seqmeant {TraMineR}

Mean durations in each state

Description

Compute the mean total time spent in each state of the alphabet for the set of sequences given as input.

Usage

seqmeant(seqdata, weighted=TRUE, with.missing=FALSE, prop=FALSE, serr=FALSE)

Arguments

seqdata

a sequence object as defined by the seqdef function.

weighted

logical: if TRUE, the weights (weights attribute) attached to the sequence object are used for computing weighted mean total time.

with.missing

logical: if set to TRUE, cumulated durations are also computed for the missing status (gaps in the sequences). See seqdef on options for handling missing values when creating sequence objects.

prop

logical: if TRUE, proportions of time spent in each state are returned instead of absolute values. This option is especially useful when sequences contain missing states, since the sum of the state durations may not be the same for all sequences.

serr

logical: if TRUE, the variance and standard deviation of the total time spent in the states, as well as the standard error of the mean are also computed.

Value

An object of class stslist.meant. There are print and plot methods for such objects.

Author(s)

Alexis Gabadinho

References

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

See Also

plot.stslist.meant for basic plots of stslist.meant objects and seqmtplot (seqplot with type="mt") argument for more sophisticated plots of the mean durations allowing grouping and legend.

Examples

## Defining a sequence object with columns 13 to 24
## in the actcal example data set
data(actcal)
actcal.lab <- c("> 37 hours", "19-36 hours", "1-18 hours", "no work")
actcal.seq <- seqdef(actcal,13:24,labels=actcal.lab)

## Computing the mean time in the different states
seqmeant(actcal.seq)

## Mean times with their standard error 
seqmeant(actcal.seq, serr=TRUE)