formatPopulation: Format a population data set

In diseasemapping: Modelling Spatial Variation in Disease Risk for Areal Data

Format a population data set

Description

The formatCases funtion formats the population data set. Reshape the population data set to "long" format, add in 4 columns : GROUP, POPULATION, sex and age.

Usage

## S4 method for signature 'data.frame'
formatPopulation(
popdata, aggregate.by = NULL, breaks = NULL, ...
)
## S4 method for signature 'SpatVector'
formatPopulation(
popdata, aggregate.by = NULL, breaks = NULL, ...
)
## S4 method for signature 'list'
formatPopulation(
popdata, aggregate.by = NULL, breaks = NULL,  
	years=as.integer(names(popdata)), year.range=NULL, 
	 time="YEAR", 
        personYears=TRUE,...
)

Arguments

popdata

population data set. It can be a data frame, list, database connection, or spatial polygon data frame

aggregate.by

if want to view the data set from a macro way, could aggregate the data set by age or sex or other variables

breaks

age breaks the user want to use. i.e breaks = c(10, 20, 30 ,40, 60, Inf).

time	the time variable, i.e years
personYears	convert populations to person-years
years	a vector with the year of each dataset
year.range	two dimensional vector with first and last year
...	additional arguments

Details

After using the formatPopulation function, it will return the population data set in the same class as the original data set. i.e if a spatial polygon data frame has been put into the formatPopulation function, it will return a spatial polygon data frame. If aggregate.by is not NULL, the number of cases will be sum up by the groups define in aggregate.by. The "Group" column contains information of sex and age groups,in the format of M.55, denotes male, year 55. The "POPULATION" column is a numeric column, denotes the size of population for the particular age and sex group. The "age" column will be a "character" column contains ages in a cut format. i.e [50,55), denotes age 50. The cut breaks will get from the breaks of population data set or define by user. The sex column will have two levels "M" and "F" as factors.

Value

A data frame or spatial object, matching the input.

Note

If breaks is not specified, the function will aggregate by "age" as default.

Author(s)

Patrick Brown

Examples

data('kentucky')
kentucky = terra::unwrap(kentucky)
head(terra::values(kentucky))
poptry <- formatPopulation(kentucky, breaks = c(seq(0, 80, by=10), Inf))
head(poptry)
poptryagg <- formatPopulation(kentucky, 
  breaks = c(seq(0, 80, by=10), Inf), 
  aggregate.by=c("sex", "age"))
head(poptryagg)

diseasemapping documentation built on Sept. 22, 2023, 1:07 a.m.