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Doing stylometric analysis on that Spokesman editorial at 2 AM because why not
Which, by the way, is another great reason why R is just better for data analysis than any other languages: it's the libraries stupid
Including https://github.com/computationalstylistics/stylo
Including https://github.com/computationalstylistics/stylo
Not expecting there to be enough data to make any hard statistical inferences, but the graphs can be fun
Using the methodology here [1], you can get closer to some claims of statistical significance though I should be noting I'm using a black box for these computations and don't understand relations to sample size requirements and this is a 2AM shitpost
[1] https://computationalstylistics.github.io/blog/imposters/
![Using the methodology here [1], you can get closer to some claims of statistical significance though I should be noting I'm using a black box for these computations and don't understand relations to sample size requirements and this is a 2AM shitpost[1] https://computationalstylistics.github.io/blog/imposters/](https://pbs.twimg.com/media/EWCanp_U0AAowpw.png "Using the methodology here [1], you can get closer to some claims of statistical significance though I should be noting I'm using a black box for these computations and don't understand relations to sample size requirements and this is a 2AM shitpost[1] https://computationalstylistics.github.io/blog/imposters/")
[1] https://computationalstylistics.github.io/blog/imposters/
Also get an interesting result if you use the top 2000 words instead of the top 200
