mp_clarity

a dataframe in format of Manifesto Project Main Dataset

data

manifesto or election-specific weighting of the dimensions

weighting_kind

name of variable with party importance (likely its importance within an election) weighting (can be rmps, pervote)

weighting_source

rescale party importance weighting within elections to 0-1

auto_rescale_weight

rescale dimension variables to 0-1

auto_rescale_variables

dimensions to be used, must be in the format of the return value of <code><a rd-options="" href="/link/clarity_dimensions?package=manifestoR&version=1.5.0" data-mini-rdoc="manifestoR::clarity_dimensions">clarity_dimensions</a></code>

dimensions

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

Provides access to coded election programmes from the Manifesto
Corpus and to the Manifesto Project's Main Dataset and routines to analyse this
data. The Manifesto Project <https://manifesto-project.wzb.eu> collects and
analyses election programmes across time and space to measure the political
preferences of parties. The Manifesto Corpus contains the collected and
annotated election programmes in the Corpus format of the package 'tm' to enable
easy use of text processing and text mining functionality. Specific functions
for scaling of coded political texts are included.

Sven Regel

manifestoR

Access and Process Data and Documents of the Manifesto Project

Jirka Lewandowski

Nicolas Merz

Pola Lehmann

Paul Muscat

mp_clarity function

dimensions to be used, must be in the format of the return value of <code><a rd-options='' href='clarity_dimensions'>clarity_dimensions</a></code>

mp_clarity: Programmatic clarity measures (PC)

Description

Usage

Arguments

Value

References