Plot imprinting probabilities for a single country and year — plot_one_country

Generate a stacked barplot, where each bar represents a birth cohort, and the colors within the bar show the probabilities that someone born in that cohort has a particular imprinting status. If the data frame contains more than one country or observation year, the first country-year is plotted by default. Specify other countries and years using the country and year options.

Usage

plot_one_country_year(imprinting_df, country = NULL, year = NULL)

Arguments

imprinting_df: A long data frame of imprinted probabilities output by get_imprinting_probabilities(). If the data frame contains more than one country and year, on the first will be plotted.
country: An optional country name to plot. The input country name must exist in the imprinting_df.
year: Similar to country, and optional input specifying the year for which to plot.

Value

No return value. Opens a plot of the data frame.

Examples

# Generate imprinting probabilities for one country and year
imprinting_df <- get_imprinting_probabilities(
  observation_years = 1920,
  countries = "Aruba"
)
plot_one_country_year(imprinting_df)


# If we generate probabilities for more than one country and year,
imprinting_df <- get_imprinting_probabilities(
  observation_years = c(1922, 1925),
  countries = c(
    "Algeria",
    "South Africa"
  )
)

# The default is to plot the first country year in the outputs
plot_one_country_year(imprinting_df)


# Or, specify a country and year of interest (both must exist in the
# imprinting_df).
plot_one_country_year(imprinting_df,
  country = "South Africa",
  year = 1925
)