R: dfm from data in Table 1 of Laver, Benoit, and Garry (2003)

data_dfm_lbgexample {quanteda} | R Documentation

## dfm from data in Table 1 of Laver, Benoit, and Garry (2003)

### Description

Constructed example data to demonstrate the Wordscores algorithm, from Laver Benoit and Garry (2003), Table 1.

### Usage

    data_dfm_lbgexample

### 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, M., Benoit, K.R., & Garry, J. (2003). Estimating Policy Positions from Political Text using Words as Data. American Political Science Review, 97(2), 311–331.

[Package quanteda version 3.0.0 Index]