Segmentation of movement data. No clustering. Method available for data.frame, move and ltraj object. The algorithm finds for each number of segment the optimal segmentation using a Dynamic Programming approach. The number of segment is then chosen using Lavielle's (2005) procedure based on locating rupture in the penalized likelihood.
segmentation(x, ...)# S3 method for data.frame
segmentation(x, ...)
# S3 method for Move
segmentation(x, ...)
# S3 method for ltraj
segmentation(x, ...)
segmentation_internal(
x,
seg.var,
diag.var,
order.var,
lmin,
Kmax,
scale.variable,
sameSigma = FALSE,
...
)
a segmentation-class object
data.frame with observations
additional parameters given to chooseseg_lavielle
names of the variables used for segmentation (either one or two names).
names of the variables on which statistics are calculated.
names of the variable with which states are ordered.
minimum length of segments.
maximum number of segments.
TRUE or FALSE for automatic scaling of variables (reduction and centering)
does segments have same variance ?