`emodplot.by_gender`

Plot by gender

Description

Plot by gender

emodplot.by_gender(data, date.start, date.end, col2plot, title = "", unit = "")

Argument	Description
`data`	A tibble returned from read.simulation.results(…, stratify_columns = c(“Year”, “Gender”), aggregate_columns = c(“Population”,”Newly.Infected”, “Infected”)) More aggregate columns can be used, but more stratify columns will cause problems in the plot.
`date.start`	integer year to start the plotting (i.e., 2000)
`date.end`	integer year to end the plotting (i.e., 2030)
`col2plot`	string of column name you want to plot (i.e., “Infected”)
`title`	string of plot title (i.e., “Infected Plot”)
`unit`	string of the units for col2plot (i.e., “(Number of People)”)

plots a metric in data. First, it faintly plots all simulations. Then it plots a bold line of the mean of all simulations

a ggplot with all data plotted