Corruption indicators and their correlations

cheaters.r

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#####       Author: Diego Valle Jones
#####       Website: www.diegovalle.net
#####       Date Created: Thu Feb 18 19:34:27 2010
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#Corruption indicators and their correlations

library(ggplot2)

grid.newpage()
pushViewport(viewport(layout =  grid.layout(nrow = 2, ncol = 2)))

subplot <- function(x, y) viewport(layout.pos.row = x,
                                   layout.pos.col = y)

#The corruption data is from transparency international
#The gdp from the INEGI
#The percentage of cheaters from ENLACE
cheats <- read.csv("http://spreadsheets.google.com/pub?key=tdkgy7KPm-mKN9rWa0ryIPA&single=true&gid=0&output=csv")
print(ggplot(cheats2, aes(V1, log((gdp * 1000000) / pop),
       label = Abbrv)) +
             geom_text() +
             geom_smooth(method=lm) +
             scale_x_continuous(formatter = "percent") +
             ylab("log GDP per capita") +
             xlab("Enlace cheaters"),
      vp = subplot(2, 1))

#exclude Campeche and Tabasco because they've got oil
cheats2 <- cheats[-c(4,27),]
print(ggplot(cheats2, aes(X2007, log((gdp * 1000000) / pop),
       label = Abbrv)) +
             geom_text() +
             geom_smooth(method = lm) +
             xlab("Corruption Index") +
             ylab("log GDP per capita"),
      vp = subplot(2, 2))
summary(lm(I(log(gdp*1000000) / pop) ~ X2007, data = cheats2))

print(ggplot(cheats, aes(X2007, V1,
       label = Abbrv)) +
            geom_text() +
            scale_y_continuous(formatter = "percent") +
            geom_smooth(method=lm) +
            xlab("Corruption Index") +
            ylab("Enlace cheaters"),
    vp = subplot(1, 1))


cheats$State <- with(cheats, reorder(factor(State), V1))
print(ggplot(cheats, aes(V1, State)) +
             geom_point() +
             scale_x_continuous(formatter = "percent") +
             xlab("Enlace cheaters"),
      vp = subplot(1, 2))

dev.print(png, "cheats.png", width=600, height=650)