count_events_quarter {qlifetable} | R Documentation |
Data frame of number of events occurring in each Lexis-diagram quarter
Description
Computes for each integer age and each combination of age and seasonal quarter
the number of events occurring in the population.
The computation is performed using the associated data frame of quarterly variables
corresponding to the population obtained using the quarterly_variables
function.
Usage
count_events_quarter(x)
Arguments
x |
A data.frame output of the |
Value
A data frame with the number of events for each (potential) combination of integer age and age and season quarter of the input dataset. The data frame has the following components:
age |
Integer age to which the time exposed at risk corresponds. |
quarter.age |
Age quarter to which the time exposed at risk corresponds. |
quarter.calendar |
Calendar (time, season) quarter to which the time exposed at risk corresponds. |
number.events |
Number of events that occurred during the quarter determined for the combination of 'age', 'quarter.age' and 'quarter.calendar'. |
Note
The structure of the dataset is similar to those obtained using the time_exposed_outs
,
time_exposed_ins
and time_exposed_stock
functions.
Author(s)
Jose M. Pavia pavia@uv.es
Josep Lledo josep.lledo@uv.es
References
Pavia, JM and Lledo, J (2022). Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk. An application to Spain. *Journal of the Royal Statistical Society, Series A (Statistics in Society)*, 185(2), 471-497. doi:10.1111/rssa.12769
Examples
dates.b <- c("1920-05-13", "1999-04-12", "2019-01-01")
dates.e <- c("2002-03-23", "2009-04-12", "2019-01-01")
x <- quarterly_variables(dates.b, dates.e)
out <- count_events_quarter(x)