plot_segm: Plot segmentation on time-serie

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

Plot segmentation on time-serie

Description

plot_segm plot segmented time serie.

Usage

plot_segm(
  data,
  output,
  interactive = FALSE,
  diag.var,
  x_col = "expectTime",
  html = FALSE,
  order = FALSE,
  stationarity = FALSE
)

Arguments

data	the data.frame with the different variable
output	outputs of the segmentation or segclust algorithm for one number of segment
interactive	should graph be interactive through leaflet ?
diag.var	names of the variables on which statistics are calculated
x_col	column name for time
html	should the graph be incorporated in a markdown file through htmltools::tagList()
order	should cluster be ordered
stationarity	if TRUE, cut each segment in three and plot each part with its own mean to assess stationarity of each segment

Value

a graph

Examples

## Not run: 
#res.segclust is the results of the segmentation-clustering algorithm
ncluster = 3
nseg = 10
 g <- plot_segm(data = res.segclust$data, output =
  res.segclust$outputs[[paste(ncluster,"class -",nseg, "segments")]], 
   diag.var = x$`Diagnostic variables`,x_col = 'dateTime)
#res.seg is the results of the segmentation-only algorithm
nseg = 10
 g <- plot_segm(data = res.segclust$data, 
 output = res.segclust$outputs[[paste(nseg, "segments")]], 
  diag.var = x$`Diagnostic variables`,x_col = 'dateTime)
 

## End(Not run)

rpatin/segtools documentation built on April 30, 2024, 1:11 p.m.