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.

Deze oefening maakt deel uit van de cursus

Case Study: Exploratory Data Analysis in R

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Oefeninstructies

Using arrange() and desc(), 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.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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

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