quanteda (version 0.9.2-0)

LBGexample: dfm containing example data from Table 1 of Laver Benoit and Garry (2003)

Description

Example data to demonstrate the Wordscores algorithm, from Laver Benoit and Garry (2003)

format

A dfm object with 6 documents and 37 features

Details

This is the example word count data from Laver, Benoit and Garry's (2003) Table 1. Documents R1 to R5 are assumed to have known positions: -1.5, -0.75, 0, 0.75, 1.5. Document V1 is assumed unknown, and will have a raw text score of approximately -0.45 when computed as per LBG (2003).

References

Laver, Michael, Kenneth Benoit, and John Garry. 2003. "http://www.kenbenoit.net/pdfs/WORDSCORESAPSR.pdf{Estimating policy positions from political text using words as data.}" American Political Science Review 97(2): 311-331.