data.reshape: Reshaping individual patient data
In compeir: Event-specific incidence rates for competing risks data

Description Usage Arguments Value Note See Also Examples

Aggregates individual patient data and combines it in a data.frame format required for irates

1	data.reshape(times, events, covar, no.event.code, event.code = NULL, covar.code = NULL)

`times`	Timepoints corresponding to event status for each individual (vector or factor)
`events`	Event status for each individual (vector or factor)
`covar`	Event status for each individual (vector or factor)
`no.event.code`	A character or numerical value that specifies the value in `events` corresponding to “no event observed”.
`event.code`	A character or numerical value that specifies the respective competing events in `events`. If `NULL`, `event.code` will be automatically extracted from `events`
`covar.code`	A character or numerical value that specifies the respective covariate values in `covar`. If `NULL`, `covar.code` will be automatically extracted from `covar`

An object of class data.frame of the form data.frame(time, no.event.code, event.code) with row.names given by covar.code and corresponding aggregated data entries.

With individual patient data you may also perform non-parametric competing risks analyses, e.g., estimating the cumulative event-specific hazards by applying the package mvna or estimating the cumulative incidence function (CIF) by using the package etm. etm is also required as a diagnostic tool in CIFplot that enables to compare parametric and non-parametric CIF estimates.

irates, CIFplot, mvna, etm

### Example data: 
### Pneumonia on admission in intenive care unit patients

data(sir.adm)

data.reshape(
		times = sir.adm$time, 
		events = sir.adm$status, 
		covar = sir.adm$pneu, 
		no.event.code = "0")

### Example data: 
### Bloodstream infections in stem-cell transplanted patients

data(okiss)

data.reshape(
		times = okiss$time, 
		events = okiss$status, 
		covar = okiss$allo, 
		no.event.code = "11")