Graph linear model plots with sjPlots in R

This blog post will look at the plot_model() function from the sjPlot package. This plot can help simply visualise the coefficients in a model. Packages we need: We can look at variables that are related to citizens’ access to public services. This dependent variable measures equal access access to basic public services, such as access to security, primary education, clean water, and healthcare and whether … Continue reading Graph linear model plots with sjPlots in R

Examining speeches from the UN Security Council Part 1

Let’s look at how many speeches took place at the UN Security Council every year from 1995 until 2019. I want to only look at countries, not organisations. So a quick way to do that is to add a variable to indicate whether the speaker variable has an ISO code. Only countries have ISO codes, so I can use this variable to filter away all … Continue reading Examining speeches from the UN Security Council Part 1

Improve your visualizations with ggsave in R

When we save our plots and graphs in R, we can use the ggsave() function and specify the type, size and look of the file. We are going to look two features in particular: anti-aliasing lines with the Cairo package and creating transparent backgrounds. Make your graph background transparent First, let’s create a pie chart with a transparent background. The pie chart will show which … Continue reading Improve your visualizations with ggsave in R

Create a correlation matrix with GGally package in R

We can create very informative correlation matrix graphs with one function. Packages we will need: First, choose some nice hex colors. Next, we can go create a dichotomous factor variable and divide the continuous “freedom from torture scale” variable into either above the median or below the median score. It’s a crude measurement but it serves to highlight trends. Blue means the country enjoys high … Continue reading Create a correlation matrix with GGally package in R

Add circular flags to maps and graphs with ggflags package in R

Packages we will need: Click here to add rectangular flags to graphs and click here to add rectangular flags to MAPS! Apropos of this week’s US news, we are going to graph the number of different or autocoups in South America and display that as both maps and bar charts. According to our pals at the Wikipedia, a self-coup, or autocoup (from the Spanish autogolpe), is a form of … Continue reading Add circular flags to maps and graphs with ggflags package in R

BBC style graphs with bbplot package in R

Packages we will need: Click here to check out the vignette to read about all the different graphs with which you can use bbplot ! We will look at the Soft Power rankings from Portland Communications. According to Wikipedia, In politics (and particularly in international politics), soft power is the ability to attract and co-opt, rather than coerce or bribe other countries to view your … Continue reading BBC style graphs with bbplot package in R

Add weights to survey data with survey package in R: Part 1

With the European Social Survey (ESS), we will examine the different variables that are related to levels of trust in politicians across Europe in the latest round 9 (conducted in 2018). Click here for Part 2. Click here to learn about downloading ESS data into R with the essurvey package. Packages we will need: The survey package was created by Thomas Lumley, a professor from … Continue reading Add weights to survey data with survey package in R: Part 1

Add rectangular flags to maps in R

We will make a graph to map the different colonial histories of countries in South-East Asia! Click here to add circular flags. Packages we will need: I use the COLDAT Colonial Dates Dataset by Bastien Becker (2020). We will only need the first nine columns in the dataset: Next we will need to turn the dataset from wide to long with the reshape2 package: We … Continue reading Add rectangular flags to maps in R

Download European Social Survey data with essurvey package in R

The European Social Survey (ESS) measure attitudes in thirty-ish countries (depending on the year) across the European continent. It has been conducted every two years since 2001. The survey consists of a core module and two or more ‘rotating’ modules, on social and public trust; political interest and participation; socio-political orientations; media use; moral, political and social values; social exclusion, national, ethnic and religious allegiances; well-being, … Continue reading Download European Social Survey data with essurvey package in R

Download WorldBank data with WDI package in R

Use this package to really quickly access all the indicators from the World Bank website. With the WDIsearch() function we can look for the World Bank indicator that measures oil rents as a percentage of a country’s GDP. You can look at the World Bank website and browse all the indicators available. The output is: Copy the indicator string and paste it into the WDI() … Continue reading Download WorldBank data with WDI package in R