seqmodst {TraMineR} R Documentation

## Sequence of modal states

### Description

Sequence made of the modal state at each position.

### Usage

seqmodst(seqdata, weighted=TRUE, with.missing=FALSE)


### Arguments

 seqdata a state sequence object as defined by the seqdef function. weighted if TRUE, distributions account for the weights assigned to the state sequence object (see seqdef). Set as FALSE if you want ignore the weights. with.missing If FALSE (default value), returned distributions ignore missing values.

### Details

In case of multiple modal states at a given position, the first one is taken. Hence, the result may vary with the alphabet order.

### Value

an object of class stslist.modst. This is actually a state sequence object (containing a single state sequence) with additional attributes, among which the Frequencies attribute containing the transversal frequency of each state in the sequence. There are print and plot methods for such objects. More sophisticated plots can be produced with the seqplot function.

### References

Gabadinho, A., G. Ritschard, N. S. MÃ¼ller and M. Studer (2011). Analyzing and Visualizing State Sequences in R with TraMineR. Journal of Statistical Software 40(4), 1-37.

plot.stslist.modst for default plot method, seqplot for higher level plots.

### Examples

## Defining a sequence object with the data in columns 10 to 25
## (family status from age 15 to 30) in the biofam data set
data(biofam)
biofam.lab <- c("Parent", "Left", "Married", "Left+Marr",
"Child", "Left+Child", "Left+Marr+Child", "Divorced")
biofam.seq <- seqdef(biofam, 10:25, labels=biofam.lab)

## Modal state sequence
seqmodst(biofam.seq)

## Examples using weights and with.missing arguments
data(ex1)
ex1.seq <- seqdef(ex1, 1:13, weights=ex1\$weights)

seqmodst(ex1.seq)
seqmodst(ex1.seq, weighted=FALSE)
seqmodst(ex1.seq, weighted=FALSE, with.missing=TRUE)


[Package TraMineR version 2.2-10 Index]