classic.wordscores: Old-Style Wordscores
In austin: A package for doing things with words

Description Usage Arguments Details Value Author(s) References See Also Examples

Construct a Wordscores model from reference document scores

1	classic.wordscores(wfm, scores)

`wfm`	object of class wfm
`scores`	reference document positions/scores

This version of Wordscores is exactly as described in Laver et al. 2003 and is provided for historical interest and continued replicability of older analyses.

scores is a vector of document scores corresponding to the documents in the word frequency matrix wfm. The function computes wordscores and returns a model from which virgin text scores can be predicted.

An old-style Wordscores analysis.

Will Lowe

Laver, M. and Benoit, K. and Garry, J. (2003) 'Extracting policy positions from political texts using words as data' American Political Science Review. 97. pp.311-333

summary.classic.wordscores

data(lbg)
ref <- getdocs(lbg, 1:5)
ws <- classic.wordscores(ref, scores=seq(-1.5,1.5,by=0.75))
summary(ws)
vir <- getdocs(lbg, 'V1') 
predict(ws, newdata=vir)