################################################################################
#
#' Given country-specific survey data with information on the ten questions on
#' which PPI scores are based on, recode the data accordingly and calculate
#' the corresponding PPI score
#'
#' @param ccode Three letter ISO code for a country
#' @return A PPI score ranging between 0 to 100
#' @examples
#' # use score_ppi for Bangladesh
#' \dontrun{score_ppi(ccode = "BGD")}
#'
#' @export
#'
#'
#
################################################################################
score_ppi <- function(ccode) {
#
# Check country - BGD
#
if(ccode == "BGD") {
#
# ppi1: Number of household members 12-years old or younger
#
q1 <- menu(title = "How many household members are 12-years-old or younger?",
choices = c("None", "One", "Two", "Three or more"))
ppi1 <- ifelse(q1 == 1, 32,
ifelse(q1 == 2, 16,
ifelse(q1 == 3, 10, 0)))
#
# ppi2: Do household members 6-12 years old attend school?
#
q2 <- menu(title = "Do all household members ages 6-to-12 currently attend a
school/educational institution?",
choices = c("Yes", "No", "No one 6-12 years old"))
ppi2 <- ifelse(q2 == 1, 6, 0)
#
# ppi3: In past year, any household member do paid work?
#
q3 <- menu(title = "In the past year, did any household member ever do work
for which he/she was paid on a daily basis?",
choices = c("Yes", "No"))
ppi3 <- ifelse(q3 == 2, 8, 0)
#
# ppi4: Number of rooms used by household
#
q4 <- menu(title = "How many rooms does your household occupy (excluding
rooms used for business)?",
choices = c("One", "Two", "Three or more"))
ppi4 <- ifelse(q4 == 3, 5,
ifelse(q4 == 2, 3, 0))
#
# ppi5: Main construction material of the walls of the main room
#
q5 <- menu(title = "What is the main construction material of the walls of
the main room?",
choices = c("Hemp/hay/bamboo, or other",
"Mud brick, or C.I. sheet/wood",
"Brick/cement"))
ppi5 <- ifelse(q5 == 3, 9,
ifelse(q5 == 2, 2, 0))
#
# ppi6: Does the household own television?
#
q6 <- menu(title = "Does the household own any televisions?",
choices = c("Yes", "No"))
ppi6 <- ifelse(q6 == 1, 7, 0)
#
# ppi7: Number of fans the household owns
#
q7 <- menu(title = "How many fans does the household own?",
choices = c("None", "One", "Two or more"))
ppi7 <- ifelse(q7 == 3, 7,
ifelse(q7 == 2, 4, 0))
#
# ppi8: Number of mobile phones the household owns
#
q8 <- menu(title = "How many mobile phones does the household own?",
choices = c("None", "One", "Two or more"))
ppi8 <- ifelse(q8 == 3, 15,
ifelse(q8 == 2, 8, 0))
#
# ppi9: Does household own bicycles, motorcycles/scooters, cars?
#
q9 <- menu(title = "Does the household own any bicycles, motorcycle/scooters,
or motor cars etc.?",
choices = c("Yes", "No"))
ppi9 <- ifelse(q9 == 1, 4, 0)
#
# ppi10: Does the household own/rent/sharecrop/mortgage in or out 51 or more
# decimals of cultivable agricultural land
#
q10 <- menu(title = "Does the household own (or rent/sharecrop/mortgage in
or out) 51 or more decimals of cultivable agricultural \
land (excluding uncultivable land and dwelling-house/homestead
land)?",
choices = c("Yes", "No"))
ppi10 <- ifelse(q10 == 1, 7, 0)
#
# ppi: total score
#
ppi <- ppi1 + ppi2 + ppi3 + ppi4 + ppi5 + ppi6 + ppi7 + ppi8 + ppi9 + ppi10
}
#
# Check country - Ghana
#
if(ccode == "GHA") {
#
# ppi1: How many members does the household have?
#
q1 <- menu(title = "How many members does the household have?",
choices = c("Eight or more", "Seven", "Six", "Five", "Four", "Three", "Two", "One"))
ppi1 <- ifelse(q1 == 1, 0,
ifelse(q1 == 2, 4,
ifelse(q1 == 3, 9,
ifelse(q1 == 4, 13,
ifelse(q1 == 5, 14,
ifelse(q1 == 6, 21,
ifelse(q1 == 7, 24, 29)))))))
#
# ppi2: Are all household members ages 5 to 17 currently in school?
#
q2 <- menu(title = "Are all household members ages 5 to 17 currently in school?",
choices = c("Yes", "No", "No one 5-17 years old"))
ppi2 <- ifelse(q2 == 1, 2,
ifelse(q2 == 2, 0, 3))
#
# ppi3: Can the male head/spouse read a phrase/sentence in English?
#
q3 <- menu(title = "Can the male head/spouse read a phrase/sentence in English?",
choices = c("Yes", "No", "No male head/spouse"))
ppi3 <- ifelse(q3 == 1, 5,
ifelse(q3 == 2, 0, 2))
#
# ppi4: What is the main construction material used for the outer wall?
#
q4 <- menu(title = "What is the main construction material used for the outer wall?",
choices = c("Mud bricks/earth, wood, bamboo, metal 0 sheet/slate/asbestos, palm leaves/thatch (grass/raffia), or other",
"Cement/concrete blocks, landcrete, stone, or burnt bricks"))
ppi4 <- ifelse(q4 == 1, 0, 5)
#
# ppi5: What type of toilet facility is usually used by the household?
#
q5 <- menu(title = "What type of toilet facility is usually used by the household?",
choices = c("No toilet facility (bush, beach), or other",
"Pit latrine, bucket/pan",
"Public toilet (e.g., W.C., KVIP, pit pan)",
"KVIP, or W.C."))
ppi5 <- ifelse(q5 == 1, 0,
ifelse(q5 %in% 2:3, 4, 6))
#
# ppi6: What is the main fuel used by the household for cooking?
#
q6 <- menu(title = "What is the main fuel used by the household for cooking?",
choices = c("None, no cooking",
"Wood, crop residue, sawdust, animal waste, or other",
"Charcoal, or kerosene",
"Gas, or electricity"))
ppi6 <- ifelse(q6 == 1, 0,
ifelse(q6 == 2, 6,
ifelse(q6 == 3, 13, 22)))
#
# ppi7: Does any household member own a working box iron or electric iron?
#
q7 <- menu(title = "Does any household member own a working box iron or electric iron?",
choices = c("Yes", "No"))
ppi7 <- ifelse(q7 == 1, 0, 4)
#
# ppi8: Does any household member own a working television, video player,
# VCD/DVD/MP3/MP4 player/iPod, or satellite dish?
#
q8 <- menu(title = "Does any household member own a working television, video
player, VCD/DVD/MP3/MP4 player/iPod, or satellite dish?",
choices = c("No", "Only television",
"Video player, VCD/DVD/MP3/MP4 player/iPod, or satellite dish (regardless of T.V.)"))
ppi8 <- ifelse(q8 == 1, 0,
ifelse(q8 == 2, 2, 8))
#
# ppi9: How many working mobile phones are owned by members of the household?
#
q9 <- menu(title = "How many working mobile phones are owned by members of the household?",
choices = c("None", "One", "Two", "Three or more"))
ppi9 <- ifelse(q9 == 1, 0,
ifelse(q9 == 2, 4,
ifelse(q9 == 3, 8, 10)))
#
# ppi10: Does any household member own a working bicycle, motor cycle, or car?
#
q10 <- menu(title = "Does the household own (or rent/sharecrop/mortgage in
or out) 51 or more decimals of cultivable agricultural \
land (excluding uncultivable land and dwelling-house/homestead
land)?",
choices = c("None", "Only bicycle",
"Motor cycle or car (regardless of bicycle)"))
ppi10 <- ifelse(q10 == 1, 0,
ifelse(q10 == 2, 3, 8))
#
# ppi: total score
#
ppi <- ppi1 + ppi2 + ppi3 + ppi4 + ppi5 + ppi6 + ppi7 + ppi8 + ppi9 + ppi10
}
#
# Check country - Kenya
#
if(ccode == "Kenya") {
#
# ppi1: How many members does the household have?
#
q1 <- menu(title = "How many members does the household have?",
choices = c("Nine or more", "Seven or eight", "Six", "Five",
"Four", "Three", "One or two"))
ppi1 <- ifelse(q1 == 1, 0,
ifelse(q1 == 2, 5,
ifelse(q1 == 3, 8,
ifelse(q1 == 4, 12,
ifelse(q1 == 5, 18,
ifelse(q1 == 6, 22, 32))))))
#
# ppi2: What is the highest school grade that the female head/spouse has completed?
#
q2 <- menu(title = "What is the highest school grade that the female head/spouse has completed?",
choices = c("None, or pre-school", "Primary standards 1 to 6", "Primary standard 7",
"Primary standard 8, or secondary forms 1 to 3", "No female head/spouse",
"Secondary form 4 or higher"))
ppi2 <- ifelse(q2 == 1, 0,
ifelse(q2 == 2, 1,
ifelse(q2 == 3, 2,
ifelse(q2 %in% 4:5, 6, 11))))
#
# ppi3: What kind of business (type of industry) is the main occupation of the male head/spouse connected with?
#
q3 <- menu(title = "What kind of business (type of industry) is the main occupation of the male head/spouse connected with?",
choices = c("Does not work", "No male head/spouse",
"Agriculture, hunting, forestry, fishing, mining, or quarrying",
"Any other"))
ppi3 <- ifelse(q3 == 1, 0,
ifelse(q3 == 2, 3,
ifelse(q3 == 3, 7, 9)))
#
# ppi4: How many habitable rooms does this household occupy in its main dwelling (do not count bathrooms, toilets, storerooms, or garage)?
#
q4 <- menu(title = "How many habitable rooms does this household occupy in its main dwelling (do not count bathrooms, toilets, storerooms, or garage)?",
choices = c("One", "Two", "Three", "Four or more"))
ppi4 <- ifelse(q4 == 1, 0,
ifelse(q4 == 2, 2,
ifelse(q4 == 3, 5, 8)))
#
# ppi5: The floor of the main dwelling is predominantly made of what material?
#
q5 <- menu(title = "The floor of the main dwelling is predominantly made of what material?",
choices = c("Wood, earth, or other", "Cement or tiles"))
ppi5 <- ifelse(q5 == 1, 0, 3)
#
# ppi6: What is the main source of lighting fuel for the household?
#
q6 <- menu(title = "What is the main source of lighting fuel for the household?",
choices = c("Collected firewood, purchased firewood, grass, or dry cell (torch)",
"Paraffin, candles, biogas, or other",
"Electricity, solar, or gas"))
ppi6 <- ifelse(q6 == 1, 0,
ifelse(q6 == 2, 6, 12))
#
# ppi7: Does your household own any irons (charcoal or electric)?
#
q7 <- menu(title = "Does your household own any irons (charcoal or electric)?",
choices = c("No", "Yes"))
ppi7 <- ifelse(q7 == 1, 0, 4)
#
# ppi8: How many mosquito nets does your household own?
#
q8 <- menu(title = "How many mosquito nets does your household own?",
choices = c("None", "One", "Two ore more"))
ppi8 <- ifelse(q8 == 1, 0,
ifelse(q8 == 2, 2, 4))
#
# ppi9: How many towels does your household own?
#
q9 <- menu(title = "How many towels does your household own?",
choices = c("None", "One", "Two or more"))
ppi9 <- ifelse(q9 == 1, 0,
ifelse(q9 == 2, 6, 10))
#
# ppi10: How many frying pans does your household own?
#
q10 <- menu(title = "How many frying pans does your household own?",
choices = c("None", "One", "Two or more"))
ppi10 <- ifelse(q10 == 1, 0,
ifelse(q10 == 2, 3, 7))
#
# ppi: total score
#
ppi <- ppi1 + ppi2 + ppi3 + ppi4 + ppi5 + ppi6 + ppi7 + ppi8 + ppi9 + ppi10
}
#
# Check country - Madagascar
#
if(ccode == "MDG") {
#
# ppi1: How many members does the household have?
#
q1 <- menu(title = "How many members does the household have?",
choices = c("Nine or more", "Eight", "Seven", "Six", "Five", "Four", "Three", "Two", "One"))
ppi1 <- ifelse(q1 == 1, 0,
ifelse(q1 == 2, 5,
ifelse(q1 == 3, 6,
ifelse(q1 == 4, 9,
ifelse(q1 == 5, 13,
ifelse(q1 == 6, 19,
ifelse(q1 == 7, 25,
ifelse(q1 == 8, 33, 38))))))))
#
# ppi2: Can the (oldest) female head/spouse read a simple message?
#
q2 <- menu(title = "Can the (oldest) female head/spouse read a simple message?",
choices = c("No", "Yes", "No female head/spouse"))
ppi2 <- ifelse(q2 == 1, 0,
ifelse(q2 == 2, 2, 3))
#
# ppi3: What is the main material of the floor of the residence?
#
q3 <- menu(title = "What is the main material of the floor of the residence?",
choices = c("Other", "Dirt (with or without mats)",
"Wood, stone, or brick",
"Cement, concrete, or fiberglass"))
ppi3 <- ifelse(q3 == 1, 0,
ifelse(q3 == 2, 5,
ifelse(q3 == 3, 8, 11)))
#
# ppi4: What is the main permanent ceiling material?
#
q4 <- menu(title = "What is the main permanent ceiling material?",
choices = c("Bark, leaves, stems, dirt, or mud",
"No ceiling, or other",
"Matting, wood planks, plywood, particle board, cinder blocks, cement, concrete, or fiberglass"))
ppi4 <- ifelse(q4 == 1, 0,
ifelse(q4 == 2, 3, 7))
#
# ppi5: How many tables does the household have?
#
q5 <- menu(title = "How many tables does the household have?",
choices = c("None", "One", "Two or more"))
ppi5 <- ifelse(q5 == 1, 0,
ifelse(q5 == 2, 2, 6))
#
# ppi6: How many beds does the household have?
#
q6 <- menu(title = "How many beds does the household have?",
choices = c("None", "One", "Two", "Three or more"))
ppi6 <- ifelse(q6 == 1, 0,
ifelse(q6 == 2, 2,
ifelse(q6 == 3, 4, 9)))
#
# ppi7: Does the household have a radio, radio/cassette player, or hi-fi stereo system?
#
q7 <- menu(title = "Does the household have a radio, radio/cassette player, or hi-fi stereo system?",
choices = c("No", "Yes"))
ppi7 <- ifelse(q7 == 1, 0, 5)
#
# ppi8: Does the household have a television?
#
q8 <- menu(title = "Does the household have a television?",
choices = c("No", "Yes"))
ppi8 <- ifelse(q8 == 1, 0, 14)
#
# ppi9: Does the household have a bicycle, motorcycle/scooter, tractor, or car of its own (not counting business vehicles)?
#
q9 <- menu(title = "Does the household have a bicycle, motorcycle/scooter, tractor, or car of its own (not counting business vehicles)?",
choices = c("No", "Yes"))
ppi9 <- ifelse(q9 == 1, 0, 4)
#
# ppi10: Does the household have an agricultural storage shed?
#
q10 <- menu(title = "Does the household have an agricultural storage shed?",
choices = c("No", "Yes"))
ppi10 <- ifelse(q10 == 1, 0, 3)
#
# ppi: total score
#
ppi <- ppi1 + ppi2 + ppi3 + ppi4 + ppi5 + ppi6 + ppi7 + ppi8 + ppi9 + ppi10
}
#
# Return score
#
if(!is.na(ppi)){ return(ppi) }
}
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