stat_segm: Calculate statistics on a given segmentation

In rpatin/segclust2d: Bivariate Segmentation/Clustering Methods and Tools

Calculate statistics on a given segmentation

Description

stat_segm calculates statistics of a given segmentation : mean and variance of the different states. it also creates standard objects for plot.

Usage

stat_segm(
  data,
  diag.var,
  order.var = NULL,
  param = NULL,
  seg.type = NULL,
  nseg
)

Arguments

data	the data.frame with the different variable
diag.var	names of the variables on which statistics are calculated
order.var	names of the variable with which states are ordered
param	parameters of output segmentation
seg.type	either 'hybrid' or 'dynprog'
nseg	number of segment chosen

Value

a list which first element is a data.frame with states of the different segments and which second element is a data.frame with mean and variance of the different states

Examples

## Not run: 
#res.segclust is a result of a segmentation-clustering algorithm
param <- res.segclust$param[["3 class"]]
nseg = 10
out <- stat_segm(data, diag.var = c("dist","angle"),
 order.var = "dist", param = param, nseg=nseg, seg.type = "segclust")


## End(Not run)

rpatin/segclust2d documentation built on April 24, 2024, 2:22 a.m.