Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.4575  0.0045  0.0454  0.0433  0.1669  0.08
Anderszewski 2003   35  0.496  0.0310  0.119  0.429  0.529  0.47
Ashkenazy 1981   23  0.5324  0.0114  0.0610  0.4019  0.4016  0.40
Bacha 2000   81  0.2648  0.0074  0.0380  0.0329  0.3357  0.10
Badura 1965   47  0.4661  0.0066  0.0377  0.0330  0.2664  0.09
Barbosa 1983   46  0.4662  0.0054  0.0459  0.0438  0.2461  0.10
Biret 1990   67  0.3669  0.0064  0.0373  0.0331  0.2470  0.08
Blet 2003   42  0.4759  0.0047  0.0548  0.0529  0.2948  0.12
Block 1995   13  0.5410  0.0212  0.0616  0.373  0.6010  0.47
Blumental 1952   80  0.3064  0.0075  0.0287  0.0247  0.0587  0.03
Boshniakovich 1969   29  0.5051  0.0032  0.0632  0.239  0.5819  0.37
Brailowsky 1960   34  0.4979  0.0044  0.0543  0.1014  0.4341  0.21
Bunin 1987   16  0.5384  0.0015  0.0614  0.3812  0.4613  0.42
Bunin 1987b   17  0.5336  0.0016  0.0715  0.3812  0.4612  0.42
Chiu 1999   37  0.4839  0.0070  0.0452  0.0443  0.1371  0.07
Cohen 1997   78  0.3038  0.0082  0.0460  0.0446  0.0679  0.05
Cortot 1951   69  0.3546  0.0079  0.0384  0.0338  0.1675  0.07
Csalog 1996   86  0.1856  0.0084  0.0385  0.0356  0.0683  0.04
Czerny 1949   33  0.4949  0.0027  0.0526  0.2615  0.5617  0.38
Czerny 1990   32  0.5068  0.0035  0.0631  0.2423  0.2834  0.26
Duchoud 2007   61  0.3980  0.0060  0.0450  0.0444  0.0977  0.06
Ezaki 2006   8  0.5660  0.0022  0.0819  0.3327  0.2930  0.31
Falvay 1989   25  0.5257  0.0033  0.0634  0.2019  0.3236  0.25
Farrell 1958   74  0.3386  0.0078  0.0378  0.0331  0.2563  0.09
Ferenczy 1958   76  0.3283  0.0081  0.0379  0.0334  0.1774  0.07
Fliere 1977   7  0.5622  0.0121  0.0718  0.3523  0.3720  0.36
Fou 1978   20  0.5326  0.0120  0.0721  0.3226  0.3822  0.35
Francois 1956   28  0.5132  0.0019  0.0725  0.2614  0.4428  0.34
Friedman 1923   85  0.2142  0.0087  0.0458  0.0453  0.0680  0.05
Friedman 1923b   84  0.2272  0.0086  0.0457  0.0460  0.0584  0.04
Friedman 1930   58  0.4028  0.0171  0.0372  0.0336  0.2168  0.08
Garcia 2007   71  0.3415  0.0173  0.0370  0.037  0.6445  0.14
Garcia 2007b   82  0.2677  0.0085  0.0374  0.0349  0.0585  0.04
Gierzod 1998   53  0.4381  0.0048  0.0547  0.0519  0.2849  0.12
Gornostaeva 1994   18  0.5319  0.0111  0.0811  0.3913  0.4414  0.41
Groot 1988   19  0.5344  0.0017  0.0720  0.3219  0.3824  0.35
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   75  0.3333  0.0050  0.0367  0.0325  0.2865  0.09
Hatto 1997   77  0.3027  0.0128  0.0644  0.1024  0.2943  0.17
Horowitz 1949   39  0.4818  0.0137  0.0637  0.1813  0.3933  0.26
Indjic 1988   79  0.3070  0.0053  0.0464  0.0425  0.2760  0.10
Kapell 1951   44  0.4721  0.0123  0.0633  0.2311  0.4926  0.34
Kissin 1993   26  0.5117  0.0131  0.0627  0.2425  0.3232  0.28
Kushner 1989   36  0.4974  0.0039  0.0536  0.1832  0.2242  0.20
Luisada 1991   41  0.4752  0.0046  0.0461  0.0430  0.2852  0.11
Lushtak 2004   11  0.5547  0.0029  0.0522  0.3119  0.4318  0.37
Malcuzynski 1961   3  0.591  0.281  0.272  0.563  0.602  0.58
Magaloff 1978   22  0.5354  0.007  0.1013  0.3815  0.3521  0.36
Magin 1975   27  0.5176  0.0025  0.0623  0.2912  0.4125  0.34
Michalowski 1933   51  0.4343  0.0058  0.0453  0.0434  0.2659  0.10
Milkina 1970   45  0.4637  0.0030  0.0530  0.248  0.4629  0.33
Mohovich 1999   6  0.5720  0.019  0.146  0.468  0.596  0.52
Moravec 1969   56  0.4140  0.0051  0.0462  0.0426  0.2558  0.10
Morozova 2008   21  0.5345  0.0038  0.0440  0.1450  0.0567  0.08
Neighaus 1950   4  0.582  0.092  0.191  0.562  0.651  0.60
Niedzielski 1931   83  0.2553  0.0083  0.0368  0.0329  0.1772  0.07
Ohlsson 1999   52  0.435  0.0352  0.0449  0.0441  0.1273  0.07
Osinska 1989   31  0.508  0.0241  0.0435  0.1919  0.3335  0.25
Pachmann 1927   62  0.3865  0.0057  0.0545  0.0525  0.3446  0.13
Paderewski 1930   55  0.4135  0.0069  0.0465  0.0435  0.1766  0.08
Perlemuter 1992   2  0.6313  0.028  0.128  0.425  0.627  0.51
Pierdomenico 2008   30  0.5087  0.0043  0.0639  0.1615  0.3937  0.25
Poblocka 1999   70  0.3571  0.0061  0.0371  0.0346  0.0581  0.04
Rabcewiczowa 1932   50  0.4429  0.0149  0.0455  0.0416  0.5044  0.14
Rachmaninoff 1923   40  0.4858  0.0026  0.0828  0.2419  0.3931  0.31
Rangell 2001   54  0.4130  0.0142  0.0542  0.1316  0.3740  0.22
Richter 1976   10  0.559  0.0213  0.0617  0.364  0.4515  0.40
Rosen 1989   38  0.4850  0.0040  0.0441  0.1422  0.3539  0.22
Rosenthal 1930   65  0.3711  0.0263  0.0466  0.0428  0.3650  0.12
Rosenthal 1931   60  0.3989  0.0065  0.0369  0.0318  0.4454  0.11
Rosenthal 1931b   68  0.3673  0.0067  0.0375  0.0317  0.4256  0.11
Rosenthal 1931c   64  0.3716  0.0162  0.0376  0.0325  0.3362  0.10
Rosenthal 1931d   73  0.3388  0.0068  0.0451  0.0417  0.3651  0.12
Rossi 2007   57  0.4166  0.0080  0.0381  0.0312  0.3753  0.11
Rubinstein 1939   87  0.1541  0.0077  0.0383  0.0345  0.0682  0.04
Rubinstein 1952   63  0.3714  0.0255  0.0463  0.0438  0.1476  0.07
Rubinstein 1966   72  0.3478  0.0056  0.0456  0.0428  0.3155  0.11
Schilhawsky 1960   9  0.5534  0.0034  0.0529  0.247  0.5223  0.35
Shebanova 2002   59  0.3955  0.0076  0.0286  0.0254  0.0686  0.03
Smith 1975   1  0.664  0.083  0.153  0.525  0.573  0.54
Sokolov 2002   12  0.557  0.036  0.094  0.492  0.565  0.52
Sztompka 1959   48  0.4663  0.0059  0.0546  0.0531  0.2847  0.12
Tomsic 1995   5  0.5812  0.025  0.127  0.454  0.588  0.51
Uninsky 1932   14  0.5425  0.0124  0.0624  0.2714  0.4327  0.34
Uninsky 1971   24  0.523  0.084  0.135  0.475  0.614  0.54
Wasowski 1980   66  0.3631  0.0172  0.0382  0.0346  0.0778  0.05
Zak 1937   43  0.4767  0.0036  0.0638  0.1720  0.3838  0.25
Zak 1951   15  0.5423  0.0118  0.0612  0.389  0.5211  0.44
Random 1   90  -0.0782  0.0090  0.0190  0.0168  0.0389  0.02
Random 2   89  -0.0790  0.0088  0.0288  0.0281  0.0288  0.02
Random 3   88  -0.0785  0.0089  0.0189  0.0178  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).