recdata: Create the rectime data object

In TianmengL/rectime: Implement kernel smoothing method in regression models for recurrent event data.

Description

Create the rectime data object used as input of other functions.

Usage

recdata(id, type, time, data)

Arguments

id	the column name for the subject id in the dataset.
type	the column name for the variable which indicates the type of each observation: 1: event visit; 2: regular visit; 0: censoring.
time	the column name for the time variable.
data	the dataset. Must include: a column for the subject id, a column for the observation type, a column for the time variable and several columns for the covariates. Note that we assume that time variable starts from 0 and it needs to be 'numeric'. The covariates need to be 'numeric' as well.

Details

The rectime data object is a list of two datasets: d.event is for the event observations; d.regular is for the observations at regular visits. The observations with a missing time variable will be deleted: for d.event, the whole subject will be deleted if the time variable is missing in one observation; for d.regular, only the observation with missing time variable will be deleted. In addition, in d.event and d.regular, the column names for subject id, type of observation and censoring time are fixed as: "id", "type", "cent".

Value

A list of two datasets: d.event and d.regular.

Examples

data(simdata)
recd <- recdata(id="id", type="type", time="time", data=simdata)

TianmengL/rectime documentation built on June 5, 2021, 8:29 p.m.