An R package for accessing and processing the Manifesto Project's Data and Corpus of election programmes.
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. See https://manifesto-project.wzb.eu for additional tutorials, documentation, data, and election programmes.
Quick Start Guide
You can install the package from CRAN:
Then a typical script or session with
manifestoR starts like this:
library(manifestoR) mp_setapikey("manifesto_apikey.txt") ## create and download your API key at https://manifesto-project.wzb.eu before ## download election programmes texts and codings election_programmes <- mp_corpus(countryname == "Bulgaria") ## for example: head(content(election_programmes[])) ## view beginning of text of first manifesto table(codes(election_programmes)) ## count codes of all manifestos ## ...
The main user documentation is the vignette
manifestoRworkflow. It walks you
through the package's central functions giving many example code bits. For detailed
information about all functions and parameters, pleaser refer to the functions'
documentations with R's
? or the packages Reference Manual.
If you want to contribute to the development of
manifestoR by reporting bugs,
proposing features or writing program code, you are invited to do this on the
package's github page: https://github.com/ManifestoProject/manifestoR.
Developers, please also note the information on packing and testing
Alternative versions and installation methods
Stable major versions of
manifestoR will be provided on CRAN, such that you can install
and update them via R's base functions
A development version is available on github, which you can install to get the most recent
features and bugfixes.
Installation from github
Note that the
NAMESPACE file and documentation are not part of the github
repository, since they are generated automatically. Hence installation with
install_github is not possible. Instead, you can clone the master branch of
the repository and a
Makefile will come with the source code.
make install packs and installs the package (and documentation) to your default
R installation, requiring
devtools to be installed.
Developing: from a local source copy
The Makefile in the github repository contains several other targets helpful for developing:
make all) packs the package (and documentation) to a tarball in the parent directory.
You can run the tests provided together with the source code with
make test. Note that this
requires a file with a valid Manifesto Project DB API Key in the file
make check checks the package.
To pack the source and documentation from this folder into a package tarball your system needs to have installed:
- R packages
- R packages