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SciencesPo (version 1.3.8)

A Tool Set for Analyzing Political Behavior Data

Description

Provides miscellaneous functions for carrying out political behaviour analysis, including measures of political fragmentation, seats allocation, and graphical demonstrations.

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Version

Install

install.packages('SciencesPo')

Monthly Downloads

120

Version

1.3.8

License

GPL (>= 2)

Maintainer

Daniel Marcelino

Last Published

October 19th, 2015

Functions in SciencesPo (1.3.8)

Griliches's (1976) Data

Pearson's Coefficient of Variation

Dirichlet distribution

Binomial cumulative distribution function

The Butterfly Curve

Calculate the Mode

Frequency table

Factors to numeric

A Tool Set For Analyzing Political Behavior Data

Method for Bootstrap

The Penn World Table

Scale data to an arbitrary range.

Binomial probability density function

Simple Random Imputation

Extraction of categorical values as a preprocessing step for making dummy variables

Bekaert's and Hodrick's (1993) Data

Bonett-Seier test of Geary's kurtosis

Gallagher index

Calculates and plots power of one sample

Return or Assign a Variable Label

Cox-Shugart measure of proportionality

Lijphart index of proportionality

Create a new Chart

Generate dummy variables

Confidence Intervals

Normal Cumulative Distribution

Christensen's and Greene's (1976) Data

Add new row to dataframe

Plot a barplot with ggplot2

Summarize MCMC output in a table-like

James-Stein shrunken estimates

Compute the Kurtosis

The Hamilton method of apportionment

Anscombe-Glynn test of kurtosis

Jarque-Bera test for normality

Wrapper for dbConnect

Mishkin's (1992) Data

Round numbers with no leading zero

Creates a temporary table in the database

Statistical description

Detect Outliers

Create k random permutations of a vector

Dirichlet distribution

Gini Simpson Index

Resamples Data Using the Jackknife Method

Johnson-Neyman Regression

Compute the Skewness

Calculate breaks Calculate breaks according to the Herbert Sturges' (1926) formula

Marc Nerlove's (1963) data

Scale colors for ggplot graphs

Word frequencies from Mosteller and Wallace

scale_colour_pub

Scale colors for ggplot graphs

Geary's test for normality

Find WWW Domains

Replace commas by dots

Method to Produce Descriptive Statistics Summary

ggplot2 Theme with No Background or Gridlines.

Stock's and Watson's (1993) Data.

Stratified Sampling

NY Weather 1995-2014

Galton's Family Data on Human Stature.

anderson.darling

Anderson-Darling test for normality

Variance Inflation Factor

Theme for mapping Theme for plotting with ggplot

Method for recoding

Calculates the Standard Error

Winsorized Mean

Cross-tabulation

Lothian's and Taylor's (1996) Data Set

politicalDiversity

Political Diversity Indices politicalDiversity is used to analyze political diversity in a unity or across them. It provides methods to estimate the Effective Number of Parties as well as other diversity measures.

Trim white spaces

List the Values of a Variable

Transform dependent variable

Jensen-Shannon Distance

Multiple ggplot objects

Simulates a Levy Walk

Voronoi diagram

Lilliefors (Kolmogorov-Smirnov) test for normality

randomized.block

Create Block-randomized designs

Reads zTree output files

Themes for ggplot graphs

Weighted Variance

The Measure of US Presidents

Inverse Cumulative Standard Normal Distribution

Linear model to equation style

Shades Normal Distribuion

Unity-based normalization

Add transparency

Normal probability density function

Number of observations

Same Sex Marriage Public Opinion Data

Stukel's test of the logistic link

Creates a pie chart using ggplot2.

Burt's twin data

Make the ggplot2 version of TS plots