findAssocs() is not working, as is seen below. "Lucid" and "dreaming" occur
together quite often in the book.
The corpus is a single document, the text version of a book. Does this
function require at least two documents? If so, if I split the book in half
will I get the correlations regarding the book as a whole, or in regards to how
the two halves compare to each other?
> docs <- tm_map(docs, stemDocument)
> dtm <- DocumentTermMatrix(docs)
> freq <- colSums(as.matrix(dtm))
> ord <- order(freq)
> freq[tail(ord)]
one experi will can lucid dream
287 312 363 452 1018 2413
> freq[head(ord)]
abbey abdomin abdu abraham absent abus
1 1 1 1 1 1
> findAssocs(dtm, "dream", corlimit=0.6)
$dream
numeric(0)
> findAssocs(dtm, "dream", corlimit=0.1)
$dream
numeric(0)
> findAssocs(dtm, "lucid", corlimit=0.01)
$lucid
numeric(0)
> findAssocs(dtm, "lucid", corlimit=0.6)
$lucid
numeric(0)
>
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