findAssocs() is not working, as is seen below. "Lucid" and "dreaming" occur together quite often in the book.
> 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=0.1) $lucid numeric(0) > findAssocs(dtm, "lucid", corlimit=0.6) $lucid numeric(0) >
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?