22-02-2020, 09:09 AM
I think my misunderstanding is in how you calculated NRed and NQuasi. Aren't these numbers supposed to be independent counts of different things? In your first post you said
So I assumed that Nred and Nquasi are two independent counts that don't have anything to do with one another. (IE the number of times they both appear in the corpus).
But they are percentages of a total count number C which is always >nRed<nQuasi. So NQuasi is always a fixed multiple of NRed (although the fixed multiple changes from section to section).
It doesn't matter what n.Quasi is set to, the ratio is always the same. You could set n.Quasi to 5000 in _Herbal_B, the equation %red = %quasi/(n.Quasi/n.Red) is always true.
It's easy to test: If %red = %quasi/(n.Quasi/n.Red)
your _Herbal_B data (with a value of C calculated to be 32.53 which is the closest I could get:
C NRed %Red NQuasi %Quasi
32.53 20 0.612 63 1.928
20/32.53 63/32.53
so 0.612 = 1.928(63/20) or to put it another way NQuasi/c = (Nred/c)*(NQuasi/NRed) | 63=20*3.15
They are not independent counts of different things, as I first assumed.
(What is the value of C for each row? It's not in your first count table.)
Right, reading this post again it doesn't make much sense!!!! My real question:
- What is C for each section? And how do the counts N.red and N.quasi relate to it?
BTW, my OpenOffice gives 0.476 for CORREL(%red;%quasi) using your data. I attach the spreadsheet here:
marcoP_quick_test.ods (Size: 11.26 KB / Downloads: 20)
(20-02-2020, 04:21 PM)MarcoP wrote: You are not allowed to view links. Register or Login to view.By perfect-reduplication, I mean the exact consecutive repetition of the same word: e.g. daiin.daiin
By quasi-reduplication, I mean two consecutive words that are very similar to each other: e.g. qokedy.qokey
So I assumed that Nred and Nquasi are two independent counts that don't have anything to do with one another. (IE the number of times they both appear in the corpus).
But they are percentages of a total count number C which is always >nRed<nQuasi. So NQuasi is always a fixed multiple of NRed (although the fixed multiple changes from section to section).
It doesn't matter what n.Quasi is set to, the ratio is always the same. You could set n.Quasi to 5000 in _Herbal_B, the equation %red = %quasi/(n.Quasi/n.Red) is always true.
It's easy to test: If %red = %quasi/(n.Quasi/n.Red)
your _Herbal_B data (with a value of C calculated to be 32.53 which is the closest I could get:
C NRed %Red NQuasi %Quasi
32.53 20 0.612 63 1.928
20/32.53 63/32.53
so 0.612 = 1.928(63/20) or to put it another way NQuasi/c = (Nred/c)*(NQuasi/NRed) | 63=20*3.15
They are not independent counts of different things, as I first assumed.
Quote:Let's call C the total number of couples in a sample:
(a1) %red = n.Red/C
(a2) %quasi = n.Quasi/C
(What is the value of C for each row? It's not in your first count table.)
Right, reading this post again it doesn't make much sense!!!! My real question:
- What is C for each section? And how do the counts N.red and N.quasi relate to it?
BTW, my OpenOffice gives 0.476 for CORREL(%red;%quasi) using your data. I attach the spreadsheet here:
marcoP_quick_test.ods (Size: 11.26 KB / Downloads: 20)

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