apc.data.list.subset: Cut age, period and cohort groups from data set.

Description

For a recursive analysis it is useful to be able to cut age, period and cohort groups from a data set. Function returns an apc.data.list with data.format "trapezoid".

When used with default values the function turns an apc.data.list into a new apc.data.list with data.format "trapezoid" without reducing dataset.

Usage

apc.data.list.subset(apc.data.list,
							age.cut.lower=0,age.cut.upper=0,
							per.cut.lower=0,per.cut.upper=0,
							coh.cut.lower=0,coh.cut.upper=0,
							apc.index=NULL,
							suppress.warning=FALSE)

Value

response: matrix (or vector). Numbers of responses.
dose: matrix (or NULL). Numbers of doses.
data.format: "trapezoid"
age1: Numeric.
per1: Numeric.
coh1: Numeric.
unit: Numeric.
per.zero: Numeric.
per.max: Numeric.

Arguments

apc.data.list: List. See apc.data.list for a description of the format.
age.cut.lower: Optional. Numeric. Specifies how many age groups to cut at lower end. Default is zero.
per.cut.lower: Optional. Numeric. Specifies how many period groups to cut at lower end. Default is zero.
coh.cut.lower: Optional. Numeric. Specifies how many cohort groups to cut at lower end. Default is zero.
age.cut.upper: Optional. Numeric. Specifies how many age groups to cut at upper end. Default is zero.
per.cut.upper: Optional. Numeric. Specifies how many period groups to cut at upper end. Default is zero.
coh.cut.upper: Optional. Numeric. Specifies how many cohort groups to cut at upper end. Default is zero.
apc.index: Optional. List. See apc.get.index for a description of the format. If not provided this is computed internally.
suppress.warning: Optional. Logical. Suppresses warnings. This is useful when generating data sums using apc.data.sums but reducing the data set so much that models cannot be fitted.

Arguments: Notes

If apc.index is supplied then the input can be simplified. It suffices to write apc.data.list = list(response=response,data.format=data.format,dose=dose), where dose could be dose=NULL. Likewise apc.index does not need to be a full apc.index list. It suffices to construct a list with entries age.max, per.max, coh.max, age1, per1, coh1, unit, per.zero, index.trap, index.data.

Author

Bent Nielsen <bent.nielsen@nuffield.ox.ac.uk> 4 Dec 2013 recoded 26 Apr 2017

Examples

Run this code

###############
#	Artificial data
#	Generate a 5x7 matrix and make arbitrary decisions for rest

response <- matrix(data=seq(1:35),nrow=5,ncol=7)
data.list	<- list(response=response,dose=NULL,data.format="AP",
					age1=25,per1=1955,coh1=NULL,unit=5,
					per.zero=NULL,per.max=NULL,time.adjust=0)
data.list

apc.data.list.subset(data.list,1,1,0,0,0,0)

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