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households.R
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households.R
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#Load the source file
source("setup.R")
#### ********************** Generate the total number of households *************************************************** ####
households <- function(hhld){
pActivity_households_nat <- pActivity %>%
select(year, countryCode, hhwt) %>%
rename(strataCode = countryCode) %>%
mutate(INDICATOR = 'HHCNT',
UNIT_MEASURE = 'N'
)
pActivity_households_nat <- pActivity_households_nat %>%
group_by(year, strataCode, INDICATOR, UNIT_MEASURE) %>%
summarise(hhtotal = round(sum(hhwt), 0))
pActivity_households_str <- pActivity %>%
select(year, strataCode, hhwt) %>%
mutate(INDICATOR = 'HHCNT',
UNIT_MEASURE = 'N'
)
pActivity_households_str <- pActivity_households_str %>%
group_by(year, strataCode, INDICATOR, UNIT_MEASURE) %>%
summarise(hhtotal = round(sum(hhwt), 0))
hhld <- rbind(pActivity_households_nat, pActivity_households_str)
return(hhld)
}
#Generate Livestock households
livestock_hhld <- function(hhld) {
pActivity_households_nat <- pActivity %>%
filter(livestock == 1) %>%
select(year, countryCode, hhwt) %>%
rename(strataCode = countryCode) %>%
mutate(INDICATOR = 'HHLVK',
UNIT_MEASURE = 'N'
)
pActivity_households_nat <- pActivity_households_nat %>%
group_by(year, strataCode, INDICATOR, UNIT_MEASURE) %>%
summarise(hhtotal = round(sum(hhwt), 0))
pActivity_households_str <- pActivity %>%
filter(livestock == 1) %>%
select(year, strataCode, hhwt) %>%
mutate(INDICATOR = 'HHLVK',
UNIT_MEASURE = 'N'
)
pActivity_households_str <- pActivity_households_str %>%
group_by(year, strataCode, INDICATOR, UNIT_MEASURE) %>%
summarise(hhtotal = round(sum(hhwt), 0))
hhld <- rbind(pActivity_households_nat, pActivity_households_str)
return(hhld)
}
#Generate Fisheries households
fisheries_hhld <- function(hhld) {
pActivity_households_nat <- pActivity %>%
filter(fisheries == 1) %>%
select(year, countryCode, hhwt) %>%
rename(strataCode = countryCode) %>%
mutate(INDICATOR = 'HHFSH',
UNIT_MEASURE = 'N'
)
pActivity_households_nat <- pActivity_households_nat %>%
group_by(year, strataCode, INDICATOR, UNIT_MEASURE) %>%
summarise(hhtotal = round(sum(hhwt), 0))
pActivity_households_str <- pActivity %>%
filter(fisheries == 1) %>%
select(year, strataCode, hhwt) %>%
mutate(INDICATOR = 'HHFSH',
UNIT_MEASURE = 'N'
)
pActivity_households_str <- pActivity_households_str %>%
group_by(year, strataCode, INDICATOR, UNIT_MEASURE) %>%
summarise(hhtotal = round(sum(hhwt), 0))
hhld <- rbind(pActivity_households_nat, pActivity_households_str)
return(hhld)
}
#Generate Agriculture households
agriculture_hhld <- function(hhld) {
pActivity_households_nat <- pActivity %>%
filter(agric == 1) %>%
select(year, countryCode, hhwt) %>%
rename(strataCode = countryCode) %>%
mutate(INDICATOR = 'HHARG',
UNIT_MEASURE = 'N'
)
pActivity_households_nat <- pActivity_households_nat %>%
group_by(year, strataCode, INDICATOR, UNIT_MEASURE) %>%
summarise(hhtotal = round(sum(hhwt), 0))
pActivity_households_str <- pActivity %>%
filter(agric == 1) %>%
select(year, strataCode, hhwt) %>%
mutate(INDICATOR = 'HHARG',
UNIT_MEASURE = 'N'
)
pActivity_households_str <- pActivity_households_str %>%
group_by(year, strataCode, INDICATOR, UNIT_MEASURE) %>%
summarise(hhtotal = round(sum(hhwt), 0))
hhld <- rbind(pActivity_households_nat, pActivity_households_str)
return(hhld)
}