ebp_report_byrank {povmap}

Produce EBP Head Count Population/Rate by Rank

Description

This function combines the ebp object with the census data to produce report tables that rank head count estimates either by population of poor or the head count rates themselves in descending order. The function allows the user to select the first/last "x" number of areas by name as well.

Usage

ebp_report_byrank(
  model,
  pop_data,
  pop_domains,
  pop_weights = NULL,
  byrank_indicator = "count",
  number_to_list = NULL,
  head = TRUE,
  indicator = "Head_Count"
)

Arguments

model

an object returned by the ebp function of type "emdi ebp".

pop_data

the population/census/training data

pop_domains

a character string containing the name of a variable that indicates domains in the population data. The variable can be numeric or a factor but needs to be of the same class as the variable named in smp_domains.

pop_weights

a character string containing the name of a variable that indicates population weights in the populatation data. If a character string is provided weighted indicators are estimated using population weights. The variable has to be numeric. Defaults to NULL. Please note that pop_weights should only be used if in the pop_data not individual data is provided and thus the number of persons per unit (e.g. household, grid) must be indicated.

byrank_indicator

if argument is "count", the function ranks the product of Head_Count (from object of class 'ebp') and 'pop_weights', otherwise it the function simply ranks Head_Count output within 'ebp' object

number_to_list

an integer, the first 'number_to_list' number of target areas to produce from 'byrank_indicator' ordering.

head

a logical, if 'TRUE' the top 'number_to_list' results will be returned and if 'FALSE' the bottom 'number_to_list' will be returned

indicator

a character string containing the name of the indicator to rank. Defaults to "Head_Count"

Value

dataframe containing population size, head count values and counts of poor population

Examples

data("eusilcA_pop")
data("eusilcA_smp")

ebp_model <- ebp(
 fixed = eqIncome ~ gender + eqsize + cash + self_empl +
    unempl_ben + age_ben + surv_ben + sick_ben + dis_ben + rent + fam_allow +
    house_allow + cap_inv + tax_adj,
 pop_data = eusilcA_pop, pop_domains = "district",
 smp_data = eusilcA_smp, smp_domains = "district", L = 2,
 weights = "weight", weights_type = "nlme", na.rm = TRUE,
 pop_weights = "hhsize")

# full data of highest population below threshold by rank (descending order)
ebp_report_byrank(model = ebp_model,
                  pop_data = eusilcA_pop,
                  pop_domains = "district",
                  pop_weights = "hhsize")

# full data of highest rate below threshold by rank (descending order)
ebp_report_byrank(model = ebp_model,
                  pop_data = eusilcA_pop,
                  pop_domains = "district",
                  pop_weights = "hhsize",
                  byrank_indicator = "rate")

# bottom 10 poverty count below threshold by rank (in ascending order)
ebp_report_byrank(model = ebp_model,
                  pop_data = eusilcA_pop,
                  pop_domains = "district",
                  pop_weights = "hhsize",
                  number_to_list = 10,
                  head = FALSE)