plot_many_country_years

For each country and year, generate two plots:<ul>
<li>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, for the first
observation year.</li>
<li>A lineplot showing the age-specific probability of imprinting to
H3N2 in the first and last observation year. When the data contain
more than one observation year, this plot shows how cohorts age over
time.</li>
</ul>

Reconstruct birth-year specific probabilities of immune imprinting to influenza A, using the methods of Gostic et al. (2016) <doi:10.1126/science.aag1322>. Plot, save, or export the calculated probabilities for use in your own research. By default, the package calculates subtype-specific imprinting probabilities, but with user-provided frequency data, it is possible to calculate probabilities for arbitrary kinds of primary exposure to influenza A, including primary vaccination and exposure to specific clades, strains, etc.

Alex Byrnes

imprinting

Calculate Birth Year-Specific Probabilities of Immune Imprinting
to Influenza

Katelyn Gostic

plot_many_country_years function

<dl><dt>imprinting_df</dt>
<dd>A long data frame of imprinted probabilities output by <code>get_imprinting_probabilities()</code>. Up to five countries and an arbitrary span of years can be plotted.</dd></dl>

Arguments

Plot imprinting probabilities for up to five country-years — plot_many_country_years

<dl>

<dt>imprinting_df</dt>
<dd>A long data frame of imprinted probabilities output by <code>get_imprinting_probabilities()</code>. Up to five countries and an arbitrary span of years can be plotted.</dd>

</dl>

plot_many_country_years: Plot imprinting probabilities for up to five country-years

Description

Usage

Value

Arguments

Examples