vanilla: Vanilla Scaling by Gabel & Huber
In manifestoR: Access and Process Data and Documents of the Manifesto Project

vanilla

R Documentation

Vanilla Scaling by Gabel & Huber

Description

Computes scores based on the Vanilla method suggested by Gabel & Huber. A factor analysis identifies the dominant dimension in the data. Factor scores using the regression method are then considered as party positions on this dominant dimension.

Usage

vanilla(
  data,
  vars = grep("per\\d{3}$", names(data), value = TRUE),
  invert = FALSE
)

Arguments

`data`	A data.frame with cases to be scaled, variables named "per..."
`vars`	variable names that should be used for the scaling (usually the variables per101,per102,...)
`invert`	invert scores (to change the direction of the dimension to facilitate comparison with other indices) (default is FALSE)

References

Gabel, M. J., & Huber, J. D. (2000). Putting Parties in Their Place: Inferring Party Left-Right Ideological Positions from Party Manifestos Data. American Journal of Political Science, 44(1), 94-103.

manifestoR documentation built on May 29, 2024, 6:02 a.m.