filter_inequality refines the output of calculate_inequality by selecting
specific indicators and denominators for analysis. It extracts and renames relevant
columns to streamline further analyses.
Usage
filter_inequality(
.data,
indicator,
denominator = c("dhis2", "anc1", "penta1", "penta1derived"),
...
)
Arguments
- .data
A cd_inequality tibble created by calculate_inequality.
- indicator
A character vector of health indicators to include (e.g., "penta3", "measles1").
- denominator
A character vector of denominators to filter by (e.g., "dhis2", "anc1").
- ...
Not used
Value
A tibble containing filtered subnational inequality metrics for
the specified indicators and denominators.
Examples
if (FALSE) { # \dontrun{
# Filter for Penta-3 coverage using DHIS-2 denominator
filtered_data <- inequality_metrics %>%
filter_inequality(indicator = "penta3", denominator = "dhis2")
} # }