Segmentation of movement data - Generic function

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,
  ...
)

Arguments

x

data.frame with observations

...

additional parameters given to chooseseg_lavielle

seg.var

names of the variables used for segmentation (either one or two names).

diag.var

names of the variables on which statistics are calculated.

order.var

names of the variable with which states are ordered.

lmin

minimum length of segments.

Kmax

maximum number of segments.

scale.variable

TRUE or FALSE for automatic scaling of variables (reduction and centering)

sameSigma

does segments have same variance ?

Value

a segmentation-class object

Examples