seqibad: Badness index

In TraMineR: Trajectory Miner: a Sequence Analysis Toolkit

Badness index

Description

Badness index of each sequence, i.e. the sum of undesirableness of each state weighted by the potential to integrate that state in the sequence.

Usage

  seqibad(seqdata, pow=1, with.missing=FALSE, ...)

Arguments

seqdata	a state sequence object (stslist) as returned by seqdef.
pow	real. Exponent applied to the position in the sequence. Higher value increase the importance of recency (see seqintegration). Default is 1.
with.missing	logical: should non-void missing values be treated as a regular state? If FALSE (default) missing values are ignored.
...	arguments such as stprec or state.order required by seqprecstart to determine/normalize the state undesirableness degrees.

Details

For each sequence, the badness is the sum of the undesirableness of each state weighted by the potential to integrate the state. As long as pow is strictly greater than zero, the undesirableness of states occurring at the end of the sequence get higher weights than those at the beginning. The index reaches its maximum 1 for a sequence made of a single spell in the worst state and the minimum 0 for a sequence made of a single spell is the most favorable state.

Value

A vector with the badness index for each sequence.

Author(s)

Gilbert Ritschard

References

Ritschard, G. (2023), "Measuring the nature of individual sequences", Sociological Methods and Research, 52(4), 2016-2049. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/00491241211036156")}.

See Also

seqintegr, seqidegrad, seqprecarity

Examples

data(ex1)
sx <- seqdef(ex1[,1:13], right="DEL")

seqibad(sx) ## using original alphabet order
seqibad(sx, stprec=c(1,2,3,6)) ## user defined undesirableness values
seqibad(sx, with.missing=TRUE, state.order=c('A','B','C','D'))

TraMineR documentation built on May 29, 2024, 5 a.m.