mp_clarity: Programmatic clarity measures (PC)
In manifestoR: Access and Process Data and Documents of the Manifesto Project

mp_clarity

R Documentation

Programmatic clarity measures (PC)

Description

Computes party clarity measures suggested by Giebler/Lacewell/Regel/Werner 2015.

Usage

mp_clarity(
  data,
  weighting_kind = "manifesto",
  weighting_source = NULL,
  auto_rescale_weight = TRUE,
  auto_rescale_variables = TRUE,
  dimensions = clarity_dimensions()
)

Arguments

`data`	a dataframe in format of Manifesto Project Main Dataset
`weighting_kind`	manifesto or election-specific weighting of the dimensions
`weighting_source`	name of variable with party importance (likely its importance within an election) weighting (can be rmps, pervote)
`auto_rescale_weight`	rescale party importance weighting within elections to 0-1
`auto_rescale_variables`	rescale dimension variables to 0-1
`dimensions`	dimensions to be used, must be in the format of the return value of `clarity_dimensions`

Value

a vector of clarity values

References

Giebler, Heiko, Onawa Promise Lacewell, Sven Regel and Annika Werner. 2015. Niedergang oder Wandel? Parteitypen und die Krise der repraesentativen Demokratie. In Steckt die Demokratie in der Krise?, ed. Wolfgang Merkel, 181-219. Wiesbaden: Springer VS.

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