0.0552  0.06
Gierzod 1998   72  0.2362  0.0077  0.0476  0.0487  0.0382  0.03
Gornostaeva 1994   67  0.2677  0.0040  0.0640  0.1477  0.0350  0.06
Groot 1988   36  0.3441  0.0034  0.0831  0.3366  0.0437  0.11
Harasiewicz 1955   21  0.395  0.0037  0.0835  0.2672  0.0538  0.11
Hatto 1993   30  0.3678  0.0031  0.0727  0.4167  0.0434  0.13
Hatto 1997   63  0.2729  0.0063  0.0562  0.0586  0.0368  0.04
Horowitz 1949   24  0.3833  0.0023  0.1120  0.528  0.639  0.57
Indjic 1988   34  0.3530  0.0035  0.1130  0.3657  0.0632  0.15
Kapell 1951   57  0.2848  0.0065  0.0651  0.0664  0.0554  0.05
Kissin 1993   32  0.3516  0.0038  0.0936  0.2445  0.1728  0.20
Kushner 1989   31  0.3519  0.0039  0.1133  0.2857  0.0535  0.12
Luisada 1991   19  0.3935  0.0025  0.1124  0.4838  0.1526  0.27
Lushtak 2004   41  0.3349  0.0044  0.0643  0.1173  0.0447  0.07
Malcuzynski 1961   33  0.3579  0.0047  0.0654  0.0655  0.0556  0.05
Magaloff 1978   11  0.4250  0.0011  0.1111  0.6420  0.4014  0.51
Magin 1975   39  0.3314  0.0045  0.0545  0.1071  0.0449  0.06
Michalowski 1933   59  0.2880  0.0029  0.0741  0.1340  0.1731  0.15
Milkina 1970   84  0.1881  0.0074  0.0475  0.0484  0.0379  0.03
Mohovich 1999   51  0.2951  0.0064  0.0560  0.0571  0.0470  0.04
Moravec 1969   66  0.2636  0.0069  0.0471  0.0488  0.0276  0.03
Morozova 2008   45  0.317  0.0028  0.0838  0.1851  0.0540  0.09
Neighaus 1950   6  0.4437  0.005  0.2714  0.604  0.617  0.60
Niedzielski 1931   29  0.3631  0.0013  0.1425  0.4717  0.4417  0.45
Ohlsson 1999   8  0.4334  0.0012  0.1213  0.6018  0.3916  0.48
Osinska 1989   43  0.3282  0.0043  0.0642  0.1261  0.0541  0.08
Pachmann 1927   18  0.409  0.0018  0.1023  0.4911  0.5613  0.52
Paderewski 1930   44  0.3183  0.0032  0.0737  0.2426  0.4323  0.32
Perlemuter 1992   28  0.3615  0.0033  0.0729  0.3825  0.3920  0.38
Pierdomenico 2008   61  0.2742  0.0068  0.0565  0.0547  0.0553  0.05
Poblocka 1999   37  0.3384  0.0042  0.0639  0.1467  0.0542  0.08
Rabcewiczowa 1932   86  0.1485  0.0085  0.0384  0.0388  0.0286  0.02
Rachmaninoff 1923   13  0.4120  0.0010  0.1010  0.6614  0.545  0.60
Rangell 2001   47  0.3063  0.0055  0.0656  0.0647  0.0751  0.06
Richter 1976   14  0.414  0.0019  0.1021  0.4938  0.2422  0.34
Rosen 1989   9  0.4364  0.0015  0.149  0.6622  0.3118  0.45
Rosenthal 1930   62  0.2752  0.0070  0.0469  0.0462  0.0569  0.04
Rosenthal 1931   83  0.1886  0.0082  0.0381  0.0364  0.0480  0.03
Rosenthal 1931b   77  0.2087  0.0079  0.0386  0.0355  0.0572  0.04
Rosenthal 1931c   70  0.2453  0.0061  0.0652  0.0673  0.0373  0.04
Rosenthal 1931d   78  0.1943  0.0076  0.0380  0.0370  0.0484  0.03
Rossi 2007   80  0.1854  0.0080  0.0387  0.0360  0.0563  0.04
Rubinstein 1939   71  0.2388  0.0071  0.0474  0.0477  0.0378  0.03
Rubinstein 1952   46  0.3155  0.0053  0.0748  0.0786  0.0361  0.05
Rubinstein 1966   40  0.3389  0.0052  0.0747  0.0784  0.0357  0.05
Schilhawsky 1960   50  0.2990  0.0054  0.0653  0.0664  0.0458  0.05
Shebanova 2002   5  0.453  0.006  0.307  0.6923  0.488  0.58
Smith 1975   64  0.2765  0.0072  0.0473  0.0457  0.0564  0.04
Sokolov 2002   68  0.2556  0.0067  0.0567  0.0579  0.0362  0.04
Sztompka 1959   16  0.4057  0.0020  0.0915  0.6027  0.3815  0.48
Tomsic 1995   85  0.158  0.0086  0.0382  0.0387  0.0287  0.02
Uninsky 1932   35  0.3444  0.0036  0.0834  0.2859  0.0536  0.12
Uninsky 1971   58  0.2866  0.0056  0.0472  0.0468  0.0465  0.04
Wasowski 1980   12  0.4210  0.009  0.186  0.7027  0.4110  0.54
Zak 1937   7  0.4324  0.008  0.235  0.7311  0.603  0.66
Zak 1951   15  0.4167  0.0016  0.1712  0.6220  0.4312  0.52
Average   3  0.5738  0.003  0.613  0.9046  0.0827  0.27
Random 1   89  -0.0691  0.0089  0.0288  0.0282  0.0289  0.02
Random 2   90  -0.0868  0.0090  0.0190  0.0190  0.0190  0.01
Random 3   91  -0.1245  0.0091  0.0191  0.0191  0.0191  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).