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Why PolicyPortfolios? A policy portfolio is a collection of simple assessments of the presence or absense of state intervention in a specific area (Target) using a concrete state capacity (Instrument). How specific or general the area is, is up to the researcher. How broad or restricted is the collection of assessments is also up to the researcher (Adam, Knill, and Fernandez-i-Marín 2017). Using policy portfolios as objects of analysis allows political science to standardize comparitive policy analysis by providing a common ground of policy intervention, and represents a first step of comparing state intervention in different fields of public life.

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PolicyPortfolios is an R package aimed at providing tools for managing, measuring and visualizing policy portfolios. It simplifies the creation of data structures suitable for dealing with policy portfolios, that is, two-dimensional spaces of policy instruments and policy targets. It allows to generates measures of their characteristics and facilitates its visualization. Development PolicyPortfolios is developed in github. Raise an issue, being either a bug report, a question on how to use specific functions, a request for improvement, a clarification, ask for documentation or provide ideas.

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ggmcmc is an R package aimed at providing tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables. Development ggmcmc is developed in github and has attracted attention from several fields of science. Raise an issue, being either a bug report, a question on how to use specific functions, a request for improvement, a clarification, ask for documentation or provide ideas.

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Introduction This tutorial shows how to process the dataset of institutional characteristics of regulatory agencies in R. It presents the dataset presented at the journal article entitled “Agency proliferation and the globalization of the regulatory state: Introducing a data set on the institutional features of regulatory agencies”, by Jacint Jordana, Xavier Fernández-i-Marín and Andrea C. Bianculli, published at Regulation & Governance (December 2018). The necessary packages in R to follow the instructions are the following:

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There is a pdf version of Using the ggmcmc package. Why ggmcmc? ggplot2, based on the grammar of graphics (Wilkinson et al. 2005), empowers R users by allowing them to flexibly crate graphics (Wickham 2009). Based on this idea, ggmcmc is aimed at bringing the design and implementation of ggplot2 to MCMC diagnostics, allowing Bayesian inference users to have better and more flexible visual diagnostic tools. ggplot2 is based on the idea that the input of any graphic is a data frame mapped to aesthetic attributes (colour, size) of geometric objects (points, lines).

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L'iec.sh és un guió de bash preparat per la terminal amb la finalitat d'accedir per línia de comandes al diccionari de l'Institut d'Estudis Catalans.

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Material For any search related to R it is important to first take a look at the main page of the R-project http://www.r-project.org/. This is the main place to start looking for any documentation and help. There is an important section in this project website: CRAN (Comprehensive R Archive Network). This is the place from where it is possible to get the source code of the program and the extensions available as packages.

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Materials Per a qualsevol cerca relacionada amb R cal accedir primer de tot a la pàgina principal del projecte: http://www.r-project.org/. En aquest lloc podreu trobar tot tipus de documentació i ajut relacionat amb el projecte. Un apartat relativament separat del lloc del projecte però igualment important és CRAN (Comprehensive R Archive Network). És l'espai des d'on es pot accedir al codi font del programa i de les extensions en forma de paquets que l'acompanyen.

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st_coeffs.pl is a perl script that processes coefficients from logistic regression in SPSS and produces standardized coefficients.

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stata_logistic.pdf is an introductory tutorial to perform logistic regression with Stata.

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