Description Usage Arguments Examples
asdf
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | EstimateDDM(
data,
name.disaggregations,
name.age,
name.sex,
name.males,
name.females,
name.population.year1,
name.population.year2,
name.year1,
name.month1,
name.day1,
name.year2,
name.month2,
name.day2,
name.national = NULL,
name.deaths,
deaths.summed,
show.age.range.sensitivity = TRUE,
min.age.in.search = 15,
max.age.in.search = 75,
min.number.of.ages = 8,
exact.ages.to.use = NULL,
largest.lower.limit.sensitivity = 35,
smallest.upper.limit.sensitivity = 40,
life.expectancy.in.open.group = NULL
)
|
data |
data frame that contains at least seven columns representing: (1) five-year age groups, (2) sex, (3, 4) population counts collected at two different time points (typically adjacent Census years) (5, 6) dates of two different time points (7) the level of subnational disaggregation in additino to sex (e.g. a geographic unit such as a province/state, a sociodemographic category such as education level, or combinations thereof). |
name.disaggregations |
Character string providing the name of the variable in 'data' that represents the levels of subnational disaggregation |
name.age |
Character string providing the name of the variable in 'data' that represents age |
name.sex |
Character string providing the name of the variable in 'data' that represents sex |
name.males |
Character string providing the name of the value of 'name.sex' variable that represents males |
name.females |
Character string providing the name of the value of 'name.sex' variable that represents females |
name.population.year1 |
Character string providing the name of the variable in 'data' that represents the population count in the earlier time point |
name.population.year2 |
Character string providing the name of the variable in 'data' that represents the population count in the later time point |
name.year1 |
Character string providing the name of the variable in 'data' that represents the year of the earlier of the two time periods (e.g. year of the earlier Census) |
name.month1 |
Character string providing the name of the variable in 'data' that represents the month of the earlier of the two time periods (e.g. month of the earlier Census) |
name.day1 |
Character string providing the name of the variable in 'data' that represents the day of the earlier of the two time periods (e.g. day of the earlier Census) |
name.year2 |
Character string providing the name of the variable in 'data' that represents the year of the later of the two time periods (e.g. year of the later Census) |
name.month2 |
Character string providing the name of the variable in 'data' that represents the month of the later of the two time periods (e.g. month of the later Census) |
name.day2 |
Character string providing the name of the variable in 'data' that represents the day of the later of the two time periods (e.g. day of the later Census) |
name.national |
A character string providing the value of ‘name.disaggregations' variable that indicates national-level results (e.g. "Overall" or "National"). Defaults to NULL, implying 'name.disaggregations' variable in 'data' only includes values for subnational levels. Defaults to NULL#’ @param name.deaths Character string providing the name of the variable in 'data' that represents the total count or annual average count of deaths between the earlier and later time points |
deaths.summed |
A logical equivalent to the 'deaths.summed' argument of 'DDM::ddm()', which indicates whether 'name.deaths' provides the total count (TRUE) or annual average count (FALSE) of deaths between the two time points |
show.age.range.sensitivity |
A logical equal to TRUE if the DDM estimates are provided for every possible age range (obeying the 'min.age.in.search', 'max.age.in.search', and 'min.number.of.ages' arguments) and equal to FALSE are only provided for the optimal age range based on the search performed by ddm(). Defaults to TRUE |
min.age.in.search |
A numeric equivalent to the 'minA' argument of 'DDM:ddm()'. Defaults to 15 |
max.age.in.search |
A numeric equivalent to the 'maxA' argument of 'DDM:ddm()'. Defaults to 75 |
min.number.of.ages |
A numeric equivalent to the 'minAges' argument of 'DDM:ddm()'. Defaults to 8 |
exact.ages.to.use |
A numeric vector equivalent to 'exact.ages'. Defaults to NULL, which feeds the default value of NULL to 'DDM:ddm()' |
largest.lower.limit.sensitivity |
A numeric the indicates the largest value of 'min.age.in.search' that should be considered in the sensitivity analysis (the smallest one considered will be the one specified originally with 'min.age.in.search'). Defaults to 45 |
smallest.upper.limit.sensitivity |
A numeric the indicates the smallest value of 'max.age.in.search' that should be considered in the sensitivity analysis (the largest one considered will be the one specified originally with 'max.age.in.search'). Defaults to 50 |
life.expectancy.in.open.group |
A numeric equivalent to the 'eOpen' argument of 'DDM:ddm()'. Defaults to NULL |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ddm_results <- EstimateDDM(data=ecuador_five_year_ages,
name.disaggregations="province_name",
name.age="age",
name.sex="sex",
name.males="m",
name.females="f",
name.population.year1="pop1",
name.population.year2="pop2",
name.year1="year1"
name.month1="month1",
name.day1="day1",
name.year2="year2",
name.month2="month2",
name.day2="day2"
name.deaths="deaths",
deaths.summed=TRUE,
min.age.in.search=15,
max.age.in.search=75,
min.number.of.ages=8,
life.expectancy.in.open.group=NULL,
exact.ages.to.use=NULL,
show.age.range.sensitivity=FALSE)
ddm_results$ddm_estimates
|
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