selectHMDdata: Selecting Data from the HMDdata Object
In MortalitySmooth: Smoothing and Forecasting Poisson Counts with P-Splines

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

Creates subset of the HMDdata object.

selectHMDdata(country,
              data = c("Population", "Deaths", "Exposures", "Rates"), 
              sex = c("Females", "Males", "Total"), 
              ages = NULL, years = NULL)

`country`	character string for the country name.
`data`	character string showing type of demographic series: either "Population", "Deaths", "Exposures" or "Rates". Default value "Population".
`sex`	character string showing sex of demographic series: either "Females", "Males" or "Total". Default value "Females".
`ages`	vector of ages to extract from data. If it is `NULL`, all ages will be selected.
`years`	vector of years to extract from data. If it is `NULL`, all available years will be selected.

HMDdata are loaded with the package.

Country names is not case-sensitive and initials can be used. However, distinguishable country name is necessary. Type of data and sex are case-sensitive and initials can be used.

Available ages are always from 0 to 110, whereas years depends on the country. Warning massages will be provided in case of selected default values. Attributes about country, data and sex will be given to the outcome.

Matrix object from HMDdata with a subset of country, type of data, sex, ages and years.

Carlo G Camarda

Camarda, C. G. (2012). MortalitySmooth: An R Package for Smoothing Poisson Counts with P-Splines. Journal of Statistical Software. 50, 1-24. http://www.jstatsoft.org/v50/i01/.

HMDdata.

## "Complete" example
x <- 1950:2000
den50 <- selectHMDdata("Denmark", "Death", "Females", 50, x)
plot(x, den50, main="Danish female deaths at age 50")
## "Incomplete" example with warning
jap50 <- selectHMDdata("jap", "Pop", "F", 50)
## Wrong example (don't run)
## selectHMDdata("Sw", "Pop", "F", 50, 2000)
## Sw can stand for both Sweden and Switzerland