plot_one_country_year {imprinting}

Plot imprinting probabilities for a single country and year

Description

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
)