17-11-2019, 10:55 AM
(16-11-2019, 10:40 PM)ReneZ wrote: You are not allowed to view links. Register or Login to view.(16-11-2019, 10:33 PM)Torsten wrote: You are not allowed to view links. Register or Login to view.You obviously didn't understand my comment (see stats.stackexchange.com).
I am afraid that you don't have the slightest idea what I understand or don't understand.
I prefer a more constructive way of discussing.
Please excuse my hasty words, I did not want to sound that mean.
My point is that I find it hard to interpret the outcome of the Pearson Correlation test for percent values. For instance the correlation coefficient for the percentage values for Quire13 and 20 is +0.71 whereas the result for the token frequencies is +0.58. But what does the value of +0.71 mean? The value is even higher as the value for Quire 13 alone.
Pearson's Correlation(percent(chedy[400]@Quire13+20), percent(shedy[360]@Quire13+20)): +0.71 (n= 43 folios,p=4.23E-05)
Pearson's Correlation(chedy[400]@Quire13+20, shedy[360]@Quire13+20): +0.58 (n= 43 folios,p=4.23E-05)
Pearson's Correlation(percent(chedy[210]@Quire13), percent(shedy[247]@Quire13)): +0.68 (n= 20 folios)
Pearson's Correlation(chedy[210]@Quire13, shedy[247]@Quire13): +0.76 (n=20 folios)
Pearson's Correlation(percent(chedy[190]@Quire20), percent(shedy[113]@Quire20)): +0.12 (n=23 folios)
Pearson's Correlation(chedy[190]@Quire20, shedy[113]@Quire20): +0.3 (n=23 folios)


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