UN_voting_modelling.Rmd

---
title: "UN_voting_modelling"
output: html_document
date: "2022-12-13"
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

```{r}
library(broom)
library(purrr)
```

```{r}
# Nest by country
nest_by_country <- voting_by_country_year %>%
  nest(-Countryname)
```

```{r}
# Quantify trends through modelling with linear regressions finding a "best-fit-line" for each countries

# Get country coefficients for each country
country_coefficients <- voting_by_country_year %>%
  nest(-Countryname) %>%
  mutate(model = map(data, ~ lm(percent_yes ~ year, data = .)),
         tidied = map(model, tidy)) %>%
  unnest(tidied)

country_coefficients
```

```{r}
# Filter for only statistically significant trends

filtered_countries <- country_coefficients %>%
  filter(term == "year") %>%
  mutate(p.adjusted = p.adjust(p.value)) %>%
  filter(p.adjusted < .05)
```


```{r}
# Sort for the countries increasing most quickly
filtered_countries %>%
    arrange(desc(estimate))

# Sort for the countries decreasing most quickly
filtered_countries %>%
    arrange(estimate)
```