insp.dd: Miscellaneous utility functions for 'demogdata' type...
In ilc: Lee-Carter Mortality Models using Iterative Fitting Algorithms

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/insp.dd.R

This function can extract any subset of the source data, such as the mortality (hazard) rates and population (exposure), by a given vector of ages and calendar years. Similarly, the function can output the observed number of deaths by age and calendar years, based on the source data sets included in the demogdata object.

1 2	insp.dd(data, what = c("rate", "pop", "deaths"), ages = data$age, years = data$year, series = names(data$rate)[1])

`data`	`demogdata` mortality data object
`what`	specifies the required type of data matrix to be extracted
`ages`	vector of ages to inspect in the data
`years`	vector of years to inspect in the data
`series`	target series name (e.g. 'males') or index number (e.g. 1) of the data object to be extracted

A subset of mortality rates and population (exposures) can be directly inspected (i.e. extracted) from the corresponding component data matrices in the source demogdata object by using this function. To inspect the observed number of deaths by age and calendar years the function calls extract.deaths without data corrections.

Returns a subset data matrix of the source data.

Zoltan Butt, Steven Haberman and Han Lin Shang

extract.deaths, extract.ages, extract.years

# inspect mortality (hazard) rates:
insp.dd(dd.cmi.pens, 'rate', age=50:80, year=1985:1990)
# inspect exposure (population) values:
insp.dd(dd.cmi.pens, 'pop', age=50:80, year=1985:1990)
# inspect 'estimated' number of deaths
insp.dd(dd.cmi.pens, 'deaths', age=50:80, year=1985:1990)