let me start by: the idea is a good one, but:
>>N - is the number of identical words.
You are writing here that the words found on both pages, compared is only N ?
So if you compare 104V and 115r there are only 93 words the same?
I do not have my data now, but is seems very low. What is a 'word' in your perception, 2 long or 1 character or...?
And do you count between the unique words MS-overall, or in the group uniques per page? (I assume you did that, cause it gives the lowest number)
The nicest you can do is:
Take all unique words in the MS. That is the (group MS-uniques)
Then compare each page or section against that
and make a weighted formula for the amount of those uniques (group page-uniques)
compared to the total volume of the text of that the page you compared towards the total volume of the MS overal.
Make a graph of that.
I expect that this will not reveal much, because the (group MS-uniques) versus the (group page-uniques) will be overall consistent.
However, if you build this clean and present it nicely it will show the differences where Currier talked about.
>>204!
You have no idea, but the result of that is:
1326057243693621217332951116794432419966106079326253461128571361896219220627592813941309056267893882766353579962753961259654835090125299420645464567948176773341405929566742723734451284877728373946503737685045475883370067891849358707528438515087100654429082243182025720274900300149415790281766550837429303812722914834538921053721492193280000000000000000000000000000000000000000000000000
>>N - is the number of identical words.
You are writing here that the words found on both pages, compared is only N ?
So if you compare 104V and 115r there are only 93 words the same?
I do not have my data now, but is seems very low. What is a 'word' in your perception, 2 long or 1 character or...?
And do you count between the unique words MS-overall, or in the group uniques per page? (I assume you did that, cause it gives the lowest number)
The nicest you can do is:
Take all unique words in the MS. That is the (group MS-uniques)
Then compare each page or section against that
and make a weighted formula for the amount of those uniques (group page-uniques)
compared to the total volume of the text of that the page you compared towards the total volume of the MS overal.
Make a graph of that.
I expect that this will not reveal much, because the (group MS-uniques) versus the (group page-uniques) will be overall consistent.
However, if you build this clean and present it nicely it will show the differences where Currier talked about.
>>204!
You have no idea, but the result of that is:
1326057243693621217332951116794432419966106079326253461128571361896219220627592813941309056267893882766353579962753961259654835090125299420645464567948176773341405929566742723734451284877728373946503737685045475883370067891849358707528438515087100654429082243182025720274900300149415790281766550837429303812722914834538921053721492193280000000000000000000000000000000000000000000000000