seqtab | R Documentation |
Computes the frequency table of the sequences (count and percent of each sequence).
seqtab(seqdata, idxs = 1:10, weighted = TRUE, format = "SPS", tlim)
seqdata |
a sequence object as defined by the |
idxs |
returns the table for the sequences at ranks ' |
weighted |
if |
format |
format used for displaying the rownames (the sequences) in the output table.
Default is SPS format, which yields shorter and more readable sequence representations.
Alternatively, |
tlim |
Deprecated. Use |
The weighted
argument has no effect when no weights were assigned to the state sequence object since weights default in that case to 1.
An object of class stslist.freq
. This is actually a state sequence object (containing a list of state sequences) with added attributes, among others the freq
attribute containing the frequency table. There are print
and plot
methods for such objects. More sophisticated plots can be produced with the seqplot
function.
Alexis Gabadinho (with Gilbert Ritschard for the help page)
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.
seqplot, plot.stslist.freq
.
## Creating a sequence object from the actcal 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)
## 10 most frequent sequences in the data
seqtab(actcal.seq)
## With idxs=0, we get all distinct sequences in the data set
## sorted in decreasing order of their frequency
stab <- seqtab(actcal.seq, idxs=0)
head(stab)
tail(stab)
## Example with weights
## from biofam data set using weigths
data(ex1)
ex1.seq <- seqdef(ex1, 1:13, weights=ex1$weights)
## Unweighted frequencies
seqtab(ex1.seq, weighted=FALSE)
## Weighted frequencies
seqtab(ex1.seq, weighted=TRUE)
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