This function generates a line plot comparing traditional (coverage_old)
and derived (coverage_new) coverage estimates over time for a single indicator.
It supports both national and subnational views.
Usage
# S3 method for class 'cd_derived_coverage'
plot(x, region = NULL, ...)
Arguments
- x
A cd_coverage_trends object returned by generate_coverage_data().
- region
(Optional) A region or district name. Required for subnational data,
must be NULL for national data.
- ...
Additional arguments passed to ggplot2 layers (not used).
Value
A ggplot object showing coverage trends.
Details
The plot title and y-axis labels are automatically generated from the
indicator metadata stored in the input object attributes.
Examples
if (FALSE) { # \dontrun{
generate_coverage_data(dhis_data, "penta1", 2019) %>%
plot(region = "Nairobi")
generate_coverage_data(dhis_data, "rota1", 2019) %>%
plot()
} # }