swap_values {tidyindex}

Testing alternatives

Description

The two functions allows you to substitute a value/expression in the pipeline with other options. These functions will evaluate the modified pipeline step, as well as its prior and subsequent steps to create different versions of the index.

Usage

swap_values(data, .var, .param, .values)

swap_exprs(data, .var, .exprs)

Arguments

data

an idx_tbl object

.var

the name of the variable, which the step is tested for alternatives

.param

the name of the parameter to swap

.values, .exprs

a list of values or expressions

Value

an index table

Examples

library(generics)
hdi_paras <- hdi_scales |>
dplyr::add_row(dimension = "Education", name = "Education",
               var = "sch", min = 0, max = 0) |>
  dplyr::mutate(weight = c(1/3, 0, 0, 1/3, 1/3),
                weight2 = c(0.1, 0, 0, 0.8, 0.1),
                weight3 = c(0.8, 0, 0, 0.1, 0.1),
                weight4 = c(0.1, 0, 0, 0.1, 0.8))

dt <- hdi |>
  init(id = country) |>
  add_paras(hdi_paras, by = var) |>
  rescaling(life_exp = rescale_minmax(life_exp, min = min, max = max)) |>
  rescaling(exp_sch = rescale_minmax(exp_sch, min = min, max = max)) |>
  rescaling(avg_sch = rescale_minmax(avg_sch, min = min, max = max)) |>
  rescaling(gni_pc = rescale_minmax(gni_pc, min = min, max = max)) |>
  dimension_reduction(sch = aggregate_manual(~(exp_sch + avg_sch)/2)) |>
  dimension_reduction(index = aggregate_linear(~c(life_exp, sch, gni_pc),
                      weight = weight))


dt2 <- dt |>
  swap_values(.var = "index", .param = weight,
              .value = list(weight2, weight3, weight4))
augment(dt2)

dt3 <- dt |>
  swap_exprs(.var = index, .exprs = list(
             aggregate_geometrical(~c(life_exp, sch, gni_pc))))
augment(dt3)