Sorting by slope
Now that you've filtered for countries where the trend is probably not due to chance, you may be interested in countries whose percentage of "yes" votes is changing most quickly over time. Thus, you want to find the countries with the highest and lowest slopes; that is, the estimate
column.
Cet exercice fait partie du cours
Case Study: Exploratory Data Analysis in R
Instructions
- Using
arrange()
anddesc()
, sort the filtered countries to find the countries whose percentage "yes" is most quickly increasing over time. - Using
arrange()
, sort to find the countries whose percentage "yes" is most quickly decreasing.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Filter by adjusted p-values
filtered_countries <- country_coefficients %>%
filter(term == "year") %>%
mutate(p.adjusted = p.adjust(p.value)) %>%
filter(p.adjusted < .05)
# Sort for the countries increasing most quickly
# Sort for the countries decreasing most quickly