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\documentclass{beamer}
%
\usepackage{graphicx} % Required for including images
\usepackage[font=small,labelfont=bf]{caption} % Required for specifying captions to tables and figures
% Choose how your presentation looks.
%
% For more themes, color themes and font themes, see:
% http://deic.uab.es/~iblanes/beamer_gallery/index_by_theme.html
%
\mode<presentation>
\usetheme{Warsaw} % or try Darmstadt, Madrid, Warsaw, ...\textbf{\(\(\(\)\)\)}}
\usecolortheme{beaver} % or try albatross, beaver, crane, ...
\usefonttheme{serif} % or try serif, structurebold, ...
\setbeamertemplate{navigation symbols}{}
\setbeamertemplate{caption}[numbered]
\setbeamercolor{block title}{use=structure,fg=white,bg=red!75!black}
\setbeamercolor{block body}{use=structure,fg=black,bg=red!10!white}
\usepackage{ragged2e}
\usepackage{hyperref}
\usepackage[english]{babel}
\usepackage[utf8x]{inputenc}
\usepackage{graphicx}
\usepackage[font=small,labelfont=bf]{caption} % Required for specifying captions to tables and figures
\usepackage{tikz} %Required for drawing graphs%
\usepackage[osf,sc]{mathpazo} %%To make math non-italic
\usepackage{eulervm}
\title[Fording differences?]{Fording differences? Conditions mitigating water insecurity in the Niger River Basin}
\author[Landis et al.(2016) ]{Steven T. Landis \\
Babak RezaeeDaryakenari \\
Yifan Zhang\\
Cameron G. Thies\\
Ross Maciejewski
}
\institute{School of Politics \& Global Studies \\[\medskipamount]
Arizona State University \\
\texttt{\textcolor{blue}{Steven.Landis@asu.edu}}
}
\small\date{Political Geography 2016}
\defbeamertemplate*{footline}{shadow theme}
{%
\leavevmode%
\hbox{\begin{beamercolorbox}[wd=.5\paperwidth,ht=2.5ex,dp=1.125ex,leftskip=.3cm plus1fil,rightskip=.3cm]{author in head/foot}%
\usebeamerfont{author in head/foot}\insertframenumber\,/\,\inserttotalframenumber\hfill\insertshortauthor
\end{beamercolorbox}%
\begin{beamercolorbox}[wd=.5\paperwidth,ht=2.5ex,dp=1.125ex,leftskip=.3cm,rightskip=.3cm plus1fil]{title in head/foot}%
\usebeamerfont{title in head/foot}\insertshorttitle%
\end{beamercolorbox}}%
\vskip0pt%
}
\begin{document}
\SweaveOpts{concordance=TRUE}
\begin{frame}
\titlepage
\end{frame}
\begin{frame}{Table of contents}
\tableofcontents
\end{frame}
\section{Research question}
\begin{frame}{Research question}
\begin{itemize}
\item How conflict and religion are associated?
\item \textcolor{red}{The literature:} Religion $\Rightarrow$conflict; Using ``the content and nature of religion itself to explain correlations between religious conflicts and their dynamics and outcomes". For example, Islam, Sunni, Shia, ...\pause
\item Are religious identities and ideologies given, fixed, and predictive of behavior? \pause
\item \textcolor{red}{This study:} Constructivisim and instrumentalism $\Rightarrow$ religious identity malleable and is manipulable by powerholders/ politicians /elites \pause
\item Thus, this paper challenges "religion-centric" explanations of "[religious] conflicts", and leads us toward an "actor-centric, instrumentalist" approach.
\end{itemize}
\end{frame}
\section{Theoretical Discussions}
\begin{frame}{Hypotheses \& implications}
\begin{block}{Hypothesis 1.a}
The incidence of political violence from water insecurity decreases as the density of secondary road networks increase.
\end{block}\pause
\begin{block}{Hypothesis 1.b}
The incidence of political violence from water insecurity increases as the density of secondary road networks increase.
\end{block}\pause
\begin{block}{Hypothesis 2}
The incidence of political violence from water insecurity increases as the distance from the Niger River increases.
\end{block}
\end{frame}
\section{Empirical Results}
\begin{frame}{Graphs}
<<echo=FALSE>>=
library("ggplot2")
mydata<-read.csv("C:/Users/srezaeed/Desktop/GB_FRED_cpi_2007.csv")
mydata$ExpenditureDebtRatio<-mydata$ExpenditureGDP/mydata$DebtGDP
mydata$ExpenditureDebtRatio<-mydata$DebtGDP/mydata$ExpenditureGDP
mydata$condition <-ifelse(mydata$ExpenditureDebtRatio > 0.5,c("Bad"), c("Good"))
@
\begin{center}
<<echo=FALSE, fig=TRUE>>=
qplot(deflator, cpi_change, data=mydata, main="Scatterplot", xlab="GDP Deflator", ylab="Change in Customer Price Index")+ coord_fixed(ratio = 0.45)
@
\end{center}
\end{frame}
\begin{frame}
<<echo=FALSE>>=
library(xtable)
lm1 <- lm(ExpenditureDebtRatio ~ cpi_change+senate_dems+senate_rep, data = mydata)
@
<<echo=FALSE, print=FALSE, results=tex>>=
print(xtable(lm1),floating=FALSE)
@
\captionof{table}{You can the title of this table here!}
\end{frame}
\end{document}