Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.704  0.096  0.1311  0.477  0.428  0.44
Anderszewski 2003   60  0.4887  0.0073  0.0376  0.0351  0.0475  0.03
Ashkenazy 1981   27  0.6545  0.0030  0.0616  0.4346  0.0535  0.15
Bacha 2000   14  0.7027  0.0124  0.0724  0.3513  0.4512  0.40
Badura 1965   69  0.4466  0.0049  0.0459  0.0439  0.1548  0.08
Barbosa 1983   68  0.4570  0.0032  0.0542  0.1547  0.0545  0.09
Biret 1990   11  0.7324  0.0122  0.0613  0.4633  0.1824  0.29
Blet 2003   37  0.5953  0.0034  0.0640  0.1844  0.0938  0.13
Block 1995   18  0.688  0.0318  0.0821  0.389  0.3813  0.38
Blumental 1952   79  0.3625  0.0128  0.0736  0.2244  0.0839  0.13
Boshniakovich 1969   26  0.6510  0.0215  0.0922  0.3816  0.3216  0.35
Brailowsky 1960   28  0.6530  0.0127  0.0630  0.2726  0.2826  0.27
Bunin 1987   62  0.4752  0.0081  0.0454  0.0474  0.0382  0.03
Bunin 1987b   61  0.4779  0.0080  0.0453  0.0474  0.0372  0.03
Chiu 1999   40  0.5842  0.0023  0.0718  0.4214  0.4210  0.42
Cohen 1997   66  0.4514  0.0144  0.0644  0.1224  0.2933  0.19
Cortot 1951   54  0.5236  0.0054  0.0451  0.0459  0.0565  0.04
Csalog 1996   64  0.477  0.0483  0.0366  0.0353  0.0663  0.04
Czerny 1949   38  0.5832  0.0012  0.1123  0.3638  0.1928  0.26
Czerny 1990   20  0.686  0.0410  0.1014  0.4429  0.2321  0.32
Duchoud 2007   36  0.5948  0.0031  0.0638  0.2044  0.1036  0.14
Ezaki 2006   9  0.7315  0.019  0.106  0.5418  0.329  0.42
Falvay 1989   21  0.6754  0.0036  0.0732  0.2644  0.0737  0.13
Farrell 1958   33  0.6319  0.0125  0.0737  0.2035  0.1334  0.16
Ferenczy 1958   73  0.4272  0.0086  0.0375  0.0379  0.0288  0.02
Fliere 1977   8  0.7312  0.0117  0.119  0.5129  0.2019  0.32
Fou 1978   25  0.6620  0.0121  0.0917  0.4235  0.2817  0.34
Francois 1956   34  0.6231  0.0011  0.1119  0.4217  0.3115  0.36
Friedman 1923   87  0.2889  0.0066  0.0377  0.0317  0.4243  0.11
Friedman 1923b   86  0.2880  0.0065  0.0380  0.0316  0.4241  0.11
Friedman 1930   75  0.3861  0.0048  0.0452  0.0431  0.2444  0.10
Garcia 2007   80  0.3363  0.0062  0.0381  0.0368  0.0379  0.03
Garcia 2007b   85  0.2973  0.0061  0.0371  0.0330  0.1552  0.07
Gierzod 1998   10  0.7326  0.0114  0.097  0.5413  0.3211  0.42
Gornostaeva 1994   1  0.821  0.231  0.232  0.672  0.553  0.61
Groot 1988   19  0.6846  0.0039  0.0735  0.2449  0.0542  0.11
Harasiewicz 1955   63  0.4758  0.0040  0.0839  0.1955  0.0446  0.09
Hatto 1993   83  0.3228  0.0176  0.0546  0.0581  0.0283  0.03
Hatto 1997   77  0.3818  0.0147  0.0455  0.0472  0.0378  0.03
Horowitz 1949   58  0.5071  0.0078  0.0367  0.0384  0.0374  0.03
Indjic 1988   82  0.3269  0.0075  0.0378  0.0384  0.0287  0.02
Kapell 1951   43  0.5674  0.0069  0.0283  0.0271  0.0385  0.02
Kissin 1993   15  0.6981  0.0020  0.0720  0.4021  0.3214  0.36
Kushner 1989   4  0.7843  0.007  0.128  0.519  0.426  0.46
Luisada 1991   32  0.6364  0.0029  0.0727  0.3132  0.2325  0.27
Lushtak 2004   48  0.5335  0.0052  0.0458  0.0472  0.0381  0.03
Malcuzynski 1961   2  0.8113  0.013  0.234  0.5912  0.444  0.51
Magaloff 1978   5  0.789  0.035  0.135  0.5914  0.415  0.49
Magin 1975   39  0.5885  0.0035  0.0831  0.2620  0.2529  0.25
Michalowski 1933   76  0.3823  0.0146  0.0447  0.0454  0.0561  0.04
Milkina 1970   17  0.6956  0.0037  0.0634  0.2536  0.1931  0.22
Mohovich 1999   12  0.7211  0.0113  0.1012  0.4627  0.2122  0.31
Moravec 1969   41  0.5865  0.0059  0.0364  0.0350  0.0467  0.03
Morozova 2008   56  0.5141  0.0042  0.0743  0.1363  0.0451  0.07
Neighaus 1950   3  0.803  0.112  0.211  0.682  0.571  0.62
Niedzielski 1931   78  0.3778  0.0087  0.0288  0.0278  0.0284  0.02
Ohlsson 1999   23  0.6621  0.0141  0.1233  0.2539  0.1432  0.19
Osinska 1989   6  0.762  0.124  0.193  0.642  0.582  0.61
Pachmann 1927   65  0.4740  0.0077  0.0361  0.0350  0.0560  0.04
Paderewski 1930   35  0.6037  0.0019  0.0829  0.2821  0.2627  0.27
Perlemuter 1992   55  0.5168  0.0058  0.0365  0.0365  0.0369  0.03
Pierdomenico 2008   29  0.6433  0.0026  0.0826  0.3324  0.2823  0.30
Poblocka 1999   24  0.6634  0.0043  0.0641  0.1664  0.0447  0.08
Rabcewiczowa 1932   31  0.6322  0.0133  0.0625  0.3425  0.3218  0.33
Rachmaninoff 1923   72  0.4382  0.0050  0.0450  0.0447  0.0457  0.04
Rangell 2001   7  0.745  0.058  0.1215  0.433  0.487  0.45
Richter 1976   74  0.4247  0.0085  0.0286  0.0267  0.0386  0.02
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   52  0.5259  0.0072  0.0282  0.0249  0.0580  0.03
Rosenthal 1931   59  0.4857  0.0074  0.0372  0.0344  0.1055  0.05
Rosenthal 1931b   57  0.5083  0.0068  0.0374  0.0353  0.0566  0.04
Rosenthal 1931c   42  0.5751  0.0051  0.0449  0.0448  0.0656  0.05
Rosenthal 1931d   45  0.5560  0.0060  0.0457  0.0430  0.1749  0.08
Rossi 2007   84  0.3067  0.0053  0.0460  0.0432  0.1250  0.07
Rubinstein 1939   88  0.1939  0.0088  0.0287  0.0271  0.0471  0.03
Rubinstein 1952   49  0.5349  0.0070  0.0379  0.0341  0.1253  0.06
Rubinstein 1966   47  0.5444  0.0071  0.0284  0.0260  0.0576  0.03
Schilhawsky 1960   67  0.4577  0.0082  0.0448  0.0482  0.0377  0.03
Shebanova 2002   16  0.6938  0.0038  0.0728  0.3023  0.3420  0.32
Smith 1975   22  0.6716  0.0116  0.1010  0.5041  0.1230  0.24
Sokolov 2002   44  0.5617  0.0155  0.0363  0.0370  0.0370  0.03
Sztompka 1959   46  0.5588  0.0063  0.0370  0.0346  0.0754  0.05
Tomsic 1995   30  0.6450  0.0045  0.0545  0.0558  0.0459  0.04
Uninsky 1932   71  0.4375  0.0064  0.0373  0.0350  0.0564  0.04
Uninsky 1971   51  0.5229  0.0156  0.0362  0.0346  0.0662  0.04
Wasowski 1980   70  0.4486  0.0084  0.0285  0.0255  0.0468  0.03
Zak 1937   50  0.5355  0.0067  0.0369  0.0362  0.0558  0.04
Zak 1951   53  0.5262  0.0057  0.0456  0.0480  0.0373  0.03
Random 1   89  -0.0584  0.0090  0.0190  0.0172  0.0390  0.02
Random 2   90  -0.1090  0.0089  0.0289  0.0262  0.0389  0.02
Random 3   81  0.3276  0.0079  0.0368  0.031  0.6040  0.13

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).