R: Table of transitions

statetable.msm {msm} | R Documentation

## Table of transitions

### Description

Calculates a frequency table counting the number of times each pair of states were observed in successive observation times. This can be a useful way of summarising multi-state data.

### Usage

    statetable.msm(state, subject, data=NULL)

### Arguments

`state` | Observed states, assumed to be ordered by time within each subject.
`subject` | Subject identification numbers corresponding to `state`. If not given, all observations are assumed to be on the same subject.
`data` | An optional data frame in which the variables represented by `subject` and `state` can be found.

### Details

If the data are intermittently observed (panel data) this table should not be used to decide what transitions should be allowed in the Q matrix, which works in continuous time. This function counts the transitions between states over a time interval, not in real time. There can be observed transitions between state r and s over an interval even if q_{rs}=0, because the process may have passed through one or more intermediate states in the middle of the interval.

### Value

A frequency table with starting states as rows and finishing states as columns.

### Author(s)

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk

### See Also

`crudeinits.msm`

### Examples

    ## Heart transplant data
    data(cav)

    ## 148 deaths from state 1, 48 from state 2 and 55 from state 3.
    statetable.msm(state, PTNUM, data=cav)

[Package msm version 1.6.8 Index]