longToWideList: longToWideList

In tagteam/heaven: Data Preparation Routines for Medical Registry Data

longToWideList

Description

This function is designed for the RTMLE package where time dependent covariates are reqiored to be a list of data.tables. The input is a dataframe og data.table with an ID variable and columns for each covariate. The output is a named list of wide data.tables as required by RTMLE.

Usage

longToWideList(data,ID,variables)

Arguments

data	is a dataframe or data.table with the input
ID	is the variable defining the individual
variables	is a vector of variable names to be managed
invars	vector of column names for id/entry/exit - in that order, example: c("id","start","end")

Details

The program checks that input variables correct type. It is assumed that the input has an ID column and then a columne for each relevant variable in the "variables" vector. For each individual it is assumed that there are an equal number of records corresponding to the time intervals in the RTMLE analysis.

It is important that the data table is sorted such that blocks of rows represent all data from an individual in the correct sequence of time slices for the RTMLE analysis.

Value

The function returns a named list of data.tables. Each element corresponds to a variable is has the original variable name. Each data.table has the following columns: The ID variable and then a sequences of variables condstructed by 1) the variable name 2) "_" and 3) numbers from zero to as many periods were planned for the RTMLE analysis.

Author(s)

Christian Torp-Pedersen

See Also

RTMLE

Examples

library(data.table)
dat <- data.table(pnr=c(as.character(rep(1:3,3))),
                    A=c(0,1), B=c(1,0))
#setkey(dat,"pnr")
out <- longToWideList(dat,"pnr",c("A","B"))                

tagteam/heaven documentation built on April 13, 2025, 6:24 a.m.