sig: Return the signatures from a matrix
In michaelgavin/empson: Vector-space modeling for historical documents

Description Usage Arguments Value What it does Examples

Prints the sorted values from a term-document or word-context matrix

1	sig(mat, keyword, margin = 1, fullResults = F)

`mat`	A term-document or word-context matrix.
`keyword`	The term you are evaluating, either a keyword or document name.
`margin`	Numeric value: 1 or 2. If 1, calculations are performed over the rows. If 2, over the columns.
`fullResults`	Logical value. Default is false.

If fullResults is true, all results are included in a full-length vector. If false, only the 12 top words will display.

Sorts and prints the most frequent collocates for words and documents. In a term- document matrix, it will return either the word counts for a document or the top documents for a given word.

In a word-context matrix, the relationship is similar. Selecting margin = 2 will find the keyword's column, then return the word counts of the concordance for that term (assuming that it was among the keywords used to build the matrix). Selecting margin = 1 will return the keyword's row, showing in which concordances it had the highest representation.

For comparison, see the example of 'rights' given below.

# For most frequent collocates in a word-context matrix
data(eebo)
sig(mat = eebo, keyword = "rights", margin = 1)
sig(eebo, "rights", margin = 2)

# For most frequent words in a document
data(shakespeare)
sig(mat = shakespeare, vec = "TN", margin = 2)
sig(shakespeare, "wife", margin = 1)