R and Google plots not lining up about ngramr HOT 4 CLOSED

It looks as though something unusual is happening as a result of the inverted commas. If you have a look at the Google ngram viewer page linked to below, you'll see the same result as the ngramr code generates.

https://books.google.com/ngrams/graph?content=international+institutions%2Cinternational+order%2Cinternational+regimes&year_start=1900&year_end=2019&corpus=26&smoothing=2

Note that this chart is case sensitive, so will not include the variants with the i's capitalised.

I'm not sure exactly what is happening with the ngram chart you've created directly in the Google viewer, but I note there are warning messages displayed, including

Replaced "international order" with " international order " to match how we processed the books.

Also, the frequencies in the inverted comma chart are far lower (by two orders of magnitude) than in the chart without inverted commas, so it looks as though it's missing a lot of cases. I would therefore suggest that the results you are getting from the ngramr code are in fact more accurate. To ensure that you get a case insensitive search you can use the parameters case_ins=TRUE and aggregate=TRUE (without the latter the data will split, for example, 'international institutions' and 'International institutions' separately).

As an aside, the sample code is a little long-winded and you can instead use something like this:

ggram(c("international order", "international institutions", "international regimes"),
      year_start=1900, year_end=2019, smoothing=2, case_ins=TRUE, aggregate=TRUE)

or

data_long <- ngram(c("international order", "international institutions", "international regimes"), 
                   year_start=1900, year_end=2019, smoothing=2, case_ins=TRUE, aggregate=TRUE)
ggram(data_long)

While that doesn't completely clarify what is going on, with any luck this enough to keep you going. Let me know how you go.

from ngramr.

Let me take a look and get back to you...

from ngramr.

Ah, fantastic, thanks so much. I had no idea that the ngram interface was so fragile. Noted for future reference, and thanks for a really cool and easy-to-use package (easier than the ngram viewer itself, it turns out....)

from ngramr.

No problem. Happy to help! I hadn't realised this particular peculiarity myself. I'm also conscious that the fragility of the interface can translate to fragility of the package since it just scrapes calls to the web page.

This comparison highlights more clearly the difference between searches with and without inverted commas:

https://books.google.com/ngrams/graph?content=%22international+institutions%22%2Cinternational+institutions&year_start=1800&year_end=2019&corpus=26&smoothing=3&direct_url=t1%3B%2C%22%20international%20institutions%20%22%3B%2Cc0%3B.t1%3B%2Cinternational%20institutions%3B%2Cc0

from ngramr.