Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6312  0.0011  0.0910  0.5436  0.2614  0.37
Anderszewski 2003   18  0.5929  0.0029  0.1135  0.3172  0.0341  0.10
Ashkenazy 1981   19  0.5864  0.0014  0.1415  0.5126  0.3113  0.40
Bacha 2000   54  0.4732  0.0055  0.0650  0.0648  0.0549  0.05
Badura 1965   10  0.628  0.0016  0.1117  0.4814  0.527  0.50
Barbosa 1983   57  0.4647  0.0065  0.0746  0.0777  0.0457  0.05
Biret 1990   50  0.4848  0.0060  0.0565  0.0548  0.0659  0.05
Blet 2003   64  0.436  0.0069  0.0473  0.0479  0.0381  0.03
Block 1995   52  0.4865  0.0051  0.0554  0.0570  0.0472  0.04
Blumental 1952   45  0.5030  0.0043  0.0544  0.1146  0.0645  0.08
Boshniakovich 1969   26  0.5666  0.0018  0.1019  0.4750  0.0722  0.18
Brailowsky 1960   48  0.4931  0.0063  0.0568  0.0548  0.0650  0.05
Bunin 1987   75  0.3633  0.0050  0.0653  0.0641  0.2040  0.11
Bunin 1987b   79  0.3213  0.0056  0.0560  0.0547  0.0656  0.05
Chiu 1999   32  0.5421  0.0047  0.0651  0.0658  0.0553  0.05
Cohen 1997   84  0.3067  0.0085  0.0288  0.0284  0.0389  0.02
Cortot 1951   69  0.4068  0.0075  0.0379  0.0371  0.0485  0.03
Csalog 1996   88  0.2369  0.0086  0.0385  0.0384  0.0380  0.03
Czerny 1949   14  0.6134  0.008  0.197  0.5932  0.399  0.48
Czerny 1990   13  0.6135  0.0020  0.0913  0.5251  0.0720  0.19
Duchoud 2007   73  0.3770  0.0071  0.0474  0.0465  0.0569  0.04
Ezaki 2006   25  0.5671  0.0040  0.0939  0.2054  0.0639  0.11
Falvay 1989   78  0.3472  0.0087  0.0475  0.0479  0.0377  0.03
Farrell 1958   51  0.4814  0.0064  0.0555  0.0564  0.0555  0.05
Ferenczy 1958   56  0.4649  0.0048  0.0570  0.0546  0.0848  0.06
Fliere 1977   11  0.6150  0.0017  0.0923  0.4361  0.0525  0.15
Fou 1978   46  0.5073  0.0053  0.0556  0.0568  0.0465  0.04
Francois 1956   60  0.453  0.0049  0.0563  0.0564  0.0476  0.04
Friedman 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923b   1  0.981  0.991  0.971  0.991  0.991  0.99
Friedman 1930   2  0.842  0.002  0.782  0.871  0.902  0.88
Garcia 2007   66  0.4274  0.0074  0.0381  0.0362  0.0482  0.03
Garcia 2007b   49  0.484  0.0044  0.0542  0.1361  0.0446  0.07
Gierzod 1998   23  0.5622  0.0025  0.0825  0.4262  0.0436  0.13
Gornostaeva 1994   42  0.5175  0.0036  0.1137  0.2765  0.0342  0.09
Groot 1988   70  0.3951  0.0068  0.0648  0.0676  0.0460  0.05
Harasiewicz 1955   9  0.6336  0.0021  0.1214  0.5146  0.0721  0.19
Hatto 1993   6  0.6937  0.003  0.225  0.7112  0.485  0.58
Hatto 1997   5  0.7038  0.005  0.246  0.7012  0.504  0.59
Horowitz 1949   41  0.5176  0.0035  0.0931  0.3627  0.4512  0.40
Indjic 1988   4  0.7077  0.004  0.224  0.7113  0.503  0.60
Kapell 1951   67  0.4152  0.0062  0.0559  0.0586  0.0367  0.04
Kissin 1993   37  0.5378  0.0033  0.0830  0.3762  0.0437  0.12
Kushner 1989   44  0.5079  0.0059  0.0562  0.0584  0.0366  0.04
Luisada 1991   12  0.6110  0.0013  0.1018  0.4826  0.3311  0.40
Lushtak 2004   39  0.5253  0.0058  0.0567  0.0580  0.0371  0.04
Malcuzynski 1961   58  0.4623  0.0022  0.0841  0.1858  0.0444  0.08
Magaloff 1978   59  0.4519  0.0061  0.0558  0.0547  0.0654  0.05
Magin 1975   31  0.5415  0.0026  0.0828  0.3852  0.0528  0.14
Michalowski 1933   62  0.4480  0.0054  0.0569  0.0550  0.0847  0.06
Milkina 1970   40  0.5181  0.0034  0.1032  0.3559  0.0534  0.13
Mohovich 1999   55  0.4724  0.0057  0.0564  0.0580  0.0473  0.04
Moravec 1969   77  0.359  0.0073  0.0478  0.0457  0.0561  0.04
Morozova 2008   34  0.5454  0.0038  0.1038  0.2757  0.0538  0.12
Neighaus 1950   7  0.6425  0.007  0.458  0.5815  0.546  0.56
Niedzielski 1931   20  0.587  0.0015  0.1516  0.5012  0.478  0.48
Ohlsson 1999   22  0.5639  0.0027  0.0834  0.3247  0.0631  0.14
Osinska 1989   33  0.5440  0.0039  0.1233  0.3364  0.0532  0.13
Pachmann 1927   72  0.3741  0.0084  0.0286  0.0278  0.0388  0.02
Paderewski 1930   71  0.3755  0.0072  0.0566  0.0562  0.0468  0.04
Perlemuter 1992   61  0.4456  0.0067  0.0652  0.0673  0.0362  0.04
Pierdomenico 2008   85  0.2842  0.0081  0.0287  0.0281  0.0387  0.02
Poblocka 1999   53  0.4757  0.0046  0.0747  0.0770  0.0451  0.05
Rabcewiczowa 1932   68  0.4082  0.0070  0.0557  0.0583  0.0364  0.04
Rachmaninoff 1923   17  0.5916  0.0023  0.0722  0.4539  0.1816  0.28
Rangell 2001   86  0.2743  0.0079  0.0383  0.0377  0.0383  0.03
Richter 1976   47  0.495  0.0042  0.0545  0.1143  0.1829  0.14
Rosen 1989   30  0.5526  0.0030  0.1124  0.4358  0.0527  0.15
Rosenthal 1930   76  0.3558  0.0077  0.0571  0.0562  0.0370  0.04
Rosenthal 1931   80  0.3259  0.0080  0.0477  0.0474  0.0379  0.03
Rosenthal 1931b   83  0.3183  0.0082  0.0384  0.0357  0.0574  0.04
Rosenthal 1931c   81  0.3160  0.0078  0.0380  0.0362  0.0486  0.03
Rosenthal 1931d   82  0.3144  0.0083  0.0382  0.0361  0.0484  0.03
Rossi 2007   63  0.4384  0.0076  0.0572  0.0557  0.0552  0.05
Rubinstein 1939   43  0.5061  0.0045  0.0643  0.1254  0.0543  0.08
Rubinstein 1952   74  0.3717  0.0066  0.0649  0.0676  0.0375  0.04
Rubinstein 1966   27  0.5527  0.0041  0.0740  0.1946  0.0935  0.13
Schilhawsky 1960   24  0.5685  0.0024  0.0720  0.4750  0.0623  0.17
Shebanova 2002   28  0.5520  0.0019  0.0821  0.4554  0.0526  0.15
Smith 1975   36  0.5345  0.0037  0.0936  0.3050  0.0633  0.13
Sokolov 2002   65  0.4286  0.0052  0.0561  0.0560  0.0463  0.04
Sztompka 1959   21  0.5846  0.0028  0.1026  0.4262  0.0530  0.14
Tomsic 1995   87  0.2487  0.0088  0.0476  0.0482  0.0378  0.03
Uninsky 1932   38  0.5388  0.0031  0.1329  0.3744  0.1818  0.26
Uninsky 1971   35  0.5489  0.009  0.169  0.5430  0.3410  0.43
Wasowski 1980   29  0.5528  0.0032  0.1127  0.4054  0.0624  0.15
Zak 1937   15  0.6118  0.0010  0.1511  0.5336  0.2115  0.33
Zak 1951   16  0.6011  0.0012  0.1212  0.5238  0.1517  0.28
Average   3  0.7162  0.006  0.303  0.7755  0.0619  0.21
Random 1   90  -0.1390  0.0089  0.0289  0.0236  0.1558  0.05
Random 2   89  -0.0991  0.0090  0.0190  0.0184  0.0290  0.01
Random 3   91  -0.1563  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).