Evaluates calc_ede across a vector of \(\eta\) values and
returns a tidy tibble. This is the basis for EDE profile plots as
described in the York DCEA handbook.
Usage
calc_ede_profile(health_dist, pop_weights, eta_range = seq(0, 10, 0.1))
Arguments
- health_dist
Numeric vector of health values by group.
- pop_weights
Numeric vector of population weights.
- eta_range
Numeric vector of \(\eta\) values to evaluate
(default: seq(0, 10, 0.1)).
Value
A tibble with columns eta and ede.
Examples
health <- c(60, 63, 66, 69, 72)
weights <- rep(0.2, 5)
calc_ede_profile(health, weights)
#> # A tibble: 101 × 2
#> eta ede
#> <dbl> <dbl>
#> 1 0 66
#> 2 0.1 66.0
#> 3 0.2 66.0
#> 4 0.3 66.0
#> 5 0.4 65.9
#> 6 0.5 65.9
#> 7 0.6 65.9
#> 8 0.7 65.9
#> 9 0.8 65.9
#> 10 0.9 65.9
#> # ℹ 91 more rows