segplot: plot the age-pattern of coverage estimates

In DDM: Death Registration Coverage Estimation

Description

the SEG method works by averaging the coverage estimates over a range of ages. Users may wish to see the age pattern for diagnostic purposes.

Usage

segplot(X, minA = 15, maxA = 75, minAges = 8, exact.ages = NULL,
  eOpen = NULL, deaths.summed = FALSE, log = FALSE)

Arguments

X	data.frame with columns, $pop1, $pop2, $deaths, $date1, $date2, $age, $sex, and $cod (if there are more than 1 region/sex/intercensal period).
minA	the lowest age to be included in search
maxA	the highest age to be included in search (the lower bound thereof)
minAges	the minimum number of adjacent ages to be used in estimating
exact.ages	optional. A user-specified vector of exact ages to use for coverage estimation
eOpen	optional. A user-specified value for remaining life-expectancy in the open age group.
deaths.summed	logical. is the deaths column given as the total per age in the intercensal period (TRUE). By default we assume FALSE, i.e. that the average annual was given.
log	logical. should we log the y axis?

Details

All arguments are essentially the same as those given to seg()

Value

Function called for its graphical side effects

Examples

## Not run: 
segplot(Moz)

## End(Not run)

DDM documentation built on May 2, 2019, 6:16 a.m.